#brain-computer-interface — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #brain-computer-interface, aggregated by home.social.
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DATE: June 30, 2026 at 02:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Bilingual brains use a shared neural map to translate meaning across languages
A recent study published in the journal Cell provides evidence that the human brain uses a shared organizational map, or geometry, to represent word meanings across different languages. By recording individual brain cells in bilingual individuals, scientists found that while each language relies on distinct cellular activity patterns, the overall structural relationship between word meanings remains consistent. This suggests that the brain maintains a universal, language-independent internal model for meaning.
Human beings possess the unique ability to comprehend and express identical thoughts in multiple languages without confusing them. Previous brain imaging research indicates that bilingual speakers rely on overlapping brain regions when processing their different languages. Regions traditionally associated with language, such as the inferior frontal gyrus and posterior temporal cortex, show similar activation patterns whether a person is speaking English or Spanish.
However, these broad brain scans do not capture how the brain matches equivalent concepts across languages while keeping the languages functionally separate. A collaborative research team from Baylor College of Medicine, Rice University, and Sungkyunkwan University sought to understand this phenomenon at the level of individual brain cells.
The research team proposed that the bilingual brain might organize meaning by using a shared neural geometry. In this context, neural geometry refers to the mathematical distances and relationships between words represented in a high-dimensional space within the brain.
“Our findings suggest that the brain may store meaning in a language-independent format,” said Dr. Sameer Sheth, a professor of neurosurgery, McNair Scholar, and Cullen Foundation Endowed Chair at Baylor College of Medicine, and co-senior author of the study. “Different languages appear to access a shared conceptual map rather than creating entirely separate representations of the world.”
The research team specifically focused on the hippocampus, a brain region known to play a central role in memory and the linking of concepts. Because the hippocampus is buried deep within the brain, it is typically difficult to study during active language processing.
To observe these deep brain structures, the scientists recruited four fully balanced bilingual patients who spoke both English and Spanish. These patients were already undergoing surgical procedures for treatment-resistant epilepsy. This medical situation provided a rare opportunity to implant high-density microelectrodes directly into the hippocampus. Three patients received standard microelectrodes, while one patient received a highly advanced Neuropixels probe, allowing the scientists to record the electrical spikes of individual neurons.
The scientists designed three distinct tasks for the participants to perform. In the first task, all four patients spent about 120 minutes passively listening to matched stories and podcasts in both English and Spanish. The audio content included educational science podcasts from a creator called Kurzgesagt and excerpts from the audiobook “Eat, Pray, Love.” This provided thousands of spoken words for the researchers to analyze across multiple sessions.
In the second task, two of the patients read 99 matched short phrases on a computer screen and spoke them out loud. Finally, these same two patients participated in unstructured, naturalistic conversations. They spoke with native speakers of each language for periods ranging from 32 to 99 minutes. The scientists then aligned the spoken audio with the recorded neural activity to track how the brain responded to specific words.
The scientists closely analyzed the firing rates of the recorded neurons in response to equivalent words across languages. They first looked for cross-language neurons, which are individual brain cells that respond identically to translated pairs like “earth” and “tierra.” They identified a small subset of these neurons, providing evidence that a few isolated cells do handle direct translation.
However, these specific cells were rare, meaning they could not entirely explain how the brain processes two languages seamlessly. The findings suggest that translation is not driven primarily by specialized dictionary neurons, but instead emerges from coordinated activity across large neural populations.
“Our results show that bilingual meaning is an emergent property of neural populations,” said Xinyuan Yan, a postdoctoral scholar at Baylor College of Medicine and lead author of the study. “The brain does not appear to rely on one-to-one translation cells. Instead, it preserves patterns of relationships among concepts across languages.”
To understand the bigger picture, the authors compared the patients’ neural activity to an artificial intelligence tool called multilingual BERT. BERT is a large language model that learns cross-linguistic representations by processing massive amounts of text. The scientists extracted contextual word embeddings from the artificial intelligence model.
Contextual word embeddings are mathematical representations of words that capture their meaning based on surrounding text. The scientists then mapped these artificial representations alongside the actual firing rates of the human hippocampal neurons. They found notable similarities between the geometry of semantic representations in the hippocampus and the internal organization of modern artificial intelligence systems trained on multiple languages.
“Large language models and the human brain may be converging on similar computational solutions for representing meaning,” said Benjamin Hayden, an adjunct professor of electrical and computer engineering and linguistics at Rice University, professor of neurosurgery and McNair Scholar at Baylor, and co-senior author of the study. “That does not mean AI works exactly like the brain, but it suggests there may be universal principles for organizing knowledge.”
The findings revealed that the specific semantic tuning curves of most individual neurons differed substantially between English and Spanish. A semantic tuning curve is essentially a profile of how a specific neuron responds to different word meanings across a wide variety of topics. Because these profiles did not match, it indicated that the brain uses language-specific recipes to process words. An individual neuron might fire strongly for the English word “dog” but remain completely quiet for the Spanish word “perro.”
Despite this difference at the cellular level, the overall population of neurons maintained a preserved geometric organization across both languages. The researchers measured the mathematical distances between the neural responses for different words. They found that the overarching map of word meanings in English tends to mirror the map in Spanish perfectly.
The brain achieves this by using the same population of neurons but reading their activity from different angles, or axes, depending on the language being spoken. This phenomenon is similar to looking at a three-dimensional object from two different viewpoints. The object’s shape remains identical, but the visible profile changes based on your perspective.
“This helps explain how bilingual people can switch between languages so fluidly,” Hayden said. “The brain seems to maintain a common internal structure for meaning while simultaneously keeping languages distinct enough to avoid interference.”
The shared semantic structure was so robust that the researchers could use it to predict neural responses. By looking at a cluster of related words in English, the scientists could mathematically rotate the data to accurately predict how the brain would respond to a held-out Spanish word. This form of zero-shot learning demonstrates that the overall geometry provides enough information for translation, even without a direct word-to-word mapping at the individual neuron level.
Beyond the scientific arena, this discovery may be of broader interest in the humanities and social sciences. The concept of a stable, shared geometric neural map provides evidence for a structuralist view of language, an intellectual current often traced back to Swiss linguist Ferdinand de Saussure. Structuralism holds that meaning transcends individual cultural expressions and instead relies on an underlying universal structure or system.
In addition to advancing basic neuroscience, the authors note that these findings could influence the development of brain-computer interfaces. They may also inform language rehabilitation therapies and future artificial intelligence systems designed to communicate more naturally with humans.
While these findings offer deep insights into bilingualism, readers should be aware of a few limitations. One potential misinterpretation is that these results apply to all language learners. The patients in this study were all highly proficient, early-acquired bilinguals, meaning they learned both languages around age four or five. It remains unknown if individuals who learn a second language later in life share this identical neural geometry.
Additionally, the researchers caution that the study features a very small sample size of only four participants. This is due to the extreme rarity of finding balanced bilingual patients who require deep brain electrode implants for medical reasons. The authors point out that the study only examined English and Spanish. These two languages share many linguistic roots and structural similarities.
Another limitation involves the medical status of the participants. One of the patients was recorded under general anesthesia after a portion of their temporal lobe had been removed. While the data from this patient largely matched the others, the anesthesia and surgery could have altered normal brain activity patterns.
Future research could expand on these findings by testing unrelated language pairs, such as English and Mandarin, and by observing larger populations. Scientists also hope to study participants as they actively learn a new language. Tracking the brain during the learning process could reveal exactly how this shared semantic geometry forms and aligns over time.
The study, “Shared neural geometries for bilingual semantic representations in human hippocampal neurons,” was authored by Xinyuan Yan, Ana G. Chavez, Melissa Franch, Kalman A. Katlowitz, Ivy Gautam, Brian Kim, Aaditya Krishna, Aadit Shrivastava, Katie Van Arsdel, James Belanger, Assia Chericoni, Taha Ismail, Elizabeth A. Mickiewicz, Danika Paulo, Hanlin Zhu, Alica M. Goldman, Vaishnav Krishnan, Atul Maheshwari, Eleonora Bartoli, Nicole R. Provenza, Seng Bum Michael Yoo, Benjamin Y. Hayden, and Sameer A. Sheth.
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BilingualBrain #NeuralGeometry #SharedSemanticMap #LanguageProcessing #HippocampusResearch #CrossLanguageTranslation #NeuroscienceStudy #MultilingualBERTComparison #BrainComputerInterface #LanguageRehabilitation
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DATE: June 30, 2026 at 02:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Bilingual brains use a shared neural map to translate meaning across languages
A recent study published in the journal Cell provides evidence that the human brain uses a shared organizational map, or geometry, to represent word meanings across different languages. By recording individual brain cells in bilingual individuals, scientists found that while each language relies on distinct cellular activity patterns, the overall structural relationship between word meanings remains consistent. This suggests that the brain maintains a universal, language-independent internal model for meaning.
Human beings possess the unique ability to comprehend and express identical thoughts in multiple languages without confusing them. Previous brain imaging research indicates that bilingual speakers rely on overlapping brain regions when processing their different languages. Regions traditionally associated with language, such as the inferior frontal gyrus and posterior temporal cortex, show similar activation patterns whether a person is speaking English or Spanish.
However, these broad brain scans do not capture how the brain matches equivalent concepts across languages while keeping the languages functionally separate. A collaborative research team from Baylor College of Medicine, Rice University, and Sungkyunkwan University sought to understand this phenomenon at the level of individual brain cells.
The research team proposed that the bilingual brain might organize meaning by using a shared neural geometry. In this context, neural geometry refers to the mathematical distances and relationships between words represented in a high-dimensional space within the brain.
