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#neuron — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #neuron, aggregated by home.social.

  1. Ez lett a végeredmény.

    Nem jó, de nem is tragikus.
    Az biztos, hogy a legutóbbi Claude által készítettnél informatívabb, edukatívabb, viszont vizuálisan eléggé katasztrófa és sok gombja nem is teljesen működik.

    Viszont, sokkal jobban tanul, nem fagy ki, de amennyire nyomorodott, nem látni nagyon semmit belőle.

    De, ez azzal az alap prompttal készül, amelyiket mindegyik modell megkap a teszt során. Ahhoz képest viszont jó!

    Most akkor kicsit finomítok rajta, mert lehet ebből tényleg lehet személetes oktató anyag a végén. (Mindegyiknél ezt mondom, aztán néhány kör után megy a kukába mégis.)

    #AI #ChatGPT #OpenAI #Claude #Anthropic #GPT #Opus #magyar #hungarian #neuron #neuron #háló #neuronháló #neural #neuralnetwork #network #magyar #hungarian

  2. Kívácsi vagyok!

    De eddig ez a GPT-5.5 valami nagyon... huhh...!

    Előre blikkre nálam tényleg jobban teljesít, mint a Claude Opus-4.7!

    Most kipróbáltatom vele a "szokásos" edukatív neuronhálós promptomat. Igazából, nálam ez az egyik összehasonlítási alapom.

    Várom mi lesz belőle! Dolgozik vele rendesen, már több, mint tíz perce.

    #AI #ChatGPT #OpenAI #Claude #Anthropic #GPT #Opus #magyar #hungarian #neuron #neuron #háló #neuronháló #neural #neuralnetwork #network #magyar #hungarian

  3. Molecular switch in neurons found to limit the regrowth of damaged axonal fibers

    Researchers from the Icahn School of Medicine at Mount Sinai have discovered a molecular switch in neurons that…
    #NewsBeep #News #Science #AU #Australia #Drugs #Healthcare #Hospital #medicine #Nerve #nervoussystem #Neuron #Neurons #protein #Receptor #research #SpinalCordInjury #stress #Transcription
    newsbeep.com/au/579265/

  4. Molecular switch in neurons found to limit the regrowth of damaged axonal fibers

    Researchers from the Icahn School of Medicine at Mount Sinai have discovered a molecular switch in neurons that…
    #NewsBeep #News #Science #AU #Australia #Drugs #Healthcare #Hospital #medicine #Nerve #nervoussystem #Neuron #Neurons #protein #Receptor #research #SpinalCordInjury #stress #Transcription
    newsbeep.com/au/579265/

  5. `Here, we demonstrate artificial neurons that not only closely emulate biological neurons in functions but also match their parameters in key aspects such as signal amplitude, spiking energy, temporal features, and frequency response. Moreover, these artificial neurons can be modulated by extracellular chemical species in a manner consistent with neuromodulation in biological neurons.`

    dx.doi.org/10.1038/s41467-025-

    #bioengineering #neuroscience #neuron #bacteria #geobacter

  6. RAG на PHP + Qdrant: быстрый MVP для внутренней базы знаний

    RAG на PHP - звучит непривычно. Делюсь опытом построения чат-бота для поиска по внутренней базе документов: Symfony, Qdrant с гибридным поиском, YandexGPT для embedding и генерации ответов. Внутри — готовый код, подводные камни чанкинга и советы, которые сэкономят вам время.

    habr.com/ru/articles/1001156/

    #rag #retrieval_augmented_generation #llm #qdrant #yandexgpt #php #rag_pipeline #neuron

  7. Overactive protein cleanup disrupts nuclear pores in neurodegenerative disease

    When it comes to neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS) and certain forms of dementia, researchers…
    #Nuclear #amyotrophiclateralsclerosis #Cell #Cytoplasm #Dementia #medicine #Neurodegeneration #NeurodegenerativeDisease #NeurodegenerativeDiseases #Neuron #nuclear #Protein #qualitycontrol #research #RNA #Sclerosis #TDP-43
    europesays.com/2736330/

  8. "These results have broad implications for biological processes regulated by membrane potential, particularly in contexts such as neuronal signaling, where condensate interactions with membranes may play a previously unrecognized regulatory role."

