#computationalneuroscience — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #computationalneuroscience, aggregated by home.social.
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Progress on building an #AI assistant for #Neuroscience: scope, funding, ideas, and a name: #Klea
#Neuroscience #OpenScience #LLM #LangChain #LangGraph #MCP #Python #FastAPI #FastMCP #NeuroML #NWB #ComputationalNeuroscience #ComputationalModelling #DataAnalysis #Klea
TLDR: the #RAG is ready for you to play with. The coding agent is WIP.
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Progress on building an #AI assistant for #Neuroscience: scope, funding, ideas, and a name: #Klea
#Neuroscience #OpenScience #LLM #LangChain #LangGraph #MCP #Python #FastAPI #FastMCP #NeuroML #NWB #ComputationalNeuroscience #ComputationalModelling #DataAnalysis #Klea
TLDR: the #RAG is ready for you to play with. The coding agent is WIP.
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Progress on building an #AI assistant for #Neuroscience: scope, funding, ideas, and a name: #Klea
#Neuroscience #OpenScience #LLM #LangChain #LangGraph #MCP #Python #FastAPI #FastMCP #NeuroML #NWB #ComputationalNeuroscience #ComputationalModelling #DataAnalysis #Klea
TLDR: the #RAG is ready for you to play with. The coding agent is WIP.
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Progress on building an #AI assistant for #Neuroscience: scope, funding, ideas, and a name: #Klea
#Neuroscience #OpenScience #LLM #LangChain #LangGraph #MCP #Python #FastAPI #FastMCP #NeuroML #NWB #ComputationalNeuroscience #ComputationalModelling #DataAnalysis #Klea
TLDR: the #RAG is ready for you to play with. The coding agent is WIP.
-
Progress on building an #AI assistant for #Neuroscience: scope, funding, ideas, and a name: #Klea
#Neuroscience #OpenScience #LLM #LangChain #LangGraph #MCP #Python #FastAPI #FastMCP #NeuroML #NWB #ComputationalNeuroscience #ComputationalModelling #DataAnalysis #Klea
TLDR: the #RAG is ready for you to play with. The coding agent is WIP.
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Shoutout to Peter Ohue for representing Neuromatch at a CompNeuro Nigeria webinar!
He shared our free, open source learning materials, along with information on our virtual course that runs each July.
#ComputationalNeuroscience #CompNeuro #NeuroAI #DeepLearning #OpenScience #Africa
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🙋If you or your community are curious about #ComputationalNeuroscience, there is likely a Nueromatch Ambassador near you, or one who speaks your language, who would be glad to give a talk or answer questions.
➡️ Connect with an Ambassador: https://neuromatch.io/ambassadors/
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The ANDA-NI Retreat has begun, marking the third component of this year's Advanced Neural Data Analysis and Neuroinformatics programme. Nicholas A. Del Grosso and I are excited to kick off this closing project week together with a highly international crowd of dedicated participants.
Over the past weeks, participants worked through two online courses covering the mathematical foundations of neural data analysis (ANDA) and data management skills from neuroinformatics (NI). Now comes the part that matters just as much: applying that knowledge to real data, contributed by the participants themselves, and collaborating in small teams to tackle research questions.
Mastering the equations behind a technique is only half the job. The other half is developing an eye for data, learning to read what an analysis is actually telling you, spotting when something doesn't look right, and knowing how to embed and combine analysis methods into workflows that are reproducible and shareable with others. That's the skillset we're aiming to build this week.
Looking forward to an exciting and hands-on week ahead.
#Neuroscience #Neuroinformatics #DataAnalysis #OpenScience #ReproducibleResearch #ComputationalNeuroscience #ScienceEducation
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🌐 🤓 Vikramaditya Bisani discovered how much international collaboration shapes real research through #NeuromatchAcademy's #CompNeuro and #NeuroAI courses.
#ComputationalNeuroscience #ImpactScholar #FutureResearchers #DiversityInScience
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Meet Apollo Yang, a #Neuromatch Ambassador!
Whether you are part of the 2026 #NeuromatchAcademy cohort or just curious about taking a course in the future, reach out and connect with a Neuromatch Ambassador!
