#predictiveprocessing — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #predictiveprocessing, aggregated by home.social.
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🧠 #Consciousness in the Context of #Naturalism 🔬 – Explainable or Fundamentally Limited?
In this #Zoomposium, we discuss key challenges in modern #philosophyofmind with #TobiasSchlicht - at the intersection of #neuroscience, #cognitive science, and #analyticalphilosophy.
📎https://philosophies.de/index.php/2026/04/03/bewusstsein-naturalismus/
#Neurophilosophy #Intentionality #Epistemology #AIAndConsciousness #PredictiveProcessing #Enactivism #PhilosophyOfScience
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🧠 #Consciousness in the Context of #Naturalism 🔬 – Explainable or Fundamentally Limited?
In this #Zoomposium, we discuss key challenges in modern #philosophyofmind with #TobiasSchlicht - at the intersection of #neuroscience, #cognitive science, and #analyticalphilosophy.
📎https://philosophies.de/index.php/2026/04/03/bewusstsein-naturalismus/
#Neurophilosophy #Intentionality #Epistemology #AIAndConsciousness #PredictiveProcessing #Enactivism #PhilosophyOfScience
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🧠 #Consciousness in the Context of #Naturalism 🔬 – Explainable or Fundamentally Limited?
In this #Zoomposium, we discuss key challenges in modern #philosophyofmind with #TobiasSchlicht - at the intersection of #neuroscience, #cognitive science, and #analyticalphilosophy.
📎https://philosophies.de/index.php/2026/04/03/bewusstsein-naturalismus/
#Neurophilosophy #Intentionality #Epistemology #AIAndConsciousness #PredictiveProcessing #Enactivism #PhilosophyOfScience
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🧠 #Consciousness in the Context of #Naturalism 🔬 – Explainable or Fundamentally Limited?
In this #Zoomposium, we discuss key challenges in modern #philosophyofmind with #TobiasSchlicht - at the intersection of #neuroscience, #cognitive science, and #analyticalphilosophy.
📎https://philosophies.de/index.php/2026/04/03/bewusstsein-naturalismus/
#Neurophilosophy #Intentionality #Epistemology #AIAndConsciousness #PredictiveProcessing #Enactivism #PhilosophyOfScience
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🧠 #Consciousness in the Context of #Naturalism 🔬 – Explainable or Fundamentally Limited?
In this #Zoomposium, we discuss key challenges in modern #philosophyofmind with #TobiasSchlicht - at the intersection of #neuroscience, #cognitive science, and #analyticalphilosophy.
📎https://philosophies.de/index.php/2026/04/03/bewusstsein-naturalismus/
#Neurophilosophy #Intentionality #Epistemology #AIAndConsciousness #PredictiveProcessing #Enactivism #PhilosophyOfScience
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🧠 #Bewusstsein im Spannungsfeld des #Naturalismus 🔬 – Erklärbar oder prinzipiell begrenzt?
Im aktuellen #Zoomposium diskutieren wir mit #TobiasSchlicht zentrale Herausforderungen der modernen #PhilosophiedesGeistes – an der Schnittstelle von #Neurowissenschaft, #Kognitionswissenschaft und #analytischerPhilosophie.
📎https://philosophies.de/index.php/2026/04/03/bewusstsein-naturalismus/
#Neurophilosophie #Intentionalität #Erkenntnistheorie #KIUndBewusstsein #PredictiveProcessing #Enaktivismus #Wissenschaftstheorie
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🧠 #Consciousness in the Context of #Naturalism 🔬 – Explainable or Fundamentally Limited?
In this #Zoomposium, we discuss key challenges in modern #philosophyofmind with #TobiasSchlicht—at the intersection of #neuroscience, #cognitive science, and #analyticalphilosophy.
📎https://philosophies.de/index.php/2026/04/03/bewusstsein-naturalismus/
#Neurophilosophy #Intentionality #Epistemology #AIAndConsciousness #PredictiveProcessing #Enactivism #PhilosophyOfScience
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🧠 #Consciousness in the Context of #Naturalism 🔬 – Explainable or Fundamentally Limited?
In this #Zoomposium, we discuss key challenges in modern #philosophyofmind with #TobiasSchlicht—at the intersection of #neuroscience, #cognitive science, and #analyticalphilosophy.