“Our findings suggest that the brain may store meaning in a language-independent format,” said Dr. Sameer Sheth, a professor of neurosurgery, McNair Scholar, and Cullen Foundation Endowed Chair at Baylor College of Medicine, and co-senior author of the study. “Different languages appear to access a shared conceptual map rather than creating entirely separate representations of the world.”
The research team specifically focused on the hippocampus, a brain region known to play a central role in memory and the linking of concepts. Because the hippocampus is buried deep within the brain, it is typically difficult to study during active language processing.
To observe these deep brain structures, the scientists recruited four fully balanced bilingual patients who spoke both English and Spanish. These patients were already undergoing surgical procedures for treatment-resistant epilepsy. This medical situation provided a rare opportunity to implant high-density microelectrodes directly into the hippocampus. Three patients received standard microelectrodes, while one patient received a highly advanced Neuropixels probe, allowing the scientists to record the electrical spikes of individual neurons.
The scientists designed three distinct tasks for the participants to perform. In the first task, all four patients spent about 120 minutes passively listening to matched stories and podcasts in both English and Spanish. The audio content included educational science podcasts from a creator called Kurzgesagt and excerpts from the audiobook “Eat, Pray, Love.” This provided thousands of spoken words for the researchers to analyze across multiple sessions.
In the second task, two of the patients read 99 matched short phrases on a computer screen and spoke them out loud. Finally, these same two patients participated in unstructured, naturalistic conversations. They spoke with native speakers of each language for periods ranging from 32 to 99 minutes. The scientists then aligned the spoken audio with the recorded neural activity to track how the brain responded to specific words.
The scientists closely analyzed the firing rates of the recorded neurons in response to equivalent words across languages. They first looked for cross-language neurons, which are individual brain cells that respond identically to translated pairs like “earth” and “tierra.” They identified a small subset of these neurons, providing evidence that a few isolated cells do handle direct translation.
However, these specific cells were rare, meaning they could not entirely explain how the brain processes two languages seamlessly. The findings suggest that translation is not driven primarily by specialized dictionary neurons, but instead emerges from coordinated activity across large neural populations.
“Our results show that bilingual meaning is an emergent property of neural populations,” said Xinyuan Yan, a postdoctoral scholar at Baylor College of Medicine and lead author of the study. “The brain does not appear to rely on one-to-one translation cells. Instead, it preserves patterns of relationships among concepts across languages.”
To understand the bigger picture, the authors compared the patients’ neural activity to an artificial intelligence tool called multilingual BERT. BERT is a large language model that learns cross-linguistic representations by processing massive amounts of text. The scientists extracted contextual word embeddings from the artificial intelligence model.
Contextual word embeddings are mathematical representations of words that capture their meaning based on surrounding text. The scientists then mapped these artificial representations alongside the actual firing rates of the human hippocampal neurons. They found notable similarities between the geometry of semantic representations in the hippocampus and the internal organization of modern artificial intelligence systems trained on multiple languages.
“Large language models and the human brain may be converging on similar computational solutions for representing meaning,” said Benjamin Hayden, an adjunct professor of electrical and computer engineering and linguistics at Rice University, professor of neurosurgery and McNair Scholar at Baylor, and co-senior author of the study. “That does not mean AI works exactly like the brain, but it suggests there may be universal principles for organizing knowledge.”
The findings revealed that the specific semantic tuning curves of most individual neurons differed substantially between English and Spanish. A semantic tuning curve is essentially a profile of how a specific neuron responds to different word meanings across a wide variety of topics. Because these profiles did not match, it indicated that the brain uses language-specific recipes to process words. An individual neuron might fire strongly for the English word “dog” but remain completely quiet for the Spanish word “perro.”
Despite this difference at the cellular level, the overall population of neurons maintained a preserved geometric organization across both languages. The researchers measured the mathematical distances between the neural responses for different words. They found that the overarching map of word meanings in English tends to mirror the map in Spanish perfectly.
The brain achieves this by using the same population of neurons but reading their activity from different angles, or axes, depending on the language being spoken. This phenomenon is similar to looking at a three-dimensional object from two different viewpoints. The object’s shape remains identical, but the visible profile changes based on your perspective.
“This helps explain how bilingual people can switch between languages so fluidly,” Hayden said. “The brain seems to maintain a common internal structure for meaning while simultaneously keeping languages distinct enough to avoid interference.”
The shared semantic structure was so robust that the researchers could use it to predict neural responses. By looking at a cluster of related words in English, the scientists could mathematically rotate the data to accurately predict how the brain would respond to a held-out Spanish word. This form of zero-shot learning demonstrates that the overall geometry provides enough information for translation, even without a direct word-to-word mapping at the individual neuron level.
Beyond the scientific arena, this discovery may be of broader interest in the humanities and social sciences. The concept of a stable, shared geometric neural map provides evidence for a structuralist view of language, an intellectual current often traced back to Swiss linguist Ferdinand de Saussure. Structuralism holds that meaning transcends individual cultural expressions and instead relies on an underlying universal structure or system.
In addition to advancing basic neuroscience, the authors note that these findings could influence the development of brain-computer interfaces. They may also inform language rehabilitation therapies and future artificial intelligence systems designed to communicate more naturally with humans.
While these findings offer deep insights into bilingualism, readers should be aware of a few limitations. One potential misinterpretation is that these results apply to all language learners. The patients in this study were all highly proficient, early-acquired bilinguals, meaning they learned both languages around age four or five. It remains unknown if individuals who learn a second language later in life share this identical neural geometry.
Additionally, the researchers caution that the study features a very small sample size of only four participants. This is due to the extreme rarity of finding balanced bilingual patients who require deep brain electrode implants for medical reasons. The authors point out that the study only examined English and Spanish. These two languages share many linguistic roots and structural similarities.
Another limitation involves the medical status of the participants. One of the patients was recorded under general anesthesia after a portion of their temporal lobe had been removed. While the data from this patient largely matched the others, the anesthesia and surgery could have altered normal brain activity patterns.
Future research could expand on these findings by testing unrelated language pairs, such as English and Mandarin, and by observing larger populations. Scientists also hope to study participants as they actively learn a new language. Tracking the brain during the learning process could reveal exactly how this shared semantic geometry forms and aligns over time.
The study, “Shared neural geometries for bilingual semantic representations in human hippocampal neurons,” was authored by Xinyuan Yan, Ana G. Chavez, Melissa Franch, Kalman A. Katlowitz, Ivy Gautam, Brian Kim, Aaditya Krishna, Aadit Shrivastava, Katie Van Arsdel, James Belanger, Assia Chericoni, Taha Ismail, Elizabeth A. Mickiewicz, Danika Paulo, Hanlin Zhu, Alica M. Goldman, Vaishnav Krishnan, Atul Maheshwari, Eleonora Bartoli, Nicole R. Provenza, Seng Bum Michael Yoo, Benjamin Y. Hayden, and Sameer A. Sheth.
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BilingualBrain #NeuralGeometry #SharedSemanticMap #LanguageProcessing #HippocampusResearch #CrossLanguageTranslation #NeuroscienceStudy #MultilingualBERTComparison #BrainComputerInterface #LanguageRehabilitation
-
DATE: June 30, 2026 at 02:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Bilingual brains use a shared neural map to translate meaning across languages
A recent study published in the journal Cell provides evidence that the human brain uses a shared organizational map, or geometry, to represent word meanings across different languages. By recording individual brain cells in bilingual individuals, scientists found that while each language relies on distinct cellular activity patterns, the overall structural relationship between word meanings remains consistent. This suggests that the brain maintains a universal, language-independent internal model for meaning.
Human beings possess the unique ability to comprehend and express identical thoughts in multiple languages without confusing them. Previous brain imaging research indicates that bilingual speakers rely on overlapping brain regions when processing their different languages. Regions traditionally associated with language, such as the inferior frontal gyrus and posterior temporal cortex, show similar activation patterns whether a person is speaking English or Spanish.
However, these broad brain scans do not capture how the brain matches equivalent concepts across languages while keeping the languages functionally separate. A collaborative research team from Baylor College of Medicine, Rice University, and Sungkyunkwan University sought to understand this phenomenon at the level of individual brain cells.
The research team proposed that the bilingual brain might organize meaning by using a shared neural geometry. In this context, neural geometry refers to the mathematical distances and relationships between words represented in a high-dimensional space within the brain.
“Our findings suggest that the brain may store meaning in a language-independent format,” said Dr. Sameer Sheth, a professor of neurosurgery, McNair Scholar, and Cullen Foundation Endowed Chair at Baylor College of Medicine, and co-senior author of the study. “Different languages appear to access a shared conceptual map rather than creating entirely separate representations of the world.”
The research team specifically focused on the hippocampus, a brain region known to play a central role in memory and the linking of concepts. Because the hippocampus is buried deep within the brain, it is typically difficult to study during active language processing.
To observe these deep brain structures, the scientists recruited four fully balanced bilingual patients who spoke both English and Spanish. These patients were already undergoing surgical procedures for treatment-resistant epilepsy. This medical situation provided a rare opportunity to implant high-density microelectrodes directly into the hippocampus. Three patients received standard microelectrodes, while one patient received a highly advanced Neuropixels probe, allowing the scientists to record the electrical spikes of individual neurons.
The scientists designed three distinct tasks for the participants to perform. In the first task, all four patients spent about 120 minutes passively listening to matched stories and podcasts in both English and Spanish. The audio content included educational science podcasts from a creator called Kurzgesagt and excerpts from the audiobook “Eat, Pray, Love.” This provided thousands of spoken words for the researchers to analyze across multiple sessions.
In the second task, two of the patients read 99 matched short phrases on a computer screen and spoke them out loud. Finally, these same two patients participated in unstructured, naturalistic conversations. They spoke with native speakers of each language for periods ranging from 32 to 99 minutes. The scientists then aligned the spoken audio with the recorded neural activity to track how the brain responded to specific words.