    #neuron #condensates #cellMembrane #membranePotential

  9. `We report that plasma concentrations of ubiquitin C-terminal hydrolase-L1 (UCH-L1) and neurofilament light (NfL) become exponentially higher from ages 2 to 85 in cross-sectional samples, serving as neuronal death/damage biomarkers across the lifespan.`

    cell.com/cell-reports-medicine

    #biomarker #lifespan #aging #biology #ubiquitin #apoptosis #neuron #neuronal #neuroscience #neurodegeneration #disease #brain

  10. `We report that plasma concentrations of ubiquitin C-terminal hydrolase-L1 (UCH-L1) and neurofilament light (NfL) become exponentially higher from ages 2 to 85 in cross-sectional samples, serving as neuronal death/damage biomarkers across the lifespan.`

    cell.com/cell-reports-medicine

    #biomarker #lifespan #aging #biology #ubiquitin #apoptosis #neuron #neuronal #neuroscience #neurodegeneration #disease #brain

  11. `We report that plasma concentrations of ubiquitin C-terminal hydrolase-L1 (UCH-L1) and neurofilament light (NfL) become exponentially higher from ages 2 to 85 in cross-sectional samples, serving as neuronal death/damage biomarkers across the lifespan.`

    cell.com/cell-reports-medicine

    #biomarker #lifespan #aging #biology #ubiquitin #apoptosis #neuron #neuronal #neuroscience #neurodegeneration #disease #brain

  12. `We report that plasma concentrations of ubiquitin C-terminal hydrolase-L1 (UCH-L1) and neurofilament light (NfL) become exponentially higher from ages 2 to 85 in cross-sectional samples, serving as neuronal death/damage biomarkers across the lifespan.`

    cell.com/cell-reports-medicine

    #biomarker #lifespan #aging #biology #ubiquitin #apoptosis #neuron #neuronal #neuroscience #neurodegeneration #disease #brain

  13. `We report that plasma concentrations of ubiquitin C-terminal hydrolase-L1 (UCH-L1) and neurofilament light (NfL) become exponentially higher from ages 2 to 85 in cross-sectional samples, serving as neuronal death/damage biomarkers across the lifespan.`

    cell.com/cell-reports-medicine

    #biomarker #lifespan #aging #biology #ubiquitin #apoptosis #neuron #neuronal #neuroscience #neurodegeneration #disease #brain

  14. 🧠 New preprint by Tilbury et al: Characterizing #NeuronalPopulation geometry with #AI equation discovery

    The approach generates & evaluates 100s of candidate equations, finding "peaky" non-Gaussian tuning functions whose Fourier structure matches power-law dimensionality observed in real #V1 pops. Links shape of single-#neuron tuning to #PopulationLevel geometry using both data fits & analytical derivations.

    🌍 doi.org/10.1101/2025.11.12.688

    #CompNeuro #Neuroscience #NeuralCoding #PopulationDynamics

  15. Собираем простейшую RAG-систему на PHP с фреймворком Neuron AI за вечер

    RAG (Retrieval-Augmented Generation или генерация, дополненная поиском) - это метод искусственного интеллекта, сочетающий генеративную большую языковую модель (LLM) с внешней базой знаний для создания более точных, контекстно-зависимых и актуальных ответов. Принцип его работы заключается в том, что сначала извлекается релевантная информация из набора документов или источников данных, а затем эта информация передается в LLM для формирования окончательного ответа. Этот процесс позволяет модели выдавать более точные ответы, менее подверженные “галлюцинациям”, и ее можно обновлять без дорогостоящего переобучения. Сегодня мы разберёмся, как собрать базовую RAG-систему на PHP (да, да, не надо удивляться) с помощью фреймворка Neuron AI . Это будет наш маленький proof-of-concept - минимально работающий, но вполне реальный пример. Ну что, начнём генерацию?

    habr.com/ru/articles/966792/

    #rag #rag_ai #php #llm #llmагент #rag_api #vectorization #embeddings #neuron

  16. 🧠 New paper by Deistler et al: #JAXLEY: differentiable #simulation for large-scale training of detailed #biophysical #models of #NeuralDynamics.

