Ankur Sinha "FranciscoD"<p>The <a href="https://fosstodon.org/tags/NeuroFedora" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroFedora</span></a> team has changed how it packages software for users. We now prioritise software that cannot easily be installed from upstream forges (like PyPi) for inclusion as <a href="https://fosstodon.org/tags/rpm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rpm</span></a> packages into <span class="h-card" translate="no"><a href="https://fosstodon.org/@fedora" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>fedora</span></a></span> . Software that can be easily installed is tested to ensure that it functions on all the <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> versions supported by any Fedora release.</p><p>Read more here:</p><p><a href="https://neuroblog.fedoraproject.org/2025/08/02/packaging-changes-at-neurofedora.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">neuroblog.fedoraproject.org/20</span><span class="invisible">25/08/02/packaging-changes-at-neurofedora.html</span></a></p><p>The Comp Neuro Lab has also been dropped.</p><p><a href="https://fosstodon.org/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroscience</span></a> <a href="https://fosstodon.org/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> <a href="https://fosstodon.org/tags/FOSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FOSS</span></a> <a href="https://fosstodon.org/tags/Linux" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Linux</span></a> <a href="https://fosstodon.org/tags/Distributions" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Distributions</span></a></p>
toad.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
Mastodon server operated by David Troy, a tech pioneer and investigative journalist addressing threats to democracy. Thoughtful participation and discussion welcome.
Administered by:
Server stats:
251active users
toad.social: About · Profiles directory · Privacy policy
Mastodon: About · Get the app · Keyboard shortcuts · View source code · v4.4.1
#computationalneuroscience
3 posts · 3 participants · 0 posts today
Dan Goodman<p>New preprint with <span class="h-card" translate="no"><a href="https://neuromatch.social/@marcusghosh" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>marcusghosh</span></a></span> on how neural network architecture shapes function. We explored a wide range of architectures, and a family of tasks with components of navigation, decision making under uncertainty, multimodal integration and memory. Performance better explained by "computational traits" like sensitivity and memory, than by architectural features. </p><p><a href="https://www.biorxiv.org/content/10.1101/2025.07.28.667142v1" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">biorxiv.org/content/10.1101/20</span><span class="invisible">25.07.28.667142v1</span></a></p><p><a href="https://neuromatch.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://neuromatch.social/tags/compneuro" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>compneuro</span></a> <a href="https://neuromatch.social/tags/computationalneuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>computationalneuroscience</span></a></p>
Neuromatch<p>Rito <span class="h-card" translate="no"><a href="https://mathstodon.xyz/@rg" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>rg</span></a></span> joined <a href="https://neuromatch.social/tags/NeuromatchAcademy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuromatchAcademy</span></a> as a student...then came back as a TA to give back!</p><p>What keeps him coming back?<br>✨ The global, diverse learning pods<br>🧠 The high-quality, interdisciplinary content<br>🤝 The chance to learn and teach</p><p>Read his story: <a href="https://www.linkedin.com/feed/update/urn:li:activity:7356037435849428994" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">linkedin.com/feed/update/urn:l</span><span class="invisible">i:activity:7356037435849428994</span></a></p><p><a href="https://neuromatch.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroscience</span></a> <a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> <a href="https://neuromatch.social/tags/NeuroAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroAI</span></a> <a href="https://neuromatch.social/tags/STEMeducation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>STEMeducation</span></a></p>
Tanguy Fardet<p>I just discovered the ARC-AGI initiative and the associated test to estimate how close "AI" models are from <a href="https://fediscience.org/tags/AGI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AGI</span></a></p><p><a href="https://arcprize.org/arc-agi" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arcprize.org/arc-agi</span><span class="invisible"></span></a></p><p>While I found the initiative interesting, I'm not sure I understand what in this test really guarantees that the model is capable of some form of generalization and problem-solving.<br>Wouldn't it be possible for specialized pattern-matching/discovering algorithms to solve such problems?<br>I imagine some computer scientists, mathematicians or computational neuroscientists have already had a look at this, so would anyone knows of some articles/blogs on the topic?</p><p>Maybe <span class="h-card" translate="no"><a href="https://scholar.social/@wim_v12e" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>wim_v12e</span></a></span>? Is this something you already looked at?</p><p><a href="https://fediscience.org/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://fediscience.org/tags/machineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machineLearning</span></a> <a href="https://fediscience.org/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://fediscience.org/tags/cognition" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cognition</span></a> <a href="https://fediscience.org/tags/computationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>computationalNeuroscience</span></a> <a href="https://fediscience.org/tags/neuralNets" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuralNets</span></a> <a href="https://fediscience.org/tags/lazyWeb" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>lazyWeb</span></a></p>