The scientists closely analyzed the firing rates of the recorded neurons in response to equivalent words across languages. They first looked for cross-language neurons, which are individual brain cells that respond identically to translated pairs like “earth” and “tierra.” They identified a small subset of these neurons, providing evidence that a few isolated cells do handle direct translation.
However, these specific cells were rare, meaning they could not entirely explain how the brain processes two languages seamlessly. The findings suggest that translation is not driven primarily by specialized dictionary neurons, but instead emerges from coordinated activity across large neural populations.
“Our results show that bilingual meaning is an emergent property of neural populations,” said Xinyuan Yan, a postdoctoral scholar at Baylor College of Medicine and lead author of the study. “The brain does not appear to rely on one-to-one translation cells. Instead, it preserves patterns of relationships among concepts across languages.”
To understand the bigger picture, the authors compared the patients’ neural activity to an artificial intelligence tool called multilingual BERT. BERT is a large language model that learns cross-linguistic representations by processing massive amounts of text. The scientists extracted contextual word embeddings from the artificial intelligence model.
Contextual word embeddings are mathematical representations of words that capture their meaning based on surrounding text. The scientists then mapped these artificial representations alongside the actual firing rates of the human hippocampal neurons. They found notable similarities between the geometry of semantic representations in the hippocampus and the internal organization of modern artificial intelligence systems trained on multiple languages.
“Large language models and the human brain may be converging on similar computational solutions for representing meaning,” said Benjamin Hayden, an adjunct professor of electrical and computer engineering and linguistics at Rice University, professor of neurosurgery and McNair Scholar at Baylor, and co-senior author of the study. “That does not mean AI works exactly like the brain, but it suggests there may be universal principles for organizing knowledge.”
The findings revealed that the specific semantic tuning curves of most individual neurons differed substantially between English and Spanish. A semantic tuning curve is essentially a profile of how a specific neuron responds to different word meanings across a wide variety of topics. Because these profiles did not match, it indicated that the brain uses language-specific recipes to process words. An individual neuron might fire strongly for the English word “dog” but remain completely quiet for the Spanish word “perro.”
Despite this difference at the cellular level, the overall population of neurons maintained a preserved geometric organization across both languages. The researchers measured the mathematical distances between the neural responses for different words. They found that the overarching map of word meanings in English tends to mirror the map in Spanish perfectly.
The brain achieves this by using the same population of neurons but reading their activity from different angles, or axes, depending on the language being spoken. This phenomenon is similar to looking at a three-dimensional object from two different viewpoints. The object’s shape remains identical, but the visible profile changes based on your perspective.
“This helps explain how bilingual people can switch between languages so fluidly,” Hayden said. “The brain seems to maintain a common internal structure for meaning while simultaneously keeping languages distinct enough to avoid interference.”
The shared semantic structure was so robust that the researchers could use it to predict neural responses. By looking at a cluster of related words in English, the scientists could mathematically rotate the data to accurately predict how the brain would respond to a held-out Spanish word. This form of zero-shot learning demonstrates that the overall geometry provides enough information for translation, even without a direct word-to-word mapping at the individual neuron level.
Beyond the scientific arena, this discovery may be of broader interest in the humanities and social sciences. The concept of a stable, shared geometric neural map provides evidence for a structuralist view of language, an intellectual current often traced back to Swiss linguist Ferdinand de Saussure. Structuralism holds that meaning transcends individual cultural expressions and instead relies on an underlying universal structure or system.
In addition to advancing basic neuroscience, the authors note that these findings could influence the development of brain-computer interfaces. They may also inform language rehabilitation therapies and future artificial intelligence systems designed to communicate more naturally with humans.
While these findings offer deep insights into bilingualism, readers should be aware of a few limitations. One potential misinterpretation is that these results apply to all language learners. The patients in this study were all highly proficient, early-acquired bilinguals, meaning they learned both languages around age four or five. It remains unknown if individuals who learn a second language later in life share this identical neural geometry.
Additionally, the researchers caution that the study features a very small sample size of only four participants. This is due to the extreme rarity of finding balanced bilingual patients who require deep brain electrode implants for medical reasons. The authors point out that the study only examined English and Spanish. These two languages share many linguistic roots and structural similarities.
Another limitation involves the medical status of the participants. One of the patients was recorded under general anesthesia after a portion of their temporal lobe had been removed. While the data from this patient largely matched the others, the anesthesia and surgery could have altered normal brain activity patterns.
Future research could expand on these findings by testing unrelated language pairs, such as English and Mandarin, and by observing larger populations. Scientists also hope to study participants as they actively learn a new language. Tracking the brain during the learning process could reveal exactly how this shared semantic geometry forms and aligns over time.
The study, “Shared neural geometries for bilingual semantic representations in human hippocampal neurons,” was authored by Xinyuan Yan, Ana G. Chavez, Melissa Franch, Kalman A. Katlowitz, Ivy Gautam, Brian Kim, Aaditya Krishna, Aadit Shrivastava, Katie Van Arsdel, James Belanger, Assia Chericoni, Taha Ismail, Elizabeth A. Mickiewicz, Danika Paulo, Hanlin Zhu, Alica M. Goldman, Vaishnav Krishnan, Atul Maheshwari, Eleonora Bartoli, Nicole R. Provenza, Seng Bum Michael Yoo, Benjamin Y. Hayden, and Sameer A. Sheth.
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BilingualBrain #NeuralGeometry #SharedSemanticMap #LanguageProcessing #HippocampusResearch #CrossLanguageTranslation #NeuroscienceStudy #MultilingualBERTComparison #BrainComputerInterface #LanguageRehabilitation
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DATE: June 28, 2026 at 10:55PM
SOURCE: SCIENCE DAILY PSYCHOLOGY FEEDTITLE: Brain activity under anesthesia challenges what we know about consciousness
URL: https://www.sciencedaily.com/releases/2026/06/260624025514.htm
The unconscious brain appears to be far more capable than scientists once believed. Researchers found that patients under general anesthesia could still process language at a sophisticated level, distinguishing nouns, verbs, and adjectives while listening to stories. Even more remarkably, neural activity showed signs of predicting upcoming words before they were heard. The results challenge traditional ideas about consciousness and hint at new possibilities for brain-computer interfaces.
URL: https://www.sciencedaily.com/releases/2026/06/260624025514.htm
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BrainUnderAnesthesia #ConsciousnessResearch #UnconsciousProcessing #NeuroscienceBreakthrough #LanguageThroughSleep #GeneralAnesthesia #PredictiveBrainActivity #BrainComputerInterface #NeuralPredictors #CognitiveScience
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DATE: June 28, 2026 at 10:55PM
SOURCE: SCIENCE DAILY PSYCHOLOGY FEEDTITLE: Brain activity under anesthesia challenges what we know about consciousness
URL: https://www.sciencedaily.com/releases/2026/06/260624025514.htm
The unconscious brain appears to be far more capable than scientists once believed. Researchers found that patients under general anesthesia could still process language at a sophisticated level, distinguishing nouns, verbs, and adjectives while listening to stories. Even more remarkably, neural activity showed signs of predicting upcoming words before they were heard. The results challenge traditional ideas about consciousness and hint at new possibilities for brain-computer interfaces.
URL: https://www.sciencedaily.com/releases/2026/06/260624025514.htm
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BrainUnderAnesthesia #ConsciousnessResearch #UnconsciousProcessing #NeuroscienceBreakthrough #LanguageThroughSleep #GeneralAnesthesia #PredictiveBrainActivity #BrainComputerInterface #NeuralPredictors #CognitiveScience
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DATE: June 28, 2026 at 10:55PM
SOURCE: SCIENCE DAILY PSYCHOLOGY FEEDTITLE: Brain activity under anesthesia challenges what we know about consciousness
URL: https://www.sciencedaily.com/releases/2026/06/260624025514.htm
The unconscious brain appears to be far more capable than scientists once believed. Researchers found that patients under general anesthesia could still process language at a sophisticated level, distinguishing nouns, verbs, and adjectives while listening to stories. Even more remarkably, neural activity showed signs of predicting upcoming words before they were heard. The results challenge traditional ideas about consciousness and hint at new possibilities for brain-computer interfaces.
URL: https://www.sciencedaily.com/releases/2026/06/260624025514.htm
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BrainUnderAnesthesia #ConsciousnessResearch #UnconsciousProcessing #NeuroscienceBreakthrough #LanguageThroughSleep #GeneralAnesthesia #PredictiveBrainActivity #BrainComputerInterface #NeuralPredictors #CognitiveScience
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DATE: June 28, 2026 at 10:55PM
SOURCE: SCIENCE DAILY MIND-BRAIN FEEDTITLE: Brain activity under anesthesia challenges what we know about consciousness
URL: https://www.sciencedaily.com/releases/2026/06/260624025514.htm
The unconscious brain appears to be far more capable than scientists once believed. Researchers found that patients under general anesthesia could still process language at a sophisticated level, distinguishing nouns, verbs, and adjectives while listening to stories. Even more remarkably, neural activity showed signs of predicting upcoming words before they were heard. The results challenge traditional ideas about consciousness and hint at new possibilities for brain-computer interfaces.
URL: https://www.sciencedaily.com/releases/2026/06/260624025514.htm
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #Consciousness #Anesthesia #BrainActivity #UnconsciousMind #LanguageProcessing #Neuroscience #BrainComputerInterface #NeuralPrediction #CognitiveScience #MindScience
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DATE: June 28, 2026 at 10:55PM
SOURCE: SCIENCE DAILY MIND-BRAIN FEEDTITLE: Brain activity under anesthesia challenges what we know about consciousness
URL: https://www.sciencedaily.com/releases/2026/06/260624025514.htm
The unconscious brain appears to be far more capable than scientists once believed. Researchers found that patients under general anesthesia could still process language at a sophisticated level, distinguishing nouns, verbs, and adjectives while listening to stories. Even more remarkably, neural activity showed signs of predicting upcoming words before they were heard. The results challenge traditional ideas about consciousness and hint at new possibilities for brain-computer interfaces.