📎https://philosophies.de/index.php/2026/04/03/bewusstsein-naturalismus/
#Neurophilosophy #Intentionality #Epistemology #AIAndConsciousness #PredictiveProcessing #Enactivism #PhilosophyOfScience
-
🧠 #Consciousness in the Context of #Naturalism 🔬 – Explainable or Fundamentally Limited?
In this #Zoomposium, we discuss key challenges in modern #philosophyofmind with #TobiasSchlicht—at the intersection of #neuroscience, #cognitive science, and #analyticalphilosophy.
📎https://philosophies.de/index.php/2026/04/03/bewusstsein-naturalismus/
#Neurophilosophy #Intentionality #Epistemology #AIAndConsciousness #PredictiveProcessing #Enactivism #PhilosophyOfScience
-
🧠 #Consciousness in the Context of #Naturalism 🔬 – Explainable or Fundamentally Limited?
In this #Zoomposium, we discuss key challenges in modern #philosophyofmind with #TobiasSchlicht—at the intersection of #neuroscience, #cognitive science, and #analyticalphilosophy.
📎https://philosophies.de/index.php/2026/04/03/bewusstsein-naturalismus/
#Neurophilosophy #Intentionality #Epistemology #AIAndConsciousness #PredictiveProcessing #Enactivism #PhilosophyOfScience
-
🧠 #Consciousness in the Context of #Naturalism 🔬 – Explainable or Fundamentally Limited?
In this #Zoomposium, we discuss key challenges in modern #philosophyofmind with #TobiasSchlicht—at the intersection of #neuroscience, #cognitive science, and #analyticalphilosophy.
📎https://philosophies.de/index.php/2026/04/03/bewusstsein-naturalismus/
#Neurophilosophy #Intentionality #Epistemology #AIAndConsciousness #PredictiveProcessing #Enactivism #PhilosophyOfScience
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The Dancing Brain: Exploring Enactive & Eco-Social Psychiatry for a Holistic Mind-Environment Connection
#EnactivePsychiatry #EcoSocialMind #ActiveInference #Neuroscience #MentalHealth #HolisticHealing #SensoryIntegration #PredictiveProcessing #DigitalPsychiatry #CulturalContext #EnvironmentalPsychology #BioSocioCultural #MentalWellness #SelfCreatingSystems #InnovativeTherapies
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The Dancing Brain: Exploring Enactive & Eco-Social Psychiatry for a Holistic Mind-Environment Connection
#EnactivePsychiatry #EcoSocialMind #ActiveInference #Neuroscience #MentalHealth #HolisticHealing #SensoryIntegration #PredictiveProcessing #DigitalPsychiatry #CulturalContext #EnvironmentalPsychology #BioSocioCultural #MentalWellness #SelfCreatingSystems #InnovativeTherapies
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The Dancing Brain: Exploring Enactive & Eco-Social Psychiatry for a Holistic Mind-Environment Connection
#EnactivePsychiatry #EcoSocialMind #ActiveInference #Neuroscience #MentalHealth #HolisticHealing #SensoryIntegration #PredictiveProcessing #DigitalPsychiatry #CulturalContext #EnvironmentalPsychology #BioSocioCultural #MentalWellness #SelfCreatingSystems #InnovativeTherapies
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The Dancing Brain: Exploring Enactive & Eco-Social Psychiatry for a Holistic Mind-Environment Connection
#EnactivePsychiatry #EcoSocialMind #ActiveInference #Neuroscience #MentalHealth #HolisticHealing #SensoryIntegration #PredictiveProcessing #DigitalPsychiatry #CulturalContext #EnvironmentalPsychology #BioSocioCultural #MentalWellness #SelfCreatingSystems #InnovativeTherapies
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The Dancing Brain: Exploring Enactive & Eco-Social Psychiatry for a Holistic Mind-Environment Connection
#EnactivePsychiatry #EcoSocialMind #ActiveInference #Neuroscience #MentalHealth #HolisticHealing #SensoryIntegration #PredictiveProcessing #DigitalPsychiatry #CulturalContext #EnvironmentalPsychology #BioSocioCultural #MentalWellness #SelfCreatingSystems #InnovativeTherapies
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#TheMetalDogArticleList
#NeuroscienceNews
Music Evokes Distinct Bodily Sensations - Neuroscience News
A new study reveals how music evokes distinct bodily sensations, particularly in the heart and abdomen, linking these feelings to emotional responses and aesthetic appreciation.https://neurosciencenews.com/music-body-sensation-25858/
#musicbodysensations
#heartabdomensensations
#musicaluncertainty
#predictiveprocessing
#aestheticappreciation
#musicaltherapy
#interoceptivesense
#wellbeing
#mentalhealth
#chordprogressions -
#TheMetalDogArticleList
#NeuroscienceNews