Ankur Sinha "FranciscoD"<p>A new version of the Open Source Brain (<a href="https://fosstodon.org/tags/OpenSourceBrain" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSourceBrain</span></a>) model validation framework was just released. Please update your installations:</p><p>```<br>pip install -U OSBModelValidation<br>```</p><p><a href="https://github.com/OpenSourceBrain/osb-model-validation/releases/tag/v0.3.9" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/OpenSourceBrain/osb</span><span class="invisible">-model-validation/releases/tag/v0.3.9</span></a></p><p><a href="https://fosstodon.org/tags/OMV" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OMV</span></a> is a <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> package that allows you to validate your <a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroML</span></a> models against different simulation engines---to ensure that you get the same behaviours on all these engines. Examples:</p><p><a href="https://github.com/OpenSourceBrain/.github/blob/main/testsheet/README.md" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/OpenSourceBrain/.gi</span><span class="invisible">thub/blob/main/testsheet/README.md</span></a> </p><p><a href="https://fosstodon.org/tags/FAIR" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FAIR</span></a> <a href="https://fosstodon.org/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> <a href="https://fosstodon.org/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroscience</span></a> <a href="https://fosstodon.org/tags/ModelValidation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ModelValidation</span></a></p>
United States News Beep<p>Deep adaptive learning predicts and diagnoses CSVD-related cognitive decline using radiomics from T2-FLAIR: a multi-centre study</p><p>Patient enrolment and baseline characteristics A total of 783 su…<br><a href="https://newsbeep.org/tags/NewsBeep" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NewsBeep</span></a> <a href="https://newsbeep.org/tags/News" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>News</span></a> <a href="https://newsbeep.org/tags/US" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>US</span></a> <a href="https://newsbeep.org/tags/USA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>USA</span></a> <a href="https://newsbeep.org/tags/UnitedStates" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnitedStates</span></a> <a href="https://newsbeep.org/tags/UnitedStatesOfAmerica" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnitedStatesOfAmerica</span></a> <a href="https://newsbeep.org/tags/Artificialintelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Artificialintelligence</span></a> <a href="https://newsbeep.org/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://newsbeep.org/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://newsbeep.org/tags/Biomedicine" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Biomedicine</span></a> <a href="https://newsbeep.org/tags/biotechnology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biotechnology</span></a> <a href="https://newsbeep.org/tags/Cognitiveageing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Cognitiveageing</span></a> <a href="https://newsbeep.org/tags/Cognitiveneuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Cognitiveneuroscience</span></a> <a href="https://newsbeep.org/tags/Computationalneuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Computationalneuroscience</span></a> <a href="https://newsbeep.org/tags/general" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>general</span></a> <a href="https://newsbeep.org/tags/Imageprocessing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Imageprocessing</span></a> <a href="https://newsbeep.org/tags/Medicine" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Medicine</span></a>/PublicHealth <a href="https://newsbeep.org/tags/Technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Technology</span></a><br><a href="https://www.newsbeep.com/us/12439/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">newsbeep.com/us/12439/</span><span class="invisible"></span></a></p>
Ankur Sinha "FranciscoD"<p>A new release of PyNeuroML is available, please update your installations:</p><p><a href="https://github.com/NeuroML/pyNeuroML/releases" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/NeuroML/pyNeuroML/r</span><span class="invisible">eleases</span></a></p><p>```<br>pip install --upgrade pyneuroml<br>```</p><p><a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroML</span></a> <a href="https://fosstodon.org/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> <a href="https://fosstodon.org/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroscience</span></a> <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://fosstodon.org/tags/AcademicChatter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AcademicChatter</span></a></p>