URL: https://www.sciencedaily.com/releases/2026/06/260624025514.htm
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #Consciousness #Anesthesia #BrainActivity #UnconsciousMind #LanguageProcessing #Neuroscience #BrainComputerInterface #NeuralPrediction #CognitiveScience #MindScience
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DATE: June 28, 2026 at 10:55PM
SOURCE: SCIENCE DAILY MIND-BRAIN FEEDTITLE: Brain activity under anesthesia challenges what we know about consciousness
URL: https://www.sciencedaily.com/releases/2026/06/260624025514.htm
The unconscious brain appears to be far more capable than scientists once believed. Researchers found that patients under general anesthesia could still process language at a sophisticated level, distinguishing nouns, verbs, and adjectives while listening to stories. Even more remarkably, neural activity showed signs of predicting upcoming words before they were heard. The results challenge traditional ideas about consciousness and hint at new possibilities for brain-computer interfaces.
URL: https://www.sciencedaily.com/releases/2026/06/260624025514.htm
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #Consciousness #Anesthesia #BrainActivity #UnconsciousMind #LanguageProcessing #Neuroscience #BrainComputerInterface #NeuralPrediction #CognitiveScience #MindScience
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Unable to speak, ALS patient now talks, surfs the web, and works through a brain implant https://www.byteseu.com/2140737/ #BrainComputerInterface #CaseyHarrell #MITTechnologyReview #Technology
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@jzb Stand fast brain-computer interface! Uh-oh.
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@jzb Stand fast brain-computer interface! Uh-oh.
-
@jzb Stand fast brain-computer interface! Uh-oh.
-
@jzb Stand fast brain-computer interface! Uh-oh.
-
@jzb Stand fast brain-computer interface! Uh-oh.
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https://www.europesays.com/at/228088/ BrainGate-BCI: 99% Wortgenauigkeit im Alltag – Sprach-Implantat für ALS nach Jahren #Accuracy #AI #Als #ARTIFICIALINTELLIGENCE #AT #Austria #BrainComputerInterface #Decoder #Gesundheit #Health #Healthcare #HomeUse #Implant #KI #KünstlicheIntelligenz #MachineLearning #Neural #Österreich #Privacy #RealTime #Speech
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In a massive technological upset, China’s National Medical Products Administration has officially granted the world’s first commercial approval for an invasive brain-computer interface beating Elon Musk’s Neuralink to the mass market.
#neurotech #braincomputerinterface #bci #neuralink #elonmuskquotes #technews #futuretech #biotech #neuroscience #chinatech
-
In a massive technological upset, China’s National Medical Products Administration has officially granted the world’s first commercial approval for an invasive brain-computer interface beating Elon Musk’s Neuralink to the mass market.
#neurotech #braincomputerinterface #bci #neuralink #elonmuskquotes #technews #futuretech #biotech #neuroscience #chinatech
-
In a massive technological upset, China’s National Medical Products Administration has officially granted the world’s first commercial approval for an invasive brain-computer interface beating Elon Musk’s Neuralink to the mass market.
#neurotech #braincomputerinterface #bci #neuralink #elonmuskquotes #technews #futuretech #biotech #neuroscience #chinatech
-
In a massive technological upset, China’s National Medical Products Administration has officially granted the world’s first commercial approval for an invasive brain-computer interface beating Elon Musk’s Neuralink to the mass market.
#neurotech #braincomputerinterface #bci #neuralink #elonmuskquotes #technews #futuretech #biotech #neuroscience #chinatech
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🧠🧪 #Brains as #chemicalComputers: Why modern #AI can't yet replicate our #thinking
📎 https://philosophies.de/index.php/2021/12/05/wie-wirklich-ist-bewusstsein/
📺 https://youtu.be/0LG4gU_jfik
#GerhardRoth #Consciousness #Neuroscience #BrainResearch # Cognition #PhilosophyOfMind #BrainComputerInterface #CognitiveNeuroscience #MindBodyProblem #Reality #BodyMindProblem #NeuralNetworks #AIAndConsciousness #ArtificialIntelligence #ChemicalComputers #CognitiveScience #Zoomposium
-
🧠🧪 #Brains as #chemicalComputers: Why modern #AI can't yet replicate our #thinking
📎 https://philosophies.de/index.php/2021/12/05/wie-wirklich-ist-bewusstsein/
📺 https://youtu.be/0LG4gU_jfik
#GerhardRoth #Consciousness #Neuroscience #BrainResearch # Cognition #PhilosophyOfMind #BrainComputerInterface #CognitiveNeuroscience #MindBodyProblem #Reality #BodyMindProblem #NeuralNetworks #AIAndConsciousness #ArtificialIntelligence #ChemicalComputers #CognitiveScience #Zoomposium
-
🧠🧪 #Brains as #chemicalComputers: Why modern #AI can't yet replicate our #thinking
📎 https://philosophies.de/index.php/2021/12/05/wie-wirklich-ist-bewusstsein/
📺 https://youtu.be/0LG4gU_jfik
#GerhardRoth #Consciousness #Neuroscience #BrainResearch # Cognition #PhilosophyOfMind #BrainComputerInterface #CognitiveNeuroscience #MindBodyProblem #Reality #BodyMindProblem #NeuralNetworks #AIAndConsciousness #ArtificialIntelligence #ChemicalComputers #CognitiveScience #Zoomposium
-
🧠🧪 #Brains as #chemicalComputers: Why modern #AI can't yet replicate our #thinking
📎 https://philosophies.de/index.php/2021/12/05/wie-wirklich-ist-bewusstsein/
📺 https://youtu.be/0LG4gU_jfik
#GerhardRoth #Consciousness #Neuroscience #BrainResearch # Cognition #PhilosophyOfMind #BrainComputerInterface #CognitiveNeuroscience #MindBodyProblem #Reality #BodyMindProblem #NeuralNetworks #AIAndConsciousness #ArtificialIntelligence #ChemicalComputers #CognitiveScience #Zoomposium
-
🧠🧪 #Brains as #chemicalComputers: Why modern #AI can't yet replicate our #thinking
📎 https://philosophies.de/index.php/2021/12/05/wie-wirklich-ist-bewusstsein/
📺 https://youtu.be/0LG4gU_jfik
#GerhardRoth #Consciousness #Neuroscience #BrainResearch # Cognition #PhilosophyOfMind #BrainComputerInterface #CognitiveNeuroscience #MindBodyProblem #Reality #BodyMindProblem #NeuralNetworks #AIAndConsciousness #ArtificialIntelligence #ChemicalComputers #CognitiveScience #Zoomposium
-
#BrainComputerInterface : ALS-Patient nutzt Hirnimplantat 19 Monate lang | heise online https://www.heise.de/news/Brain-Computer-Interface-ALS-Patient-nutzt-Hirnimplantat-19-Monate-lang-11333175.html #Forschung #research #Wissenschaft #science #ArtificialIntelligence #AI #BCI
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#BrainComputerInterface : ALS-Patient nutzt Hirnimplantat 19 Monate lang | heise online https://www.heise.de/news/Brain-Computer-Interface-ALS-Patient-nutzt-Hirnimplantat-19-Monate-lang-11333175.html #Forschung #research #Wissenschaft #science #ArtificialIntelligence #AI #BCI
-
#BrainComputerInterface : ALS-Patient nutzt Hirnimplantat 19 Monate lang | heise online https://www.heise.de/news/Brain-Computer-Interface-ALS-Patient-nutzt-Hirnimplantat-19-Monate-lang-11333175.html #Forschung #research #Wissenschaft #science #ArtificialIntelligence #AI #BCI
-
#BrainComputerInterface : ALS-Patient nutzt Hirnimplantat 19 Monate lang | heise online https://www.heise.de/news/Brain-Computer-Interface-ALS-Patient-nutzt-Hirnimplantat-19-Monate-lang-11333175.html #Forschung #research #Wissenschaft #science #ArtificialIntelligence #AI #BCI
-
#BrainComputerInterface : ALS-Patient nutzt Hirnimplantat 19 Monate lang | heise online https://www.heise.de/news/Brain-Computer-Interface-ALS-Patient-nutzt-Hirnimplantat-19-Monate-lang-11333175.html #Forschung #research #Wissenschaft #science #ArtificialIntelligence #AI #BCI
-
DATE: June 16, 2026 at 10:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Unprecedented brain implant allows paralyzed man to completely control his computer and “speak” independently
A recent study published in Nature Medicine provides evidence that a specialized brain implant can allow a person with severe paralysis to independently communicate and operate a computer at home. By translating brain signals into text and computer cursor movements, the system allowed the participant to converse and work without needing daily supervision from scientists. These findings represent a substantial step toward creating practical assistive devices for people who have lost the ability to speak or move.
Amyotrophic lateral sclerosis is a progressive neurological disease that gradually impairs a person’s ability to control their muscles. This condition often leads to a complete loss of speech and physical mobility. To help individuals with this condition, scientists have been developing brain-computer interfaces. These are systems that record electrical activity directly from the brain and translate it into digital commands.
In previous laboratory experiments, these interfaces have shown promise by allowing paralyzed individuals to type or control a cursor using their thoughts. However, these experimental systems usually required a team of technicians to set up the equipment and manually adjust the software to keep it working accurately. The neural signals recorded from the brain tend to shift slightly from day to day, requiring frequent recalibration.