    They present a #differentiable #GPU accelerated #simulator that trains #morphologically detailed biophysical #neuron models with #GradientDescent. JAXLEY fits intracellular #voltage and #calcium data, scales to 1000s of compartments, trains biophys. #RNNs on #WorkingMemory tasks & even solves #MNIST.

    🌍 doi.org/10.1038/s41592-025-028

    #Neuroscience #CompNeuro

  17. 🧠 New paper by Deistler et al: #JAXLEY: differentiable #simulation for large-scale training of detailed #biophysical #models of #NeuralDynamics.

    They present a #differentiable #GPU accelerated #simulator that trains #morphologically detailed biophysical #neuron models with #GradientDescent. JAXLEY fits intracellular #voltage and #calcium data, scales to 1000s of compartments, trains biophys. #RNNs on #WorkingMemory tasks & even solves #MNIST.

    🌍 doi.org/10.1038/s41592-025-028

    #Neuroscience #CompNeuro

  18. 🧠 New paper by Deistler et al: #JAXLEY: differentiable #simulation for large-scale training of detailed #biophysical #models of #NeuralDynamics.

    They present a #differentiable #GPU accelerated #simulator that trains #morphologically detailed biophysical #neuron models with #GradientDescent. JAXLEY fits intracellular #voltage and #calcium data, scales to 1000s of compartments, trains biophys. #RNNs on #WorkingMemory tasks & even solves #MNIST.

    🌍 doi.org/10.1038/s41592-025-028

    #Neuroscience #CompNeuro

  19. 🧠 New paper by Deistler et al: #JAXLEY: differentiable #simulation for large-scale training of detailed #biophysical #models of #NeuralDynamics.

    They present a #differentiable #GPU accelerated #simulator that trains #morphologically detailed biophysical #neuron models with #GradientDescent. JAXLEY fits intracellular #voltage and #calcium data, scales to 1000s of compartments, trains biophys. #RNNs on #WorkingMemory tasks & even solves #MNIST.

    🌍 doi.org/10.1038/s41592-025-028

    #Neuroscience #CompNeuro

  20. 🧠 New paper by Deistler et al: #JAXLEY: differentiable #simulation for large-scale training of detailed #biophysical #models of #NeuralDynamics.

    They present a #differentiable #GPU accelerated #simulator that trains #morphologically detailed biophysical #neuron models with #GradientDescent. JAXLEY fits intracellular #voltage and #calcium data, scales to 1000s of compartments, trains biophys. #RNNs on #WorkingMemory tasks & even solves #MNIST.

    🌍 doi.org/10.1038/s41592-025-028

    #Neuroscience #CompNeuro

  21. EBIKES AND SCOOTERS CONTINUE SEEING SUCCESS IN WR

    In the spring of 2023, Neuron Mobility launched a transportation program utilizing orange e-scooters and e-bikes in the Waterloo Region. Residents were given access to these shared modes of environmentally friendly electric vehicles. The program has found success within the region—it offers a quick alternative to driving cars around Kitchener, Waterloo and Cambridge.   

    Statistics from the spring, summer and fall of 2023 demonstrate positive results, including a total of 46,000 riders; 190,000 trips; 360,000 kilometers ridden; $8.2 million poured into the Waterloo Region economy and 12 tonnes of carbon dioxide emissions saved, which is the equivalent of 192 mature trees.   