Music Evokes Distinct Bodily Sensations - Neuroscience News
A new study reveals how music evokes distinct bodily sensations, particularly in the heart and abdomen, linking these feelings to emotional responses and aesthetic appreciation.https://neurosciencenews.com/music-body-sensation-25858/
#musicbodysensations
#heartabdomensensations
#musicaluncertainty
#predictiveprocessing
#aestheticappreciation
#musicaltherapy
#interoceptivesense
#wellbeing
#mentalhealth
#chordprogressions -
#TheMetalDogArticleList
#NeuroscienceNews
Music Evokes Distinct Bodily Sensations - Neuroscience News
A new study reveals how music evokes distinct bodily sensations, particularly in the heart and abdomen, linking these feelings to emotional responses and aesthetic appreciation.https://neurosciencenews.com/music-body-sensation-25858/
#musicbodysensations
#heartabdomensensations
#musicaluncertainty
#predictiveprocessing
#aestheticappreciation
#musicaltherapy
#interoceptivesense
#wellbeing
#mentalhealth
#chordprogressions -
#TheMetalDogArticleList
#NeuroscienceNews
Music Evokes Distinct Bodily Sensations - Neuroscience News
A new study reveals how music evokes distinct bodily sensations, particularly in the heart and abdomen, linking these feelings to emotional responses and aesthetic appreciation.https://neurosciencenews.com/music-body-sensation-25858/
#musicbodysensations
#heartabdomensensations
#musicaluncertainty
#predictiveprocessing
#aestheticappreciation
#musicaltherapy
#interoceptivesense
#wellbeing
#mentalhealth
#chordprogressions -
#TheMetalDogArticleList
#NeuroscienceNews
Music Evokes Distinct Bodily Sensations - Neuroscience News
A new study reveals how music evokes distinct bodily sensations, particularly in the heart and abdomen, linking these feelings to emotional responses and aesthetic appreciation.https://neurosciencenews.com/music-body-sensation-25858/
#musicbodysensations
#heartabdomensensations
#musicaluncertainty
#predictiveprocessing
#aestheticappreciation
#musicaltherapy
#interoceptivesense
#wellbeing
#mentalhealth
#chordprogressions -
Обожаю, как #KyleHill задвигает всякое
#YouTube #science #PredictiveProcessing
https://www.youtube.com/watch?v=INpWNP5HPNQ -
Обожаю, как #KyleHill задвигает всякое
#YouTube #science #PredictiveProcessing
https://www.youtube.com/watch?v=INpWNP5HPNQ -
“If so-called visual, tactile, or auditory sensory cortex is actually operating using a cascade of feedback from higher levels to actively predict the unfolding sensory signals… then we should not be surprised to find extensive multimodal and cross-modal effects… even on ‘early’ sensory response.” (Clark 2011) #perception #multisensory #CrossModalEffects #PredictiveProcessing
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“If so-called visual, tactile, or auditory sensory cortex is actually operating using a cascade of feedback from higher levels to actively predict the unfolding sensory signals… then we should not be surprised to find extensive multimodal and cross-modal effects… even on ‘early’ sensory response.” (Clark 2011) #perception #multisensory #CrossModalEffects #PredictiveProcessing
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“If so-called visual, tactile, or auditory sensory cortex is actually operating using a cascade of feedback from higher levels to actively predict the unfolding sensory signals… then we should not be surprised to find extensive multimodal and cross-modal effects… even on ‘early’ sensory response.” (Clark 2011) #perception #multisensory #CrossModalEffects #PredictiveProcessing
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“If so-called visual, tactile, or auditory sensory cortex is actually operating using a cascade of feedback from higher levels to actively predict the unfolding sensory signals… then we should not be surprised to find extensive multimodal and cross-modal effects… even on ‘early’ sensory response.” (Clark 2011) #perception #multisensory #CrossModalEffects #PredictiveProcessing
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“If so-called visual, tactile, or auditory sensory cortex is actually operating using a cascade of feedback from higher levels to actively predict the unfolding sensory signals… then we should not be surprised to find extensive multimodal and cross-modal effects… even on ‘early’ sensory response.” (Clark 2011) #perception #multisensory #CrossModalEffects #PredictiveProcessing