“For years, BCIs have been proof-of-concept devices that lived in highly controlled research labs,” said David Brandman, co-senior author of the study and associate professor in the University of California, Davis, Department of Neurological Surgery. “This work shows that we may have crossed a threshold, by empowering a person with paralysis to speak on his own terms.” Brandman also serves as the co-director of the UC Davis Neuroprosthetics Lab.
The transition from a supervised laboratory demonstration to a practical communication device requires a system that a patient and their family can operate on their own. A collaborative team of scientists from the University of California, Davis, Brown University, and Mass General Brigham developed a modified interface designed specifically to overcome these barriers. The new system bypasses the need for constant expert supervision. They programmed the software to automatically update itself in the background, creating a user-friendly process for independent home use.
The study involved a single participant, 47-year-old Casey Harrell, who enrolled in an ongoing clinical trial. Harrell has amyotrophic lateral sclerosis, which has caused severe weakness in his arms and legs, a condition known as tetraparesis. The disease has also made his speech very hard to understand, a symptom referred to as dysarthria.
In 2023, surgeons implanted four tiny sensor arrays, each containing 64 microscopic electrodes, into the surface of Harrell’s brain. These sensors were placed in the precentral gyrus, a specific area of the motor cortex responsible for coordinating speech. The 256 microscopic electrodes recorded the electrical firing of individual brain cells. This raw neural data was sent through a physical wired connection embedded in his skull to a nearby computing system.
The computing setup consisted of several networked computers mounted on a mobile cart in Harrell’s home. The software relied on advanced artificial intelligence models to decipher his intentions in real time. For speech decoding, the system continuously analyzed the brain signals while he attempted to silently mouth words. The software predicted the corresponding speech sounds, known as phonemes, and formed full sentences on a screen.
The system utilized a vast vocabulary of 125,000 words. “In our previous study, we showed 97% accurate word decoding. But Harrell could only use the neuroprosthesis when someone from our research team was there to set it up,” said Sergey Stavisky, co-senior author of the study and assistant professor in the UC Davis Department of Neurological Surgery. Stavisky also serves as the co-director of the UC Davis Neuroprosthetics Lab.
“Now we’ve made improvements that bring this medical technology closer to clinical usefulness: He can use it at home without researcher support,” Stavisky explained. “It’s even more accurate (99%), keeping up as he attempts to speak faster, and has been working very well for almost two years.”
For computer control, the system translated Harrell’s thoughts of moving his hand into the directional movements of a computer mouse pointer. A simple thought of squeezing his hand was translated into a digital mouse click. The researchers also integrated a commercial eye-tracking device. This allowed him to select on-screen buttons by simply looking at them for a fraction of a second.
After an initial testing phase, the research team allowed Harrell and his family to use the system on their own. Caregivers were taught how to connect the wires and turn on the software. This daily setup process took about twenty minutes. Once the system was running, he could use it continuously for up to nineteen hours without any assistance from the scientific team.
“Casey can use the system to communicate his own thoughts, not only while we’re there in a controlled environment, but whenever he wants,” said Nicholas Card, lead author of the study and postdoctoral scholar in the UC Davis Department of Neurological Surgery. “Sometimes, he would do that over 12 straight hours. The system worked well, was reliable and stable, and delivered consistent results.”
Card added that the success of the home setup is a major milestone for assistive technology. “This is one of the strongest demonstrations that BCIs can be practical and useful,” he noted. Over the course of nearly two years, Harrell used the interface for more than 3,800 hours. He operated the device independently on a near-daily basis.
During that time, Harrell communicated more than 183,000 sentences and close to two million words. In controlled testing, he rated 92 percent of his sentences as accurate or mostly correct. His average speaking rate reached 56 words per minute, a speed that increased significantly as he became more accustomed to the system.
“It is a life that is more full of dynamic action and with friends and family, with colleagues, and it is something that allows me to communicate more in my natural way of communicating than any other technology that I have experienced,” Harrell shared through the brain-computer interface system. The software even included an optional text-to-speech feature trained to match his voice from before his diagnosis. “It is very sweet to have the ability to look at my wife’s eyes when she hears my voice and conjures up a sweet memory and to explain to my daughter who does not really remember anything about when I was still talking to them and remind them of what I used to sound like,” he added.
[Regents of the University of California, Davis]
Harrell also used the interface to gain full control over his personal computer. By combining the brain-to-text feature with the mind-controlled computer cursor, he browsed the internet and sent emails and text messages. He also participated in video calls and was able to maintain ongoing communication and employment despite his paralysis.
The immense amount of personal use time provided the researchers with an unprecedented amount of data. “In addition to testing a way to restore communication, this clinical trial is producing a wealth of unique data that we’re studying to better understand how the human brain produces speech,” Stavisky said.
“As far as we know, these 3,800 hours of brain recording as Casey used the system is by far the largest individual brain recording dataset with single neuron resolution,” Stavisky added. “This will help us develop even better therapies.” Future analysis of this data tends to yield new insights into the neurological mechanics of language.
While the outcomes are highly promising, the study has limitations that should be noted. The research involved only a single participant, meaning the results might not automatically apply to other individuals with different neurological conditions. The system also relies on physical wires passing through the skin. This setup carries a small risk of infection and requires daily maintenance.
The current computer equipment is quite bulky and is confined to a large mobile cart. This physical hardware requirement limits the user’s mobility and prevents the system from being used outside the home environment. Readers should also be aware of potential financial conflicts of interest among the research team, as several authors hold patents related to speech decoding technologies. Some team members also serve as advisors for neurotechnology companies that could benefit from related scientific advancements.
“This fundamental advance in BCI technology could not have been possible without the tireless dedication of participants in clinical trials,” Brandman said. “It is by working together with them that we have achieved so much. Thanks to them, the future will be brighter for people living with ALS, spinal cord injuries and other neurological conditions.”
The study, “Long-term independent use of an intracortical brain–computer interface for speech and cursor control,” was authored by Nicholas S. Card, Tyler Singer-Clark, Hamza Peracha, Carrina Iacobacci, Xianda Hou, Maitreyee Wairagkar, Zachery Fogg, Elena C. Offenberg, Leigh R. Hochberg, Sergey D. Stavisky, and David M. Brandman.
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BrainComputerInterface #BCI #Neuroprosthetics #ALS #SpeechDecoding #Neural implants #HomeUseBCI #ParalysisInnovation #Neuroscience #MindControlledComputing
-
DATE: June 16, 2026 at 10:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Unprecedented brain implant allows paralyzed man to completely control his computer and “speak” independently
A recent study published in Nature Medicine provides evidence that a specialized brain implant can allow a person with severe paralysis to independently communicate and operate a computer at home. By translating brain signals into text and computer cursor movements, the system allowed the participant to converse and work without needing daily supervision from scientists. These findings represent a substantial step toward creating practical assistive devices for people who have lost the ability to speak or move.
Amyotrophic lateral sclerosis is a progressive neurological disease that gradually impairs a person’s ability to control their muscles. This condition often leads to a complete loss of speech and physical mobility. To help individuals with this condition, scientists have been developing brain-computer interfaces. These are systems that record electrical activity directly from the brain and translate it into digital commands.
In previous laboratory experiments, these interfaces have shown promise by allowing paralyzed individuals to type or control a cursor using their thoughts. However, these experimental systems usually required a team of technicians to set up the equipment and manually adjust the software to keep it working accurately. The neural signals recorded from the brain tend to shift slightly from day to day, requiring frequent recalibration.
“For years, BCIs have been proof-of-concept devices that lived in highly controlled research labs,” said David Brandman, co-senior author of the study and associate professor in the University of California, Davis, Department of Neurological Surgery. “This work shows that we may have crossed a threshold, by empowering a person with paralysis to speak on his own terms.” Brandman also serves as the co-director of the UC Davis Neuroprosthetics Lab.
The transition from a supervised laboratory demonstration to a practical communication device requires a system that a patient and their family can operate on their own. A collaborative team of scientists from the University of California, Davis, Brown University, and Mass General Brigham developed a modified interface designed specifically to overcome these barriers. The new system bypasses the need for constant expert supervision. They programmed the software to automatically update itself in the background, creating a user-friendly process for independent home use.
The study involved a single participant, 47-year-old Casey Harrell, who enrolled in an ongoing clinical trial. Harrell has amyotrophic lateral sclerosis, which has caused severe weakness in his arms and legs, a condition known as tetraparesis. The disease has also made his speech very hard to understand, a symptom referred to as dysarthria.
In 2023, surgeons implanted four tiny sensor arrays, each containing 64 microscopic electrodes, into the surface of Harrell’s brain. These sensors were placed in the precentral gyrus, a specific area of the motor cortex responsible for coordinating speech. The 256 microscopic electrodes recorded the electrical firing of individual brain cells. This raw neural data was sent through a physical wired connection embedded in his skull to a nearby computing system.
The computing setup consisted of several networked computers mounted on a mobile cart in Harrell’s home. The software relied on advanced artificial intelligence models to decipher his intentions in real time. For speech decoding, the system continuously analyzed the brain signals while he attempted to silently mouth words. The software predicted the corresponding speech sounds, known as phonemes, and formed full sentences on a screen.
The system utilized a vast vocabulary of 125,000 words. “In our previous study, we showed 97% accurate word decoding. But Harrell could only use the neuroprosthesis when someone from our research team was there to set it up,” said Sergey Stavisky, co-senior author of the study and assistant professor in the UC Davis Department of Neurological Surgery. Stavisky also serves as the co-director of the UC Davis Neuroprosthetics Lab.