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📚 📈#Worte entwickeln sich weiter: Warum #Sprache, #Meme und #Gehirne der #Logik der #Evolution folgen 🧬🧠
📽 https://youtu.be/M2qiVz95ZYk
📎 https://philosophies.de/index.php/2023/12/25/naturalistic-view/
#DanielDennett #PhilosophieDesGeistes #Kognitionswissenschaft #Memetik #KulturelleEvolution #Evolutionstheorie #Bewusstsein #KünstlicheIntelligenz #AGI #Neurowissenschaft #ComputationalNeuroscience #Zoomposium #SelbstUndIdentität #GeistUndGehirn #Naturalismus #Funktionalismus #Embodiment #Informationstheorie #Wissenschaftskommunikation
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Postdoctoral Associate – Human Auditory and Computational Models
University of ConnecticutSee the full job description on jobRxiv: https://jobrxiv.org/job/university-of-connecticut-27778-postdoctoral-associate-human-auditory-and-computational-models/
#aimachinelearning #auditoryperception #computationalneuroscience #machinelearning #psychoacoustics #ScienceJ...
https://jobrxiv.org/job/university-of-connecticut-27778-postdoctoral-associate-human-auditory-and-computational-models/?fsp_sid=8929 -
Building detailed neuronal models is hard---#NeuroML helps, but there’s still a steep learning curve. We're investigating how #LLMs can be used to create natural language interfaces to improve accessibility:
- #RAG for NeuroML: learn from and query curated information sources
- iterative LLM assisted code/model generation: modelling, validation, and simulationMore details in the post:
#Neuroscience #ComputationalNeuroscience #AcademicChatter #LangChain
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Building detailed neuronal models is hard---#NeuroML helps, but there’s still a steep learning curve. We're investigating how #LLMs can be used to create natural language interfaces to improve accessibility:
- #RAG for NeuroML: learn from and query curated information sources
- iterative LLM assisted code/model generation: modelling, validation, and simulationMore details in the post:
#Neuroscience #ComputationalNeuroscience #AcademicChatter #LangChain
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Building detailed neuronal models is hard---#NeuroML helps, but there’s still a steep learning curve. We're investigating how #LLMs can be used to create natural language interfaces to improve accessibility:
- #RAG for NeuroML: learn from and query curated information sources
- iterative LLM assisted code/model generation: modelling, validation, and simulationMore details in the post:
#Neuroscience #ComputationalNeuroscience #AcademicChatter #LangChain
-
Building detailed neuronal models is hard---#NeuroML helps, but there’s still a steep learning curve. We're investigating how #LLMs can be used to create natural language interfaces to improve accessibility:
- #RAG for NeuroML: learn from and query curated information sources
- iterative LLM assisted code/model generation: modelling, validation, and simulationMore details in the post:
#Neuroscience #ComputationalNeuroscience #AcademicChatter #LangChain
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I created a #CookieCutter project template for #ComputationalModelling using #NeuroML
(You can use it for non NeuroML models too, or modify it for your own templates)
More information here:
#ComputationalNeuroscience #Python #Neuroscience #AcademicChatter
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I created a #CookieCutter project template for #ComputationalModelling using #NeuroML
(You can use it for non NeuroML models too, or modify it for your own templates)
More information here:
#ComputationalNeuroscience #Python #Neuroscience #AcademicChatter
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I created a #CookieCutter project template for #ComputationalModelling using #NeuroML
(You can use it for non NeuroML models too, or modify it for your own templates)
More information here:
#ComputationalNeuroscience #Python #Neuroscience #AcademicChatter
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I created a #CookieCutter project template for #ComputationalModelling using #NeuroML
(You can use it for non NeuroML models too, or modify it for your own templates)
More information here:
#ComputationalNeuroscience #Python #Neuroscience #AcademicChatter
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A lot of steps for starting new computational modelling projects in #NeuroML are repeatable and can be automated. So, I created a #Cookiecutter template to quickstart these projects. It includes boilerplate code and implements lots of other recommended/best practices in model and software development. Feedback/suggestions welcome!