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“To predict the next word in a sentence, it helps to know stuff about grammar (and lots more, too). But one way to learn a surprising amount about grammar is just to look for the best ways to predict the next words in sentences. So you can use the prediction task to bootstrap your way to the grammar, which you then use in the prediction task in the future.” —Andy Clark (2011) #PredictiveProcessing #GenerativeAI #LLMs
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“To predict the next word in a sentence, it helps to know stuff about grammar (and lots more, too). But one way to learn a surprising amount about grammar is just to look for the best ways to predict the next words in sentences. So you can use the prediction task to bootstrap your way to the grammar, which you then use in the prediction task in the future.” —Andy Clark (2011) #PredictiveProcessing #GenerativeAI #LLMs
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“To predict the next word in a sentence, it helps to know stuff about grammar (and lots more, too). But one way to learn a surprising amount about grammar is just to look for the best ways to predict the next words in sentences. So you can use the prediction task to bootstrap your way to the grammar, which you then use in the prediction task in the future.” —Andy Clark (2011) #PredictiveProcessing #GenerativeAI #LLMs
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“To predict the next word in a sentence, it helps to know stuff about grammar (and lots more, too). But one way to learn a surprising amount about grammar is just to look for the best ways to predict the next words in sentences. So you can use the prediction task to bootstrap your way to the grammar, which you then use in the prediction task in the future.” —Andy Clark (2011) #PredictiveProcessing #GenerativeAI #LLMs
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“To predict the next word in a sentence, it helps to know stuff about grammar (and lots more, too). But one way to learn a surprising amount about grammar is just to look for the best ways to predict the next words in sentences. So you can use the prediction task to bootstrap your way to the grammar, which you then use in the prediction task in the future.” —Andy Clark (2011) #PredictiveProcessing #GenerativeAI #LLMs
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It's #ReadingMonday, and today I found an interesting paper on #predictiveprocessing models of the #brain
- "Scientists Invent New Hypotheses, Do Brains?"
- by Nir Fresco and Lotem Elber-Dorozko - https://onlinelibrary.wiley.com/doi/10.1111/cogs.13400
The paper reveals some of the processes in a modeler's mind that guide how we build models, and in particular predictive processing (PP) models.
The Bayes theorem is one thing, but the most interesting part when comparing PP models is how new hypotheses are challenged as they enter the generative model. In other words, what matters is how well the priors you include in your model fit the experiments.
To simplify, they identify two classes of priors, basically bottom-up and top-down, each with its pros and cons: "Cognitive-level models do not specify how they can be implemented in the brain and how the learning domains in these models can be learned. In contrast, neurobiological architecture-inspired models, although using neuronal-like architecture with learning starting from random weights, cannot account for important aspects of human cognition".
One underlying "meta-prior" is the existence of a hierarchy, which implies that there is both a feed-forward and a feed-back pathway, and that where they meet there are respectively "bottom-up or forward prediction errors" and "top-down or backward predictions". They conclude by suggesting that incorporating priors of both types may be a way to move the field forward.
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It's #ReadingMonday, and today I found an interesting paper on #predictiveprocessing models of the #brain
- "Scientists Invent New Hypotheses, Do Brains?"
- by Nir Fresco and Lotem Elber-Dorozko - https://onlinelibrary.wiley.com/doi/10.1111/cogs.13400
The paper reveals some of the processes in a modeler's mind that guide how we build models, and in particular predictive processing (PP) models.