    The Waterloo Region is in the process of building a sustainable transportation network. These e-scooters and e-bikes are an affordable transportation option that makes sense for all types of inner-city travel, leisure rides and short trips transporting a person from their home to their workplace or school. Riders can use e-scooters or e-bikes to get from their homes to an ION or bus stop. Travelers can access an e-bike or e-scooter at a particular point in the region and then ride it and drop it off at a completely different part of town.   

    Colleen James, regional councillor for the City of Kitchener, said the idea of introducing Neuron e-scooters and e-bikes into the region made sense for many reasons, including the reduction of community-wide greenhouse gas emissions by 2030. This reduction is a climate goal set by the Region of Waterloo. Using low-carbon transportation is a strategy to reach this goal by 2030.   

    “The benefit to this program is that it was not going to cost us anything, so there is no cost to taxpayers. This is literally a partnership (between the Region and Neuron Mobility) to promote more active transportation,” James said.   

    James went on to say that this program allows for more options for travel within our region.   

    “The Region of Waterloo is Canada’s only multi-jurisdiction shared micromobility program…The success of the program can be attributed to a number of factors including the fantastic work of our municipal partners and the enthusiasm for the service from our riders across the Region,” Isaac Ransom, head of corporate affairs for Neuron Mobility, Canada said.   

    Neuron Mobility also has e-scooters and e-bikes in 17 cities across Canada, including Ottawa, Brampton, Vaughan, Calgary, Edmonton, Red Deer, Saskatoon and Regina. Since the launch of these programs in 2021, riders of Neuron e-scooters and e-bikes have travelled over nine million kilometres.   

    To rent and ride an e-scooter or an e-bike, simply download the Neuron Mobility app and follow the instructions. A person must be at least 16 years old to rent the equipment.   

    The cost is approximately $2,000 per year for active use. From an environmental point of view, this is a reasonable cost compared to the cost of running a car for a year.    

    James, with many others, sees a bright future with the continuous utilization of e-bikes and e-scooters within the Waterloo Region. 

    #brampton #calgary #Cambridge #CityOfKitchener #CO2 #ColleenJames #EBikes #eScooters #edmonton #environmental #environmentallyFriendlyVehicles #escooters #EV #friendlyVehicles #kitchener #LizGaiger #Neuron #neuronMobility #Ottawa #redDeer #Regina #Region #SangjunHan #saskatoon #vaughan

  22. EBIKES AND SCOOTERS CONTINUE SEEING SUCCESS IN WR

    In the spring of 2023, Neuron Mobility launched a transportation program utilizing orange e-scooters and e-bikes in the Waterloo Region. Residents were given access to these shared modes of environmentally friendly electric vehicles. The program has found success within the region—it offers a quick alternative to driving cars around Kitchener, Waterloo and Cambridge.   

    Statistics from the spring, summer and fall of 2023 demonstrate positive results, including a total of 46,000 riders; 190,000 trips; 360,000 kilometers ridden; $8.2 million poured into the Waterloo Region economy and 12 tonnes of carbon dioxide emissions saved, which is the equivalent of 192 mature trees.   

    The Waterloo Region is in the process of building a sustainable transportation network. These e-scooters and e-bikes are an affordable transportation option that makes sense for all types of inner-city travel, leisure rides and short trips transporting a person from their home to their workplace or school. Riders can use e-scooters or e-bikes to get from their homes to an ION or bus stop. Travelers can access an e-bike or e-scooter at a particular point in the region and then ride it and drop it off at a completely different part of town.   

    Colleen James, regional councillor for the City of Kitchener, said the idea of introducing Neuron e-scooters and e-bikes into the region made sense for many reasons, including the reduction of community-wide greenhouse gas emissions by 2030. This reduction is a climate goal set by the Region of Waterloo. Using low-carbon transportation is a strategy to reach this goal by 2030.   

    “The benefit to this program is that it was not going to cost us anything, so there is no cost to taxpayers. This is literally a partnership (between the Region and Neuron Mobility) to promote more active transportation,” James said.   

    James went on to say that this program allows for more options for travel within our region.   