Dan Goodman<p>Almost last call to register for UK neural computation conference in London July 10-11. Registration deadline is July 1st. We have some great talks and posters as well as a session on funding with ARIA.</p><p>Look forward to seeing you all there. Now click here 👇</p><p><a href="https://neuralcomputation.uk/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">neuralcomputation.uk/</span><span class="invisible"></span></a></p><p><a href="https://neuromatch.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://neuromatch.social/tags/compneuro" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>compneuro</span></a> <a href="https://neuromatch.social/tags/computationalneuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>computationalneuroscience</span></a></p>
Fabrizio Musacchio<p>🧠 New <a href="https://sigmoid.social/tags/preprint" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>preprint</span></a>! Confavreux et al. use meta-learning to uncover thousands of diverse, local <a href="https://sigmoid.social/tags/plasticity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>plasticity</span></a> rule quadruplets that stabilize <a href="https://sigmoid.social/tags/RecurrentSpikingNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RecurrentSpikingNetworks</span></a> — and incidentally support <a href="https://sigmoid.social/tags/memory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>memory</span></a> functions like novelty detection, replay, & contextual prediction. A striking case of function emerging from stability.</p><p>📄 <a href="https://doi.org/10.1101/2025.05.28.656584" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1101/2025.05.28.656</span><span class="invisible">584</span></a></p><p><a href="https://sigmoid.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroscience</span></a> <a href="https://sigmoid.social/tags/Plasticity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Plasticity</span></a> <a href="https://sigmoid.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> <a href="https://sigmoid.social/tags/CompNeuro" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CompNeuro</span></a> <a href="https://sigmoid.social/tags/SNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SNN</span></a> <a href="https://sigmoid.social/tags/SpikingNeurons" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SpikingNeurons</span></a></p>
Neuromatch<p>At Neuromatch Academy & Climatematch Academy, we’re not just running courses. Neuromatch is investing in the next generation of computational scientists, changemakers, & interdisciplinary thinkers.</p><p>As part of this mission, we offer Professional Development sessions that give our students & TAs real-world tools and insight before the coursework begins.</p><p>🤓Want to get involved with Neuromatch? Join our mailing list: <a href="https://neuromatch.io/mailing-list/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">neuromatch.io/mailing-list/</span><span class="invisible"></span></a></p><p><a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> <a href="https://neuromatch.social/tags/ClimateScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ClimateScience</span></a> <a href="https://neuromatch.social/tags/OpenScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenScience</span></a></p>
Fabrizio Musacchio<p>🧠 The <a href="https://sigmoid.social/tags/Italian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Italian</span></a> Network of <a href="https://sigmoid.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> announced its 2025 conference:</p><p>📍 Palazzo della Salute, Padova, Italy 🇮🇹 <br>📅 September 22–24, 2025<br>⏰ Submission deadline: June 7, 2025<br>🌍 <a href="https://www.incn.it/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">incn.it/</span><span class="invisible"></span></a></p><p>A 3-day deep dive into the brain — from models to data, theory to technology.<br><a href="https://sigmoid.social/tags/CompNeuro" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CompNeuro</span></a> <a href="https://sigmoid.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroscience</span></a></p>
Bytes Europe<p>Egocentric value maps of the near-body environment <a href="https://www.byteseu.com/1067233/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">byteseu.com/1067233/</span><span class="invisible"></span></a> <a href="https://pubeurope.com/tags/AnimalGeneticsAndGenomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AnimalGeneticsAndGenomics</span></a> <a href="https://pubeurope.com/tags/BehavioralSciences" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BehavioralSciences</span></a> <a href="https://pubeurope.com/tags/BiologicalTechniques" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BiologicalTechniques</span></a> <a href="https://pubeurope.com/tags/Biomedicine" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Biomedicine</span></a> <a href="https://pubeurope.com/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> <a href="https://pubeurope.com/tags/environment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>environment</span></a> <a href="https://pubeurope.com/tags/General" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>General</span></a> <a href="https://pubeurope.com/tags/MotorControl" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MotorControl</span></a> <a href="https://pubeurope.com/tags/neurobiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neurobiology</span></a> <a href="https://pubeurope.com/tags/Neurosciences" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neurosciences</span></a> <a href="https://pubeurope.com/tags/SensorimotorProcessing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SensorimotorProcessing</span></a></p>