The Bayes theorem is one thing, but the most interesting part when comparing PP models is how new hypotheses are challenged as they enter the generative model. In other words, what matters is how well the priors you include in your model fit the experiments.
To simplify, they identify two classes of priors, basically bottom-up and top-down, each with its pros and cons: "Cognitive-level models do not specify how they can be implemented in the brain and how the learning domains in these models can be learned. In contrast, neurobiological architecture-inspired models, although using neuronal-like architecture with learning starting from random weights, cannot account for important aspects of human cognition".
One underlying "meta-prior" is the existence of a hierarchy, which implies that there is both a feed-forward and a feed-back pathway, and that where they meet there are respectively "bottom-up or forward prediction errors" and "top-down or backward predictions". They conclude by suggesting that incorporating priors of both types may be a way to move the field forward.
-
It's #ReadingMonday, and today I found an interesting paper on #predictiveprocessing models of the #brain
- "Scientists Invent New Hypotheses, Do Brains?"
- by Nir Fresco and Lotem Elber-Dorozko - https://onlinelibrary.wiley.com/doi/10.1111/cogs.13400
The paper reveals some of the processes in a modeler's mind that guide how we build models, and in particular predictive processing (PP) models.
The Bayes theorem is one thing, but the most interesting part when comparing PP models is how new hypotheses are challenged as they enter the generative model. In other words, what matters is how well the priors you include in your model fit the experiments.
To simplify, they identify two classes of priors, basically bottom-up and top-down, each with its pros and cons: "Cognitive-level models do not specify how they can be implemented in the brain and how the learning domains in these models can be learned. In contrast, neurobiological architecture-inspired models, although using neuronal-like architecture with learning starting from random weights, cannot account for important aspects of human cognition".
One underlying "meta-prior" is the existence of a hierarchy, which implies that there is both a feed-forward and a feed-back pathway, and that where they meet there are respectively "bottom-up or forward prediction errors" and "top-down or backward predictions". They conclude by suggesting that incorporating priors of both types may be a way to move the field forward.
-
It's #ReadingMonday, and today I found an interesting paper on #predictiveprocessing models of the #brain
- "Scientists Invent New Hypotheses, Do Brains?"
- by Nir Fresco and Lotem Elber-Dorozko - https://onlinelibrary.wiley.com/doi/10.1111/cogs.13400
The paper reveals some of the processes in a modeler's mind that guide how we build models, and in particular predictive processing (PP) models.
The Bayes theorem is one thing, but the most interesting part when comparing PP models is how new hypotheses are challenged as they enter the generative model. In other words, what matters is how well the priors you include in your model fit the experiments.
To simplify, they identify two classes of priors, basically bottom-up and top-down, each with its pros and cons: "Cognitive-level models do not specify how they can be implemented in the brain and how the learning domains in these models can be learned. In contrast, neurobiological architecture-inspired models, although using neuronal-like architecture with learning starting from random weights, cannot account for important aspects of human cognition".
One underlying "meta-prior" is the existence of a hierarchy, which implies that there is both a feed-forward and a feed-back pathway, and that where they meet there are respectively "bottom-up or forward prediction errors" and "top-down or backward predictions". They conclude by suggesting that incorporating priors of both types may be a way to move the field forward.
-
It's #ReadingMonday, and today I found an interesting paper on #predictiveprocessing models of the #brain
- "Scientists Invent New Hypotheses, Do Brains?"
- by Nir Fresco and Lotem Elber-Dorozko - https://onlinelibrary.wiley.com/doi/10.1111/cogs.13400
The paper reveals some of the processes in a modeler's mind that guide how we build models, and in particular predictive processing (PP) models.
The Bayes theorem is one thing, but the most interesting part when comparing PP models is how new hypotheses are challenged as they enter the generative model. In other words, what matters is how well the priors you include in your model fit the experiments.
To simplify, they identify two classes of priors, basically bottom-up and top-down, each with its pros and cons: "Cognitive-level models do not specify how they can be implemented in the brain and how the learning domains in these models can be learned. In contrast, neurobiological architecture-inspired models, although using neuronal-like architecture with learning starting from random weights, cannot account for important aspects of human cognition".