    “The Region of Waterloo is Canada’s only multi-jurisdiction shared micromobility program…The success of the program can be attributed to a number of factors including the fantastic work of our municipal partners and the enthusiasm for the service from our riders across the Region,” Isaac Ransom, head of corporate affairs for Neuron Mobility, Canada said.   

    Neuron Mobility also has e-scooters and e-bikes in 17 cities across Canada, including Ottawa, Brampton, Vaughan, Calgary, Edmonton, Red Deer, Saskatoon and Regina. Since the launch of these programs in 2021, riders of Neuron e-scooters and e-bikes have travelled over nine million kilometres.   

    To rent and ride an e-scooter or an e-bike, simply download the Neuron Mobility app and follow the instructions. A person must be at least 16 years old to rent the equipment.   

    The cost is approximately $2,000 per year for active use. From an environmental point of view, this is a reasonable cost compared to the cost of running a car for a year.    

    James, with many others, sees a bright future with the continuous utilization of e-bikes and e-scooters within the Waterloo Region. 

    #brampton #calgary #Cambridge #CityOfKitchener #CO2 #ColleenJames #EBikes #eScooters #edmonton #environmental #environmentallyFriendlyVehicles #escooters #EV #friendlyVehicles #kitchener #LizGaiger #Neuron #neuronMobility #Ottawa #redDeer #Regina #Region #SangjunHan #saskatoon #vaughan

  23. EBIKES AND SCOOTERS CONTINUE SEEING SUCCESS IN WR

    In the spring of 2023, Neuron Mobility launched a transportation program utilizing orange e-scooters and e-bikes in the Waterloo Region. Residents were given access to these shared modes of environmentally friendly electric vehicles. The program has found success within the region—it offers a quick alternative to driving cars around Kitchener, Waterloo and Cambridge.   

    Statistics from the spring, summer and fall of 2023 demonstrate positive results, including a total of 46,000 riders; 190,000 trips; 360,000 kilometers ridden; $8.2 million poured into the Waterloo Region economy and 12 tonnes of carbon dioxide emissions saved, which is the equivalent of 192 mature trees.   

    The Waterloo Region is in the process of building a sustainable transportation network. These e-scooters and e-bikes are an affordable transportation option that makes sense for all types of inner-city travel, leisure rides and short trips transporting a person from their home to their workplace or school. Riders can use e-scooters or e-bikes to get from their homes to an ION or bus stop. Travelers can access an e-bike or e-scooter at a particular point in the region and then ride it and drop it off at a completely different part of town.   

    Colleen James, regional councillor for the City of Kitchener, said the idea of introducing Neuron e-scooters and e-bikes into the region made sense for many reasons, including the reduction of community-wide greenhouse gas emissions by 2030. This reduction is a climate goal set by the Region of Waterloo. Using low-carbon transportation is a strategy to reach this goal by 2030.   

    “The benefit to this program is that it was not going to cost us anything, so there is no cost to taxpayers. This is literally a partnership (between the Region and Neuron Mobility) to promote more active transportation,” James said.   

    James went on to say that this program allows for more options for travel within our region.   

    “The Region of Waterloo is Canada’s only multi-jurisdiction shared micromobility program…The success of the program can be attributed to a number of factors including the fantastic work of our municipal partners and the enthusiasm for the service from our riders across the Region,” Isaac Ransom, head of corporate affairs for Neuron Mobility, Canada said.   

    Neuron Mobility also has e-scooters and e-bikes in 17 cities across Canada, including Ottawa, Brampton, Vaughan, Calgary, Edmonton, Red Deer, Saskatoon and Regina. Since the launch of these programs in 2021, riders of Neuron e-scooters and e-bikes have travelled over nine million kilometres.   

    To rent and ride an e-scooter or an e-bike, simply download the Neuron Mobility app and follow the instructions. A person must be at least 16 years old to rent the equipment.   

    The cost is approximately $2,000 per year for active use. From an environmental point of view, this is a reasonable cost compared to the cost of running a car for a year.    

    James, with many others, sees a bright future with the continuous utilization of e-bikes and e-scooters within the Waterloo Region. 