#Neuroscience #ComputationalNeuroscience #Python #Git #AcademicChatter #FAIR #OpenScience #FOSS #SoftwareDevelopment
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A lot of steps for starting new computational modelling projects in #NeuroML are repeatable and can be automated. So, I created a #Cookiecutter template to quickstart these projects. It includes boilerplate code and implements lots of other recommended/best practices in model and software development. Feedback/suggestions welcome!
#Neuroscience #ComputationalNeuroscience #Python #Git #AcademicChatter #FAIR #OpenScience #FOSS #SoftwareDevelopment
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A lot of steps for starting new computational modelling projects in #NeuroML are repeatable and can be automated. So, I created a #Cookiecutter template to quickstart these projects. It includes boilerplate code and implements lots of other recommended/best practices in model and software development. Feedback/suggestions welcome!
#Neuroscience #ComputationalNeuroscience #Python #Git #AcademicChatter #FAIR #OpenScience #FOSS #SoftwareDevelopment
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A new version of the Open Source Brain (#OpenSourceBrain) model validation framework was just released. Please update your installations:
```
pip install -U OSBModelValidation
```https://github.com/OpenSourceBrain/osb-model-validation/releases/tag/v0.3.9
#OMV is a #Python package that allows you to validate your #NeuroML models against different simulation engines---to ensure that you get the same behaviours on all these engines. Examples:
https://github.com/OpenSourceBrain/.github/blob/main/testsheet/README.md
#FAIR #ComputationalNeuroscience #Neuroscience #ModelValidation
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A new version of the Open Source Brain (#OpenSourceBrain) model validation framework was just released. Please update your installations:
```
pip install -U OSBModelValidation
```https://github.com/OpenSourceBrain/osb-model-validation/releases/tag/v0.3.9
#OMV is a #Python package that allows you to validate your #NeuroML models against different simulation engines---to ensure that you get the same behaviours on all these engines. Examples:
https://github.com/OpenSourceBrain/.github/blob/main/testsheet/README.md
#FAIR #ComputationalNeuroscience #Neuroscience #ModelValidation
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A new version of the Open Source Brain (#OpenSourceBrain) model validation framework was just released. Please update your installations:
```
pip install -U OSBModelValidation
```https://github.com/OpenSourceBrain/osb-model-validation/releases/tag/v0.3.9
#OMV is a #Python package that allows you to validate your #NeuroML models against different simulation engines---to ensure that you get the same behaviours on all these engines. Examples:
https://github.com/OpenSourceBrain/.github/blob/main/testsheet/README.md
#FAIR #ComputationalNeuroscience #Neuroscience #ModelValidation
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A new release of PyNeuroML is available, please update your installations:
https://github.com/NeuroML/pyNeuroML/releases
```
pip install --upgrade pyneuroml
```#NeuroML #ComputationalNeuroscience #Neuroscience #Python #AcademicChatter
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A new release of PyNeuroML is available, please update your installations:
https://github.com/NeuroML/pyNeuroML/releases
```
pip install --upgrade pyneuroml
```#NeuroML #ComputationalNeuroscience #Neuroscience #Python #AcademicChatter
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A new release of PyNeuroML is available, please update your installations:
https://github.com/NeuroML/pyNeuroML/releases
```
pip install --upgrade pyneuroml
```#NeuroML #ComputationalNeuroscience #Neuroscience #Python #AcademicChatter
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A new release of #PyNeuroML is available. Please update to get the latest fixes and features. #NeuroML #ComputationalModelling #ComputationalNeuroscience
```
pip install --upgrade pyneuroml
``` -
A new release of #PyNeuroML is available. Please update to get the latest fixes and features. #NeuroML #ComputationalModelling #ComputationalNeuroscience
```
pip install --upgrade pyneuroml
``` -
A new release of #PyNeuroML is available. Please update to get the latest fixes and features. #NeuroML #ComputationalModelling #ComputationalNeuroscience
```
pip install --upgrade pyneuroml
``` -
In the next version, 0.6.6, all component classes in the #libNeuroML #Python API gain a quick method to list the parameters of their model objects. So, if you load a #NeuroML file/model, you can easily print the parameters of the different model entities. See the test in the pull request for a quick example:
https://github.com/NeuralEnsemble/libNeuroML/pull/208/files
#ComputationalNeuroscience #AcademicChatter #Neuroscience #FAIR
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In the next version, 0.6.6, all component classes in the #libNeuroML #Python API gain a quick method to list the parameters of their model objects. So, if you load a #NeuroML file/model, you can easily print the parameters of the different model entities. See the test in the pull request for a quick example:
https://github.com/NeuralEnsemble/libNeuroML/pull/208/files
#ComputationalNeuroscience #AcademicChatter #Neuroscience #FAIR
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In the next version, 0.6.6, all component classes in the #libNeuroML #Python API gain a quick method to list the parameters of their model objects. So, if you load a #NeuroML file/model, you can easily print the parameters of the different model entities. See the test in the pull request for a quick example:
https://github.com/NeuralEnsemble/libNeuroML/pull/208/files
#ComputationalNeuroscience #AcademicChatter #Neuroscience #FAIR
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I keep going back to this question about #TemporalCreditAssignment and #HippocampalReplay:
As an "agent" you want to learn the value of places and which places are likely to lead to reward;-1) if a place leads to higher than expected reward, you'll want to propagate back the reward info from the reward throughout the places that led to the reward. If replay does that you should see an increase of replay at a new reward site and the replay sequences should start at the reward and reflect what you just did to reach it. Right?
-2) if a place leads to lower than expected reward, you'll also want to propagate that lowered value, pretty much in the same way, so if replay does that you should see a similar replay rate and content for increased OR decreased reward sites. Right?
-3) if a place has had unchanged reward for a while and you're just in exploitation mode (just going there again and again because you know that's the best place to go to in the environment) then you shouldn't need to update anything and replay rate should be quite low at that unchanged reward side. Right?
That's not at all what replay is doing IRL, so does that mean replay is not used for temporal credit assignment? Or did I (very likely) miss something?
#Neuroscience #ComputationalNeuroscience #DecisionMaking #Hippocampus
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#NeuroML is participating in #GSoC2025 again this year under @INCF . We're looking for people with some experience of #ComputationalNeuroscience to work on developing #standardised biophysically detailed computational models using #NeuroML #PyNN and #OpenSourceBrain.
Please spread the word, especially to students interested in modelling. We will help them learn the NeuroML ecosystem so they can use its standardised pipeline in their work.
https://docs.neuroml.org/NeuroMLOrg/OutreachTraining.html#google-summer-of-code
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#NeuroML is participating in #GSoC2025 again this year under @INCF . We're looking for people with some experience of #ComputationalNeuroscience to work on developing #standardised biophysically detailed computational models using #NeuroML #PyNN and #OpenSourceBrain.
Please spread the word, especially to students interested in modelling. We will help them learn the NeuroML ecosystem so they can use its standardised pipeline in their work.
https://docs.neuroml.org/NeuroMLOrg/OutreachTraining.html#google-summer-of-code
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#NeuroML is participating in #GSoC2025 again this year under @INCF . We're looking for people with some experience of #ComputationalNeuroscience to work on developing #standardised biophysically detailed computational models using #NeuroML #PyNN and #OpenSourceBrain.
Please spread the word, especially to students interested in modelling. We will help them learn the NeuroML ecosystem so they can use its standardised pipeline in their work.
https://docs.neuroml.org/NeuroMLOrg/OutreachTraining.html#google-summer-of-code
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We are very happy to provide a consolidated update on the #NeuroML ecosystem in our @eLife paper, “The NeuroML ecosystem for standardized multi-scale modeling in neuroscience”: https://doi.org/10.7554/eLife.95135.3
#NeuroML is a standard and software ecosystem for data-driven biophysically detailed #ComputationalModelling endorsed by the @INCF and CoMBINE, and includes a large community of users and software developers.