Bytes Europe<p>Microsoft takes big step in AI race at Build 2025, Deutsche Bank says <a href="https://www.byteseu.com/1038124/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">byteseu.com/1038124/</span><span class="invisible"></span></a> <a href="https://pubeurope.com/tags/AgenticAi" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AgenticAi</span></a> <a href="https://pubeurope.com/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://pubeurope.com/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://pubeurope.com/tags/ArtificialIntelligenceArmsRace" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligenceArmsRace</span></a> <a href="https://pubeurope.com/tags/business" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>business</span></a> <a href="https://pubeurope.com/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> <a href="https://pubeurope.com/tags/Cybernetics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Cybernetics</span></a> <a href="https://pubeurope.com/tags/Finance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Finance</span></a> <a href="https://pubeurope.com/tags/GenerativeArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenerativeArtificialIntelligence</span></a> <a href="https://pubeurope.com/tags/IntelligentAgent" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IntelligentAgent</span></a> <a href="https://pubeurope.com/tags/Internet" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Internet</span></a> <a href="https://pubeurope.com/tags/microsoft" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>microsoft</span></a> <a href="https://pubeurope.com/tags/Quartz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Quartz</span></a> <a href="https://pubeurope.com/tags/SatyaNadella" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SatyaNadella</span></a> <a href="https://pubeurope.com/tags/Technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Technology</span></a> <a href="https://pubeurope.com/tags/TheMicrosoft" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TheMicrosoft</span></a></p>
Laurent Perrinet<p>Researchers in France are working on creating a French network of researchers to organize interaction, communication and training in <a href="https://neuromatch.social/tags/computationalneuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>computationalneuroscience</span></a> </p><p>If you are a CompNeuro working in France, consider joining, and registering to our mailing list: <a href="https://listes.services.cnrs.fr/wws/subscribe/rt_neurocomp" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">listes.services.cnrs.fr/wws/su</span><span class="invisible">bscribe/rt_neurocomp</span></a></p><p><a href="https://bsky.app/profile/lauradugue.bsky.social/post/3lo6rrtvb3k2v" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">bsky.app/profile/lauradugue.bs</span><span class="invisible">ky.social/post/3lo6rrtvb3k2v</span></a><br><a href="https://www.linkedin.com/posts/laura-dugu%C3%A9-59964756_rtneurocomp-r%C3%A9seau-fran%C3%A7ais-de-neurosciences-activity-7324039702427090944-LKsN" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">linkedin.com/posts/laura-dugu%</span><span class="invisible">C3%A9-59964756_rtneurocomp-r%C3%A9seau-fran%C3%A7ais-de-neurosciences-activity-7324039702427090944-LKsN</span></a></p>
Neurofrontiers<p>A few weeks ago, I shared a differential equations tutorial for beginners, written from the perspective of a neuroscientist who's had to grapple with the computational part. Following up on that, I've now tackled the first real beast encountered by most computational neuroscience students: the Hodgkin-Huxley model. </p><p>While remaining incredibly elegant to this day, this model is also a mathematically dense system of equations that can overwhelm and discourage beginners, especially those with non-mathematical backgrounds. Similar to the first tutorial, I've tried to build intuition step-by-step, starting with a simple RC circuit, layering in Na⁺ and K⁺ channels, and ending with the full spike-generation story. </p><p>Feedback is welcome, especially from fellow non-math converts.<br><a href="https://neurofrontiers.blog/building-a-virtual-neuron-2/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">neurofrontiers.blog/building-a</span><span class="invisible">-virtual-neuron-2/</span></a></p><p><a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> <a href="https://neuromatch.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://neuromatch.social/tags/hodgkinHuxleyModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>hodgkinHuxleyModel</span></a> <a href="https://neuromatch.social/tags/math" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>math</span></a> <a href="https://neuromatch.social/tags/biophysics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biophysics</span></a> </p><p>From: <span class="h-card" translate="no"><a href="https://neuromatch.social/@neurofrontiers" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>neurofrontiers</span></a></span><br><a href="https://neuromatch.social/@neurofrontiers/114150087773204813" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">neuromatch.social/@neurofronti</span><span class="invisible">ers/114150087773204813</span></a></p>