    #brampton #calgary #Cambridge #CityOfKitchener #CO2 #ColleenJames #EBikes #eScooters #edmonton #environmental #environmentallyFriendlyVehicles #escooters #EV #friendlyVehicles #kitchener #LizGaiger #Neuron #neuronMobility #Ottawa #redDeer #Regina #Region #SangjunHan #saskatoon #vaughan

  24. EBIKES AND SCOOTERS CONTINUE SEEING SUCCESS IN WR

    In the spring of 2023, Neuron Mobility launched a transportation program utilizing orange e-scooters and e-bikes in the Waterloo Region. Residents were given access to these shared modes of environmentally friendly electric vehicles. The program has found success within the region—it offers a quick alternative to driving cars around Kitchener, Waterloo and Cambridge.   

    Statistics from the spring, summer and fall of 2023 demonstrate positive results, including a total of 46,000 riders; 190,000 trips; 360,000 kilometers ridden; $8.2 million poured into the Waterloo Region economy and 12 tonnes of carbon dioxide emissions saved, which is the equivalent of 192 mature trees.   

    The Waterloo Region is in the process of building a sustainable transportation network. These e-scooters and e-bikes are an affordable transportation option that makes sense for all types of inner-city travel, leisure rides and short trips transporting a person from their home to their workplace or school. Riders can use e-scooters or e-bikes to get from their homes to an ION or bus stop. Travelers can access an e-bike or e-scooter at a particular point in the region and then ride it and drop it off at a completely different part of town.   

    Colleen James, regional councillor for the City of Kitchener, said the idea of introducing Neuron e-scooters and e-bikes into the region made sense for many reasons, including the reduction of community-wide greenhouse gas emissions by 2030. This reduction is a climate goal set by the Region of Waterloo. Using low-carbon transportation is a strategy to reach this goal by 2030.   

    “The benefit to this program is that it was not going to cost us anything, so there is no cost to taxpayers. This is literally a partnership (between the Region and Neuron Mobility) to promote more active transportation,” James said.   

    James went on to say that this program allows for more options for travel within our region.   

    “The Region of Waterloo is Canada’s only multi-jurisdiction shared micromobility program…The success of the program can be attributed to a number of factors including the fantastic work of our municipal partners and the enthusiasm for the service from our riders across the Region,” Isaac Ransom, head of corporate affairs for Neuron Mobility, Canada said.   

    Neuron Mobility also has e-scooters and e-bikes in 17 cities across Canada, including Ottawa, Brampton, Vaughan, Calgary, Edmonton, Red Deer, Saskatoon and Regina. Since the launch of these programs in 2021, riders of Neuron e-scooters and e-bikes have travelled over nine million kilometres.   

    To rent and ride an e-scooter or an e-bike, simply download the Neuron Mobility app and follow the instructions. A person must be at least 16 years old to rent the equipment.   

    The cost is approximately $2,000 per year for active use. From an environmental point of view, this is a reasonable cost compared to the cost of running a car for a year.    

    James, with many others, sees a bright future with the continuous utilization of e-bikes and e-scooters within the Waterloo Region. 

    #brampton #calgary #Cambridge #CityOfKitchener #CO2 #ColleenJames #EBikes #eScooters #edmonton #environmental #environmentallyFriendlyVehicles #escooters #EV #friendlyVehicles #kitchener #LizGaiger #Neuron #neuronMobility #Ottawa #redDeer #Regina #Region #SangjunHan #saskatoon #vaughan

  25. EBIKES AND SCOOTERS CONTINUE SEEING SUCCESS IN WR

    In the spring of 2023, Neuron Mobility launched a transportation program utilizing orange e-scooters and e-bikes in the Waterloo Region. Residents were given access to these shared modes of environmentally friendly electric vehicles. The program has found success within the region—it offers a quick alternative to driving cars around Kitchener, Waterloo and Cambridge.   