“Now we’ve made improvements that bring this medical technology closer to clinical usefulness: He can use it at home without researcher support,” Stavisky explained. “It’s even more accurate (99%), keeping up as he attempts to speak faster, and has been working very well for almost two years.”
For computer control, the system translated Harrell’s thoughts of moving his hand into the directional movements of a computer mouse pointer. A simple thought of squeezing his hand was translated into a digital mouse click. The researchers also integrated a commercial eye-tracking device. This allowed him to select on-screen buttons by simply looking at them for a fraction of a second.
After an initial testing phase, the research team allowed Harrell and his family to use the system on their own. Caregivers were taught how to connect the wires and turn on the software. This daily setup process took about twenty minutes. Once the system was running, he could use it continuously for up to nineteen hours without any assistance from the scientific team.
“Casey can use the system to communicate his own thoughts, not only while we’re there in a controlled environment, but whenever he wants,” said Nicholas Card, lead author of the study and postdoctoral scholar in the UC Davis Department of Neurological Surgery. “Sometimes, he would do that over 12 straight hours. The system worked well, was reliable and stable, and delivered consistent results.”
Card added that the success of the home setup is a major milestone for assistive technology. “This is one of the strongest demonstrations that BCIs can be practical and useful,” he noted. Over the course of nearly two years, Harrell used the interface for more than 3,800 hours. He operated the device independently on a near-daily basis.
During that time, Harrell communicated more than 183,000 sentences and close to two million words. In controlled testing, he rated 92 percent of his sentences as accurate or mostly correct. His average speaking rate reached 56 words per minute, a speed that increased significantly as he became more accustomed to the system.
“It is a life that is more full of dynamic action and with friends and family, with colleagues, and it is something that allows me to communicate more in my natural way of communicating than any other technology that I have experienced,” Harrell shared through the brain-computer interface system. The software even included an optional text-to-speech feature trained to match his voice from before his diagnosis. “It is very sweet to have the ability to look at my wife’s eyes when she hears my voice and conjures up a sweet memory and to explain to my daughter who does not really remember anything about when I was still talking to them and remind them of what I used to sound like,” he added.
[Regents of the University of California, Davis]
Harrell also used the interface to gain full control over his personal computer. By combining the brain-to-text feature with the mind-controlled computer cursor, he browsed the internet and sent emails and text messages. He also participated in video calls and was able to maintain ongoing communication and employment despite his paralysis.
The immense amount of personal use time provided the researchers with an unprecedented amount of data. “In addition to testing a way to restore communication, this clinical trial is producing a wealth of unique data that we’re studying to better understand how the human brain produces speech,” Stavisky said.
“As far as we know, these 3,800 hours of brain recording as Casey used the system is by far the largest individual brain recording dataset with single neuron resolution,” Stavisky added. “This will help us develop even better therapies.” Future analysis of this data tends to yield new insights into the neurological mechanics of language.
While the outcomes are highly promising, the study has limitations that should be noted. The research involved only a single participant, meaning the results might not automatically apply to other individuals with different neurological conditions. The system also relies on physical wires passing through the skin. This setup carries a small risk of infection and requires daily maintenance.
The current computer equipment is quite bulky and is confined to a large mobile cart. This physical hardware requirement limits the user’s mobility and prevents the system from being used outside the home environment. Readers should also be aware of potential financial conflicts of interest among the research team, as several authors hold patents related to speech decoding technologies. Some team members also serve as advisors for neurotechnology companies that could benefit from related scientific advancements.
“This fundamental advance in BCI technology could not have been possible without the tireless dedication of participants in clinical trials,” Brandman said. “It is by working together with them that we have achieved so much. Thanks to them, the future will be brighter for people living with ALS, spinal cord injuries and other neurological conditions.”
The study, “Long-term independent use of an intracortical brain–computer interface for speech and cursor control,” was authored by Nicholas S. Card, Tyler Singer-Clark, Hamza Peracha, Carrina Iacobacci, Xianda Hou, Maitreyee Wairagkar, Zachery Fogg, Elena C. Offenberg, Leigh R. Hochberg, Sergey D. Stavisky, and David M. Brandman.
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BrainComputerInterface #BCI #Neuroprosthetics #ALS #SpeechDecoding #Neural implants #HomeUseBCI #ParalysisInnovation #Neuroscience #MindControlledComputing
-
DATE: June 16, 2026 at 10:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Unprecedented brain implant allows paralyzed man to completely control his computer and “speak” independently
A recent study published in Nature Medicine provides evidence that a specialized brain implant can allow a person with severe paralysis to independently communicate and operate a computer at home. By translating brain signals into text and computer cursor movements, the system allowed the participant to converse and work without needing daily supervision from scientists. These findings represent a substantial step toward creating practical assistive devices for people who have lost the ability to speak or move.
Amyotrophic lateral sclerosis is a progressive neurological disease that gradually impairs a person’s ability to control their muscles. This condition often leads to a complete loss of speech and physical mobility. To help individuals with this condition, scientists have been developing brain-computer interfaces. These are systems that record electrical activity directly from the brain and translate it into digital commands.
In previous laboratory experiments, these interfaces have shown promise by allowing paralyzed individuals to type or control a cursor using their thoughts. However, these experimental systems usually required a team of technicians to set up the equipment and manually adjust the software to keep it working accurately. The neural signals recorded from the brain tend to shift slightly from day to day, requiring frequent recalibration.
“For years, BCIs have been proof-of-concept devices that lived in highly controlled research labs,” said David Brandman, co-senior author of the study and associate professor in the University of California, Davis, Department of Neurological Surgery. “This work shows that we may have crossed a threshold, by empowering a person with paralysis to speak on his own terms.” Brandman also serves as the co-director of the UC Davis Neuroprosthetics Lab.
The transition from a supervised laboratory demonstration to a practical communication device requires a system that a patient and their family can operate on their own. A collaborative team of scientists from the University of California, Davis, Brown University, and Mass General Brigham developed a modified interface designed specifically to overcome these barriers. The new system bypasses the need for constant expert supervision. They programmed the software to automatically update itself in the background, creating a user-friendly process for independent home use.
The study involved a single participant, 47-year-old Casey Harrell, who enrolled in an ongoing clinical trial. Harrell has amyotrophic lateral sclerosis, which has caused severe weakness in his arms and legs, a condition known as tetraparesis. The disease has also made his speech very hard to understand, a symptom referred to as dysarthria.
In 2023, surgeons implanted four tiny sensor arrays, each containing 64 microscopic electrodes, into the surface of Harrell’s brain. These sensors were placed in the precentral gyrus, a specific area of the motor cortex responsible for coordinating speech. The 256 microscopic electrodes recorded the electrical firing of individual brain cells. This raw neural data was sent through a physical wired connection embedded in his skull to a nearby computing system.
The computing setup consisted of several networked computers mounted on a mobile cart in Harrell’s home. The software relied on advanced artificial intelligence models to decipher his intentions in real time. For speech decoding, the system continuously analyzed the brain signals while he attempted to silently mouth words. The software predicted the corresponding speech sounds, known as phonemes, and formed full sentences on a screen.
The system utilized a vast vocabulary of 125,000 words. “In our previous study, we showed 97% accurate word decoding. But Harrell could only use the neuroprosthesis when someone from our research team was there to set it up,” said Sergey Stavisky, co-senior author of the study and assistant professor in the UC Davis Department of Neurological Surgery. Stavisky also serves as the co-director of the UC Davis Neuroprosthetics Lab.
“Now we’ve made improvements that bring this medical technology closer to clinical usefulness: He can use it at home without researcher support,” Stavisky explained. “It’s even more accurate (99%), keeping up as he attempts to speak faster, and has been working very well for almost two years.”
For computer control, the system translated Harrell’s thoughts of moving his hand into the directional movements of a computer mouse pointer. A simple thought of squeezing his hand was translated into a digital mouse click. The researchers also integrated a commercial eye-tracking device. This allowed him to select on-screen buttons by simply looking at them for a fraction of a second.
After an initial testing phase, the research team allowed Harrell and his family to use the system on their own. Caregivers were taught how to connect the wires and turn on the software. This daily setup process took about twenty minutes. Once the system was running, he could use it continuously for up to nineteen hours without any assistance from the scientific team.
“Casey can use the system to communicate his own thoughts, not only while we’re there in a controlled environment, but whenever he wants,” said Nicholas Card, lead author of the study and postdoctoral scholar in the UC Davis Department of Neurological Surgery. “Sometimes, he would do that over 12 straight hours. The system worked well, was reliable and stable, and delivered consistent results.”
Card added that the success of the home setup is a major milestone for assistive technology. “This is one of the strongest demonstrations that BCIs can be practical and useful,” he noted. Over the course of nearly two years, Harrell used the interface for more than 3,800 hours. He operated the device independently on a near-daily basis.
During that time, Harrell communicated more than 183,000 sentences and close to two million words. In controlled testing, he rated 92 percent of his sentences as accurate or mostly correct. His average speaking rate reached 56 words per minute, a speed that increased significantly as he became more accustomed to the system.
“It is a life that is more full of dynamic action and with friends and family, with colleagues, and it is something that allows me to communicate more in my natural way of communicating than any other technology that I have experienced,” Harrell shared through the brain-computer interface system. The software even included an optional text-to-speech feature trained to match his voice from before his diagnosis. “It is very sweet to have the ability to look at my wife’s eyes when she hears my voice and conjures up a sweet memory and to explain to my daughter who does not really remember anything about when I was still talking to them and remind them of what I used to sound like,” he added.
[Regents of the University of California, Davis]
Harrell also used the interface to gain full control over his personal computer. By combining the brain-to-text feature with the mind-controlled computer cursor, he browsed the internet and sent emails and text messages. He also participated in video calls and was able to maintain ongoing communication and employment despite his paralysis.