One underlying "meta-prior" is the existence of a hierarchy, which implies that there is both a feed-forward and a feed-back pathway, and that where they meet there are respectively "bottom-up or forward prediction errors" and "top-down or backward predictions". They conclude by suggesting that incorporating priors of both types may be a way to move the field forward.
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Nothing is real. Your every thought and action is affected by expectations brewed up in the nonconscious mind, the theory of #PredictiveProcessing contends. It aims to explain everything from a good golf swing to perceptions of chronic pain, even #consciousness itself. It has emerged from research in #philosophy, #psychiatry and #neuroscience. The big question: Can we exert control over the nonconscious brain and alter how we perceive everything and how we act and react? https://medium.com/wise-well/your-reality-is-never-what-you-think-5877efcd821d
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Nothing is real. Your every thought and action is affected by expectations brewed up in the nonconscious mind, the theory of #PredictiveProcessing contends. It aims to explain everything from a good golf swing to perceptions of chronic pain, even #consciousness itself. It has emerged from research in #philosophy, #psychiatry and #neuroscience. The big question: Can we exert control over the nonconscious brain and alter how we perceive everything and how we act and react? https://medium.com/wise-well/your-reality-is-never-what-you-think-5877efcd821d
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Nothing is real. Your every thought and action is affected by expectations brewed up in the nonconscious mind, the theory of #PredictiveProcessing contends. It aims to explain everything from a good golf swing to perceptions of chronic pain, even #consciousness itself. It has emerged from research in #philosophy, #psychiatry and #neuroscience. The big question: Can we exert control over the nonconscious brain and alter how we perceive everything and how we act and react? https://medium.com/wise-well/your-reality-is-never-what-you-think-5877efcd821d
-
Nothing is real. Your every thought and action is affected by expectations brewed up in the nonconscious mind, the theory of #PredictiveProcessing contends. It aims to explain everything from a good golf swing to perceptions of chronic pain, even #consciousness itself. It has emerged from research in #philosophy, #psychiatry and #neuroscience. The big question: Can we exert control over the nonconscious brain and alter how we perceive everything and how we act and react? https://medium.com/wise-well/your-reality-is-never-what-you-think-5877efcd821d
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Nothing is real. Your every thought and action is affected by expectations brewed up in the nonconscious mind, the theory of #PredictiveProcessing contends. It aims to explain everything from a good golf swing to perceptions of chronic pain, even #consciousness itself. It has emerged from research in #philosophy, #psychiatry and #neuroscience. The big question: Can we exert control over the nonconscious brain and alter how we perceive everything and how we act and react? https://medium.com/wise-well/your-reality-is-never-what-you-think-5877efcd821d
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“The Dress was a really interesting case. Suddenly people realized there’s a lot of hidden variety in perceptual experience.… I think #PredictiveProcessing is going to ultimately give us something like a periodic table of experiential variation: all the neurotypical and the atypical cases and everything that lies in between, and all the variety within typical and atypical.”—from my #NautilusMagazine interview with #AndyClark https://nautil.us/reality-is-your-brains-best-guess-312269/
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“The Dress was a really interesting case. Suddenly people realized there’s a lot of hidden variety in perceptual experience.… I think #PredictiveProcessing is going to ultimately give us something like a periodic table of experiential variation: all the neurotypical and the atypical cases and everything that lies in between, and all the variety within typical and atypical.”—from my #NautilusMagazine interview with #AndyClark https://nautil.us/reality-is-your-brains-best-guess-312269/
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“The Dress was a really interesting case. Suddenly people realized there’s a lot of hidden variety in perceptual experience.… I think #PredictiveProcessing is going to ultimately give us something like a periodic table of experiential variation: all the neurotypical and the atypical cases and everything that lies in between, and all the variety within typical and atypical.”—from my #NautilusMagazine interview with #AndyClark https://nautil.us/reality-is-your-brains-best-guess-312269/
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“The Dress was a really interesting case. Suddenly people realized there’s a lot of hidden variety in perceptual experience.… I think #PredictiveProcessing is going to ultimately give us something like a periodic table of experiential variation: all the neurotypical and the atypical cases and everything that lies in between, and all the variety within typical and atypical.”—from my #NautilusMagazine interview with #AndyClark https://nautil.us/reality-is-your-brains-best-guess-312269/