    Statistics from the spring, summer and fall of 2023 demonstrate positive results, including a total of 46,000 riders; 190,000 trips; 360,000 kilometers ridden; $8.2 million poured into the Waterloo Region economy and 12 tonnes of carbon dioxide emissions saved, which is the equivalent of 192 mature trees.   

    The Waterloo Region is in the process of building a sustainable transportation network. These e-scooters and e-bikes are an affordable transportation option that makes sense for all types of inner-city travel, leisure rides and short trips transporting a person from their home to their workplace or school. Riders can use e-scooters or e-bikes to get from their homes to an ION or bus stop. Travelers can access an e-bike or e-scooter at a particular point in the region and then ride it and drop it off at a completely different part of town.   

    Colleen James, regional councillor for the City of Kitchener, said the idea of introducing Neuron e-scooters and e-bikes into the region made sense for many reasons, including the reduction of community-wide greenhouse gas emissions by 2030. This reduction is a climate goal set by the Region of Waterloo. Using low-carbon transportation is a strategy to reach this goal by 2030.   

    “The benefit to this program is that it was not going to cost us anything, so there is no cost to taxpayers. This is literally a partnership (between the Region and Neuron Mobility) to promote more active transportation,” James said.   

    James went on to say that this program allows for more options for travel within our region.   

    “The Region of Waterloo is Canada’s only multi-jurisdiction shared micromobility program…The success of the program can be attributed to a number of factors including the fantastic work of our municipal partners and the enthusiasm for the service from our riders across the Region,” Isaac Ransom, head of corporate affairs for Neuron Mobility, Canada said.   

    Neuron Mobility also has e-scooters and e-bikes in 17 cities across Canada, including Ottawa, Brampton, Vaughan, Calgary, Edmonton, Red Deer, Saskatoon and Regina. Since the launch of these programs in 2021, riders of Neuron e-scooters and e-bikes have travelled over nine million kilometres.   

    To rent and ride an e-scooter or an e-bike, simply download the Neuron Mobility app and follow the instructions. A person must be at least 16 years old to rent the equipment.   

    The cost is approximately $2,000 per year for active use. From an environmental point of view, this is a reasonable cost compared to the cost of running a car for a year.    

    James, with many others, sees a bright future with the continuous utilization of e-bikes and e-scooters within the Waterloo Region. 

    #brampton #calgary #Cambridge #CityOfKitchener #CO2 #ColleenJames #EBikes #eScooters #edmonton #environmental #environmentallyFriendlyVehicles #escooters #EV #friendlyVehicles #kitchener #LizGaiger #Neuron #neuronMobility #Ottawa #redDeer #Regina #Region #SangjunHan #saskatoon #vaughan

  26. For decades, #synthetic #biologists have been developing #gene #circuits that can be transferred into #cells for applications such as reprogramming a stem cell into a #neuron or generating a protein that could help treat a #disease such as fragile X syndrome.
    #Biotechnology #sflorg
    sflorg.com/2025/10/btech101325

  27. New paper is out! It was great to collaborate in the modelling of progressive #multiplesclerosis using #iNSCs , where the inflammatory response is maintained. We found disease-activated radial glia in this model, which is also present in post-mortem patient #brain tissue.
    cell.com/neuron/fulltext/S0896

    #stemcells #neuron #science

  28. 🧠 New preprint by Chintaluri et al. (2025): An ion channel #omnimodel for standardized #biophysical #neuron #modelling. A unified #HodgkinHuxley formalism applied to >3,500 ion channel models from #ModelDB. Enables cross-model comparison, #clustering, and reproducible simulation through a shared parametrization:

    🌍 doi.org/10.1101/2025.10.03.680

    #CompNeuro #Neuroscience #Reproducibility

  29. 🧠 Pastorelli et al. (2025) present a "simplified two-compartment #neuron with #CalciumDynamics capturing #brain-state-specific apical-amplification, -isolation and -drive". This Ca-#AdEx model replicates distinct #dendritic mechanisms across wakefulness, #NREM & #REM sleep using a compact ThetaPlanes transfer function. Cool implementation using the #NESTsimulator 💻!