Dan Goodman<p>How do babies and blind people learn to localise sound without labelled data? We propose that innate mechanisms can provide coarse-grained error signals to boostrap learning.</p><p>New preprint from <span class="h-card" translate="no"><a href="https://mastodon.social/@yang_chu" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>yang_chu</span></a></span>. </p><p><a href="https://arxiv.org/abs/2001.10605" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2001.10605</span><span class="invisible"></span></a></p><p>Thread below 👇</p><p><a href="https://neuromatch.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://neuromatch.social/tags/computationalneuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>computationalneuroscience</span></a> <a href="https://neuromatch.social/tags/compneuro" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>compneuro</span></a> <a href="https://neuromatch.social/tags/compneurosci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>compneurosci</span></a></p>
UK<p><a href="https://www.europesays.com/uk/29915/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">europesays.com/uk/29915/</span><span class="invisible"></span></a> Integrating physical units into high-performance AI-driven scientific computing <a href="https://pubeurope.com/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> <a href="https://pubeurope.com/tags/ComputationalPlatformsAndEnvironments" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalPlatformsAndEnvironments</span></a> <a href="https://pubeurope.com/tags/ComputerScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputerScience</span></a> <a href="https://pubeurope.com/tags/Computing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Computing</span></a> <a href="https://pubeurope.com/tags/HumanitiesAndSocialSciences" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HumanitiesAndSocialSciences</span></a> <a href="https://pubeurope.com/tags/multidisciplinary" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>multidisciplinary</span></a> <a href="https://pubeurope.com/tags/Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Science</span></a> <a href="https://pubeurope.com/tags/software" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>software</span></a> <a href="https://pubeurope.com/tags/Technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Technology</span></a> <a href="https://pubeurope.com/tags/UK" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UK</span></a> <a href="https://pubeurope.com/tags/UnitedKingdom" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnitedKingdom</span></a></p>
El Duvelle Neuro<p>I keep going back to this question about <a href="https://neuromatch.social/tags/TemporalCreditAssignment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TemporalCreditAssignment</span></a> and <a href="https://neuromatch.social/tags/HippocampalReplay" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HippocampalReplay</span></a>:<br>As an "agent" you want to learn the value of places and which places are likely to lead to reward;</p><p>-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?</p><p>-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?</p><p>-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?</p><p>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?</p><p><a href="https://neuromatch.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroscience</span></a> <a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> <a href="https://neuromatch.social/tags/DecisionMaking" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DecisionMaking</span></a> <a href="https://neuromatch.social/tags/Hippocampus" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Hippocampus</span></a></p>
Dan Goodman<p>Preview of the talk I'm giving on Friday. <a href="https://neuromatch.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://neuromatch.social/tags/CompNeuro" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CompNeuro</span></a> <a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a></p>
Neurofrontiers<p>When I transitioned from cognitive to computational neuroscience, I found myself in a bit of a bind. I had learned calculus, but I had progressed little beyond pattern recognition: I knew which rules to apply to find solutions to which equations, but the equations themselves lacked any sort of real meaning for me. </p><p>So I struggled with understanding how formulas could be implemented in code and why the code I was reading could be described by those formulas. Resources explaining math “for neuroscientists” were unfortunately quite useless for me, because they usually presented the necessary equations for describing various neural systems, assuming the presence of that basic understanding/intuition I lacked. </p><p>Of course, I figured things out eventually (otherwise I wouldn’t be writing about it), but I’m 85% sure I’m not the only one who’s ever struggled with this, and so I wrote the tutorial I wish I could’ve had. If you’re in a similar position, I hope you’ll find it useful. And if not, maybe it helps you get a glimpse into the struggles of the non-math people in your life. Either way, it has cats.</p><p><a href="https://neurofrontiers.blog/building-a-virtual-neuron-1/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">neurofrontiers.blog/building-a</span><span class="invisible">-virtual-neuron-1/</span></a></p><p><a href="https://neuromatch.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://neuromatch.social/tags/math" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>math</span></a> <a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> <a href="https://neuromatch.social/tags/tutorial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tutorial</span></a> <a href="https://neuromatch.social/tags/academia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>academia</span></a></p>
TrendingLive feeds
Mastodon is the best way to keep up with what's happening.
Follow anyone across the fediverse and see it all in chronological order. No algorithms, ads, or clickbait in sight.
Create accountLoginDrag & drop to upload