The immense amount of personal use time provided the researchers with an unprecedented amount of data. “In addition to testing a way to restore communication, this clinical trial is producing a wealth of unique data that we’re studying to better understand how the human brain produces speech,” Stavisky said.
“As far as we know, these 3,800 hours of brain recording as Casey used the system is by far the largest individual brain recording dataset with single neuron resolution,” Stavisky added. “This will help us develop even better therapies.” Future analysis of this data tends to yield new insights into the neurological mechanics of language.
While the outcomes are highly promising, the study has limitations that should be noted. The research involved only a single participant, meaning the results might not automatically apply to other individuals with different neurological conditions. The system also relies on physical wires passing through the skin. This setup carries a small risk of infection and requires daily maintenance.
The current computer equipment is quite bulky and is confined to a large mobile cart. This physical hardware requirement limits the user’s mobility and prevents the system from being used outside the home environment. Readers should also be aware of potential financial conflicts of interest among the research team, as several authors hold patents related to speech decoding technologies. Some team members also serve as advisors for neurotechnology companies that could benefit from related scientific advancements.
“This fundamental advance in BCI technology could not have been possible without the tireless dedication of participants in clinical trials,” Brandman said. “It is by working together with them that we have achieved so much. Thanks to them, the future will be brighter for people living with ALS, spinal cord injuries and other neurological conditions.”
The study, “Long-term independent use of an intracortical brain–computer interface for speech and cursor control,” was authored by Nicholas S. Card, Tyler Singer-Clark, Hamza Peracha, Carrina Iacobacci, Xianda Hou, Maitreyee Wairagkar, Zachery Fogg, Elena C. Offenberg, Leigh R. Hochberg, Sergey D. Stavisky, and David M. Brandman.
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Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BrainComputerInterface #BCI #Neuroprosthetics #ALS #SpeechDecoding #Neural implants #HomeUseBCI #ParalysisInnovation #Neuroscience #MindControlledComputing
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DATE: June 16, 2026 at 10:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Unprecedented brain implant allows paralyzed man to completely control his computer and “speak” independently
A recent study published in Nature Medicine provides evidence that a specialized brain implant can allow a person with severe paralysis to independently communicate and operate a computer at home. By translating brain signals into text and computer cursor movements, the system allowed the participant to converse and work without needing daily supervision from scientists. These findings represent a substantial step toward creating practical assistive devices for people who have lost the ability to speak or move.
Amyotrophic lateral sclerosis is a progressive neurological disease that gradually impairs a person’s ability to control their muscles. This condition often leads to a complete loss of speech and physical mobility. To help individuals with this condition, scientists have been developing brain-computer interfaces. These are systems that record electrical activity directly from the brain and translate it into digital commands.
In previous laboratory experiments, these interfaces have shown promise by allowing paralyzed individuals to type or control a cursor using their thoughts. However, these experimental systems usually required a team of technicians to set up the equipment and manually adjust the software to keep it working accurately. The neural signals recorded from the brain tend to shift slightly from day to day, requiring frequent recalibration.
“For years, BCIs have been proof-of-concept devices that lived in highly controlled research labs,” said David Brandman, co-senior author of the study and associate professor in the University of California, Davis, Department of Neurological Surgery. “This work shows that we may have crossed a threshold, by empowering a person with paralysis to speak on his own terms.” Brandman also serves as the co-director of the UC Davis Neuroprosthetics Lab.
The transition from a supervised laboratory demonstration to a practical communication device requires a system that a patient and their family can operate on their own. A collaborative team of scientists from the University of California, Davis, Brown University, and Mass General Brigham developed a modified interface designed specifically to overcome these barriers. The new system bypasses the need for constant expert supervision. They programmed the software to automatically update itself in the background, creating a user-friendly process for independent home use.
The study involved a single participant, 47-year-old Casey Harrell, who enrolled in an ongoing clinical trial. Harrell has amyotrophic lateral sclerosis, which has caused severe weakness in his arms and legs, a condition known as tetraparesis. The disease has also made his speech very hard to understand, a symptom referred to as dysarthria.
In 2023, surgeons implanted four tiny sensor arrays, each containing 64 microscopic electrodes, into the surface of Harrell’s brain. These sensors were placed in the precentral gyrus, a specific area of the motor cortex responsible for coordinating speech. The 256 microscopic electrodes recorded the electrical firing of individual brain cells. This raw neural data was sent through a physical wired connection embedded in his skull to a nearby computing system.
The computing setup consisted of several networked computers mounted on a mobile cart in Harrell’s home. The software relied on advanced artificial intelligence models to decipher his intentions in real time. For speech decoding, the system continuously analyzed the brain signals while he attempted to silently mouth words. The software predicted the corresponding speech sounds, known as phonemes, and formed full sentences on a screen.
The system utilized a vast vocabulary of 125,000 words. “In our previous study, we showed 97% accurate word decoding. But Harrell could only use the neuroprosthesis when someone from our research team was there to set it up,” said Sergey Stavisky, co-senior author of the study and assistant professor in the UC Davis Department of Neurological Surgery. Stavisky also serves as the co-director of the UC Davis Neuroprosthetics Lab.
“Now we’ve made improvements that bring this medical technology closer to clinical usefulness: He can use it at home without researcher support,” Stavisky explained. “It’s even more accurate (99%), keeping up as he attempts to speak faster, and has been working very well for almost two years.”
For computer control, the system translated Harrell’s thoughts of moving his hand into the directional movements of a computer mouse pointer. A simple thought of squeezing his hand was translated into a digital mouse click. The researchers also integrated a commercial eye-tracking device. This allowed him to select on-screen buttons by simply looking at them for a fraction of a second.
After an initial testing phase, the research team allowed Harrell and his family to use the system on their own. Caregivers were taught how to connect the wires and turn on the software. This daily setup process took about twenty minutes. Once the system was running, he could use it continuously for up to nineteen hours without any assistance from the scientific team.
“Casey can use the system to communicate his own thoughts, not only while we’re there in a controlled environment, but whenever he wants,” said Nicholas Card, lead author of the study and postdoctoral scholar in the UC Davis Department of Neurological Surgery. “Sometimes, he would do that over 12 straight hours. The system worked well, was reliable and stable, and delivered consistent results.”
Card added that the success of the home setup is a major milestone for assistive technology. “This is one of the strongest demonstrations that BCIs can be practical and useful,” he noted. Over the course of nearly two years, Harrell used the interface for more than 3,800 hours. He operated the device independently on a near-daily basis.
During that time, Harrell communicated more than 183,000 sentences and close to two million words. In controlled testing, he rated 92 percent of his sentences as accurate or mostly correct. His average speaking rate reached 56 words per minute, a speed that increased significantly as he became more accustomed to the system.
“It is a life that is more full of dynamic action and with friends and family, with colleagues, and it is something that allows me to communicate more in my natural way of communicating than any other technology that I have experienced,” Harrell shared through the brain-computer interface system. The software even included an optional text-to-speech feature trained to match his voice from before his diagnosis. “It is very sweet to have the ability to look at my wife’s eyes when she hears my voice and conjures up a sweet memory and to explain to my daughter who does not really remember anything about when I was still talking to them and remind them of what I used to sound like,” he added.
[Regents of the University of California, Davis]
Harrell also used the interface to gain full control over his personal computer. By combining the brain-to-text feature with the mind-controlled computer cursor, he browsed the internet and sent emails and text messages. He also participated in video calls and was able to maintain ongoing communication and employment despite his paralysis.
The immense amount of personal use time provided the researchers with an unprecedented amount of data. “In addition to testing a way to restore communication, this clinical trial is producing a wealth of unique data that we’re studying to better understand how the human brain produces speech,” Stavisky said.
“As far as we know, these 3,800 hours of brain recording as Casey used the system is by far the largest individual brain recording dataset with single neuron resolution,” Stavisky added. “This will help us develop even better therapies.” Future analysis of this data tends to yield new insights into the neurological mechanics of language.
While the outcomes are highly promising, the study has limitations that should be noted. The research involved only a single participant, meaning the results might not automatically apply to other individuals with different neurological conditions. The system also relies on physical wires passing through the skin. This setup carries a small risk of infection and requires daily maintenance.
The current computer equipment is quite bulky and is confined to a large mobile cart. This physical hardware requirement limits the user’s mobility and prevents the system from being used outside the home environment. Readers should also be aware of potential financial conflicts of interest among the research team, as several authors hold patents related to speech decoding technologies. Some team members also serve as advisors for neurotechnology companies that could benefit from related scientific advancements.
“This fundamental advance in BCI technology could not have been possible without the tireless dedication of participants in clinical trials,” Brandman said. “It is by working together with them that we have achieved so much. Thanks to them, the future will be brighter for people living with ALS, spinal cord injuries and other neurological conditions.”
The study, “Long-term independent use of an intracortical brain–computer interface for speech and cursor control,” was authored by Nicholas S. Card, Tyler Singer-Clark, Hamza Peracha, Carrina Iacobacci, Xianda Hou, Maitreyee Wairagkar, Zachery Fogg, Elena C. Offenberg, Leigh R. Hochberg, Sergey D. Stavisky, and David M. Brandman.
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BrainComputerInterface #BCI #Neuroprosthetics #ALS #SpeechDecoding #Neural implants #HomeUseBCI #ParalysisInnovation #Neuroscience #MindControlledComputing
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https://www.europesays.com/people/113150/ China beats Elon Musk’s ‘Jesus-level technology’ to launch world’s first commercial brain chip #BrainComputerInterface #ChinaBrainChip #CommercialBrainChip #ElonMusk #ElonMuskBrainTechnology #Musk #NEOImplant #NeuralinkTechnology
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Netherlands approves trial of brain implant for ALS communication
Regulatory authorities in the Netherlands have given the green light for a clinical trial testing Ability Neurotech‘s experimental…
#Netherlands #Nederland #NL #Europe #Europa #EU #ALSandspeech #assistivecommunication #braincomputerinterface
https://www.europesays.com/netherlands/18376/ -
RE: https://mastodon.social/@geoworldpolitical/116643300623668483
Your brain will be an edge device of someones cloud.
https://neonephos.org/introduction
Don't be afraid, everything is Open Source.