#Neuroscience #ComputationalNeuroscience #ComputationalModelling 1/x
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We are very happy to provide a consolidated update on the #NeuroML ecosystem in our @eLife paper, “The NeuroML ecosystem for standardized multi-scale modeling in neuroscience”: https://doi.org/10.7554/eLife.95135.3
#NeuroML is a standard and software ecosystem for data-driven biophysically detailed #ComputationalModelling endorsed by the @INCF and CoMBINE, and includes a large community of users and software developers.
#Neuroscience #ComputationalNeuroscience #ComputationalModelling 1/x
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We are very happy to provide a consolidated update on the #NeuroML ecosystem in our @eLife paper, “The NeuroML ecosystem for standardized multi-scale modeling in neuroscience”: https://doi.org/10.7554/eLife.95135.3
#NeuroML is a standard and software ecosystem for data-driven biophysically detailed #ComputationalModelling endorsed by the @INCF and CoMBINE, and includes a large community of users and software developers.
#Neuroscience #ComputationalNeuroscience #ComputationalModelling 1/x
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Are you interested in a masters or PhD in computational neuroscience? Don't miss @bccn_berlin's hybrid event!
🧠 International graduate program(s) computational neuroscience
📅 29-Jan-2025, 15-18 CET
📍 BCCN Lecture hall & ZoomLearn more & register: bit.ly/4h0zj9y
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Update on what I did from weeks 27-36 this year:
https://ankursinha.in/2024/09/06/week-27-36-update.html
#NeuroML #ComputationalNeuroscience #Fedora #OpenSourceBrain #GoogleSummerOfCode #ComputationalModelling #AcademicChatter #FOSS #OpenScience
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Update on what I did from weeks 27-36 this year:
https://ankursinha.in/2024/09/06/week-27-36-update.html
#NeuroML #ComputationalNeuroscience #Fedora #OpenSourceBrain #GoogleSummerOfCode #ComputationalModelling #AcademicChatter #FOSS #OpenScience
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Update on what I did from weeks 27-36 this year:
https://ankursinha.in/2024/09/06/week-27-36-update.html
#NeuroML #ComputationalNeuroscience #Fedora #OpenSourceBrain #GoogleSummerOfCode #ComputationalModelling #AcademicChatter #FOSS #OpenScience
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#Standardized #NeuroML model of the day (2024-09-11):
Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of Dendritic and Perisomatic Active Properties, Hay et al 2011
See if on #OpenSourceBrain here:
https://v1.opensourcebrain.org/projects/l5bpyrcellhayetal2011
and on #GitHub here: https://github.com/OpenSourceBrain/L5bPyrCellHayEtAl2011
#ComputationalNeuroscience #ComputationalModelling #Neuroscience #Cortex #Layer5B #FAIR #OpenScience #AcademicChatter
Learn more about NeuroML here: https://docs.neuroml.org
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#Standardized #NeuroML model of the day (2024-09-11):
Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of Dendritic and Perisomatic Active Properties, Hay et al 2011
See if on #OpenSourceBrain here:
https://v1.opensourcebrain.org/projects/l5bpyrcellhayetal2011
and on #GitHub here: https://github.com/OpenSourceBrain/L5bPyrCellHayEtAl2011
#ComputationalNeuroscience #ComputationalModelling #Neuroscience #Cortex #Layer5B #FAIR #OpenScience #AcademicChatter
Learn more about NeuroML here: https://docs.neuroml.org
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#Standardized #NeuroML model of the day (2024-09-11):
Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of Dendritic and Perisomatic Active Properties, Hay et al 2011
See if on #OpenSourceBrain here:
https://v1.opensourcebrain.org/projects/l5bpyrcellhayetal2011
and on #GitHub here: https://github.com/OpenSourceBrain/L5bPyrCellHayEtAl2011
#ComputationalNeuroscience #ComputationalModelling #Neuroscience #Cortex #Layer5B #FAIR #OpenScience #AcademicChatter
Learn more about NeuroML here: https://docs.neuroml.org
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Rethinking the #hippocampal #cognitivemap as a #metalearning computational module – New publication by Luca Ambrogioni &
H. Freyja Ólafsdóttir (2023)