    🌍 doi.org/10.3389/fncom.2025.156

    #Neuroscience #CompNeuro

  30. 🧠 Pastorelli et al. (2025) present a "simplified two-compartment #neuron with #CalciumDynamics capturing #brain-state-specific apical-amplification, -isolation and -drive". This Ca-#AdEx model replicates distinct #dendritic mechanisms across wakefulness, #NREM & #REM sleep using a compact ThetaPlanes transfer function. Cool implementation using the #NESTsimulator 💻!

    🌍 doi.org/10.3389/fncom.2025.156

    #Neuroscience #CompNeuro

  31. 🧠 Pastorelli et al. (2025) present a "simplified two-compartment #neuron with #CalciumDynamics capturing #brain-state-specific apical-amplification, -isolation and -drive". This Ca-#AdEx model replicates distinct #dendritic mechanisms across wakefulness, #NREM & #REM sleep using a compact ThetaPlanes transfer function. Cool implementation using the #NESTsimulator 💻!

    🌍 doi.org/10.3389/fncom.2025.156

    #Neuroscience #CompNeuro

  32. 🧠 Pastorelli et al. (2025) present a "simplified two-compartment #neuron with #CalciumDynamics capturing #brain-state-specific apical-amplification, -isolation and -drive". This Ca-#AdEx model replicates distinct #dendritic mechanisms across wakefulness, #NREM & #REM sleep using a compact ThetaPlanes transfer function. Cool implementation using the #NESTsimulator 💻!

    🌍 doi.org/10.3389/fncom.2025.156

    #Neuroscience #CompNeuro

  33. 🧠 Pastorelli et al. (2025) present a "simplified two-compartment #neuron with #CalciumDynamics capturing #brain-state-specific apical-amplification, -isolation and -drive". This Ca-#AdEx model replicates distinct #dendritic mechanisms across wakefulness, #NREM & #REM sleep using a compact ThetaPlanes transfer function. Cool implementation using the #NESTsimulator 💻!

    🌍 doi.org/10.3389/fncom.2025.156

    #Neuroscience #CompNeuro

  34. [Перевод] Permutation neuron или как решить MNIST на 77% с помощью 3 нейронов

    Это одна из попыток решить mnist за минимальное количество операций умножения. В качестве примера рассмотрим задачу MNIST, где permutation neuron с тремя классических нейронами и есть вся наша сеть. Permutation neuron — это вычислительный блок, реализующий преобразование входных сигналов на основе перестановки. Нейрон поддерживает набор внутренних векторов, которые переупорядочиваются на основе их взаимодействия с входными данными. Этот процесс переупорядочения отображает входное пространство в дискретный набор выходных шаблонов, где каждый шаблон соответствует определенной перестановке внутренних векторов. Для классификации 10 цифр датасета MNIST требуется не менее 10 различных состояний нейрона. Поскольку число перестановок определяется факториалом количества нейронов, минимально необходимо 4 нейрона (4! = 24 перестановки), чтобы покрыть 10 классов. Однако, вычитая значение одного нейрона из остальных (нормализация), можно ограничиться вычислением трёх нейронов, задавая четвёртый нейрон равным нулю, без нарушения порядка перестановок. Это позволяет сократить вычислительные затраты, сохраняя 24 уникальных состояния для классификации. Для задачи классификации 10 цифр датасета MNIST permutation neuron работает следующим образом: три нейрона с линейной функцией активации вычисляют значения на основе входных данных изображения, а четвёртый нейрон фиксируется равным нулю. Эти четыре значения упорядочиваются, формируя одну из 24 возможных перестановок (4!), например, ACZB. С помощью кода Лемера каждая перестановка преобразуется в уникальное число от 0 до 23, которое затем отображается на один из 10 классов MNIST, определяя, например, цифру от 0 до 9.

    habr.com/ru/articles/926426/

    #mnist #permutattion #neuron