#Kubernetes #NeoNephos #edge #brain #braincomputerinterface #foss
-
RE: https://mastodon.social/@geoworldpolitical/116643300623668483
Your brain will be an edge device of someones cloud.
https://neonephos.org/introduction
Don't be afraid, everything is Open Source.
#Kubernetes #NeoNephos #edge #brain #braincomputerinterface #foss
-
RE: https://mastodon.social/@geoworldpolitical/116643300623668483
Your brain will be an edge device of someones cloud.
https://neonephos.org/introduction
Don't be afraid, everything is Open Source.
#Kubernetes #NeoNephos #edge #brain #braincomputerinterface #foss
-
RE: https://mastodon.social/@geoworldpolitical/116643300623668483
Your brain will be an edge device of someones cloud.
https://neonephos.org/introduction
Don't be afraid, everything is Open Source.
#Kubernetes #NeoNephos #edge #brain #braincomputerinterface #foss
-
RE: https://mastodon.social/@geoworldpolitical/116643300623668483
Your brain will be an edge device of someones cloud.
https://neonephos.org/introduction
Don't be afraid, everything is Open Source.
#Kubernetes #NeoNephos #edge #brain #braincomputerinterface #foss
-
🧠 🧠 Brain-to-Brain communication has moved beyond science fiction, but our understanding of the present reality has not.
✅ We need public education and discussion about mental privacy issues brought on by the advent of neurotechnological advances.
#b2b #braintobrain #braincomputerinterface #bci #braintobraininterface #bbi #neurosecurity #neurotech #neurorights #consent #privacy #mentalprivacy
-
🧠 🧠 Brain-to-Brain communication has moved beyond science fiction, but our understanding of the present reality has not.
✅ We need public education and discussion about mental privacy issues brought on by the advent of neurotechnological advances.
#b2b #braintobrain #braincomputerinterface #bci #braintobraininterface #bbi #neurosecurity #neurotech #neurorights #consent #privacy #mentalprivacy
-
🧠 🧠 Brain-to-Brain communication has moved beyond science fiction, but our understanding of the present reality has not.
✅ We need public education and discussion about mental privacy issues brought on by the advent of neurotechnological advances.
#b2b #braintobrain #braincomputerinterface #bci #braintobraininterface #bbi #neurosecurity #neurotech #neurorights #consent #privacy #mentalprivacy
-
🧠 🧠 Brain-to-Brain communication has moved beyond science fiction, but our understanding of the present reality has not.
✅ We need public education and discussion about mental privacy issues brought on by the advent of neurotechnological advances.
#b2b #braintobrain #braincomputerinterface #bci #braintobraininterface #bbi #neurosecurity #neurotech #neurorights #consent #privacy #mentalprivacy
-
🧠 🧠 Brain-to-Brain communication has moved beyond science fiction, but our understanding of the present reality has not.
✅ We need public education and discussion about mental privacy issues brought on by the advent of neurotechnological advances.
#b2b #braintobrain #braincomputerinterface #bci #braintobraininterface #bbi #neurosecurity #neurotech #neurorights #consent #privacy #mentalprivacy
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https://www.europesays.com/people/61885/ Elon Musk shares Neuralink update; says: We are building a surgical robot to help solve any … #BrainChipImplant #BrainComputerInterface #ElonMusk #HumanTrials #MedicalTechnology #Musk #NeuralActivity #NeuralInterface #Neuralink #RoboticSurgery #SurgicalRobot
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Forscher der TU München decodieren Gehirnsignale eines gelähmten Patienten über 256 implantierte Mikroelektroden in Echtzeit. Die KI-Modelle interpretieren die neuronalen Muster bei Bewegungsvorstellungen, um digitale Befehle auszuführen. Langfristig soll so ein mechanischer Greifarm gesteuert werden, was Neuralink-Alternativen in Europa aufzeigt.
#TUM #BrainComputerInterface #KI #Neuroprothetik #AIGeneratedImage
https://www.all-ai.de/news/news26top/ki-tum-implantat-robotik
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Forscher der TU München decodieren Gehirnsignale eines gelähmten Patienten über 256 implantierte Mikroelektroden in Echtzeit. Die KI-Modelle interpretieren die neuronalen Muster bei Bewegungsvorstellungen, um digitale Befehle auszuführen. Langfristig soll so ein mechanischer Greifarm gesteuert werden, was Neuralink-Alternativen in Europa aufzeigt.
#TUM #BrainComputerInterface #KI #Neuroprothetik #AIGeneratedImage
https://www.all-ai.de/news/news26top/ki-tum-implantat-robotik
-
Forscher der TU München decodieren Gehirnsignale eines gelähmten Patienten über 256 implantierte Mikroelektroden in Echtzeit. Die KI-Modelle interpretieren die neuronalen Muster bei Bewegungsvorstellungen, um digitale Befehle auszuführen. Langfristig soll so ein mechanischer Greifarm gesteuert werden, was Neuralink-Alternativen in Europa aufzeigt.
#TUM #BrainComputerInterface #KI #Neuroprothetik #AIGeneratedImage
https://www.all-ai.de/news/news26top/ki-tum-implantat-robotik
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https://www.europesays.com/ie/442104/ 3D-Printed “Honeycomb” Sensors Match Your Unique Neural Map #3DPrinting #Bioelectrodes #BrainComputerInterface #BrainResearch #Éire #IE #Ireland #NeuralInterfaces #neurobiology #neurology #Neuroscience #neurotech #PennState #Science
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Science Corp. Plans First Human Trial of Biohybrid Brain Sensor
📰 Original title: Max Hodak’s Science Corp. is preparing to place its first sensor in a human brain
🤖 IA: It's not clickbait ✅
👥 Usuarios: It's not clickbait ✅View full AI summary: https://killbait.com/en/science-corp-plans-first-human-trial-of-biohybrid-brain-sensor/?redirpost=62d17d8b-6162-4bc3-be1b-425f12d6dfdb
-
Science Corp. Plans First Human Trial of Biohybrid Brain Sensor
📰 Original title: Max Hodak’s Science Corp. is preparing to place its first sensor in a human brain
🤖 IA: It's not clickbait ✅
👥 Usuarios: It's not clickbait ✅View full AI summary: https://killbait.com/en/science-corp-plans-first-human-trial-of-biohybrid-brain-sensor/?redirpost=62d17d8b-6162-4bc3-be1b-425f12d6dfdb
-
Science Corp. Plans First Human Trial of Biohybrid Brain Sensor
📰 Original title: Max Hodak’s Science Corp. is preparing to place its first sensor in a human brain
🤖 IA: It's not clickbait ✅
👥 Usuarios: It's not clickbait ✅View full AI summary: https://killbait.com/en/science-corp-plans-first-human-trial-of-biohybrid-brain-sensor/?redirpost=62d17d8b-6162-4bc3-be1b-425f12d6dfdb
-
Science Corp. Plans First Human Trial of Biohybrid Brain Sensor
📰 Original title: Max Hodak’s Science Corp. is preparing to place its first sensor in a human brain
🤖 IA: It's not clickbait ✅
👥 Usuarios: It's not clickbait ✅View full AI summary: https://killbait.com/en/science-corp-plans-first-human-trial-of-biohybrid-brain-sensor/?redirpost=62d17d8b-6162-4bc3-be1b-425f12d6dfdb
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Gehirn 🧠 -Computer 💻 -Schnittstellen: Zwischen Durchbruch und ethischem Dilemma | heise online https://www.heise.de/news/Brain-Computer-Interface-zunehmender-Einsatz-Risiken-lueckenhafte-Rechtslage-11226529.html #BrainComputerInterface #BCI #Digitalisierung #digitalization #DigitalHealth #Datenschutz #privacy
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Gehirn 🧠 -Computer 💻 -Schnittstellen: Zwischen Durchbruch und ethischem Dilemma | heise online https://www.heise.de/news/Brain-Computer-Interface-zunehmender-Einsatz-Risiken-lueckenhafte-Rechtslage-11226529.html #BrainComputerInterface #BCI #Digitalisierung #digitalization #DigitalHealth #Datenschutz #privacy
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Gehirn 🧠 -Computer 💻 -Schnittstellen: Zwischen Durchbruch und ethischem Dilemma | heise online https://www.heise.de/news/Brain-Computer-Interface-zunehmender-Einsatz-Risiken-lueckenhafte-Rechtslage-11226529.html #BrainComputerInterface #BCI #Digitalisierung #digitalization #DigitalHealth #Datenschutz #privacy
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Gehirn 🧠 -Computer 💻 -Schnittstellen: Zwischen Durchbruch und ethischem Dilemma | heise online https://www.heise.de/news/Brain-Computer-Interface-zunehmender-Einsatz-Risiken-lueckenhafte-Rechtslage-11226529.html #BrainComputerInterface #BCI #Digitalisierung #digitalization #DigitalHealth #Datenschutz #privacy
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https://www.europesays.com/ie/381047/ Chinese brain interface startup Gestala raises $21M just two months after launch #AI #ArtificialIntelligence #ArtificialIntelligence #Asia #BrainComputerInterface #BrainTech #China #Éire #exclusive #healthtech #HealthtechStartups #IE #Ireland #MergeLabs #Neuralink #startup #Technology #UltrasoundBCI