#computationalneuroscience

Fabrizio Musacchio🧠 New <a href="https://sigmoid.social/tags/preprint" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#preprint</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 noreferrer" target="_blank">#plasticity</a> rule quadruplets that stabilize <a href="https://sigmoid.social/tags/RecurrentSpikingNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RecurrentSpikingNetworks</a> — and incidentally support <a href="https://sigmoid.social/tags/memory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#memory</a> functions like novelty detection, replay, & contextual prediction. A striking case of function emerging from stability.📄 <a href="https://doi.org/10.1101/2025.05.28.656584" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://doi.org/10.1101/2025.05.28.656584</a><a href="https://sigmoid.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Neuroscience</a> <a href="https://sigmoid.social/tags/Plasticity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Plasticity</a> <a href="https://sigmoid.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputationalNeuroscience</a> <a href="https://sigmoid.social/tags/CompNeuro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CompNeuro</a> <a href="https://sigmoid.social/tags/SNN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SNN</a> <a href="https://sigmoid.social/tags/SpikingNeurons" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SpikingNeurons</a>

Fabrizio Musacchio🧠 The <a href="https://sigmoid.social/tags/Italian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Italian</a> Network of <a href="https://sigmoid.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputationalNeuroscience</a> announced its 2025 conference:📍 Palazzo della Salute, Padova, Italy 🇮🇹 📅 September 22–24, 2025 ⏰ Submission deadline: June 7, 2025 🌍 <a href="https://www.incn.it/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.incn.it/</a>A 3-day deep dive into the brain — from models to data, theory to technology. <a href="https://sigmoid.social/tags/CompNeuro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CompNeuro</a> <a href="https://sigmoid.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Neuroscience</a>

Bytes EuropeMicrosoft takes big step in AI race at Build 2025, Deutsche Bank says <a href="https://www.byteseu.com/1038124/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.byteseu.com/1038124/</a> <a href="https://pubeurope.com/tags/AgenticAi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AgenticAi</a> <a href="https://pubeurope.com/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a href="https://pubeurope.com/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ArtificialIntelligence</a> <a href="https://pubeurope.com/tags/ArtificialIntelligenceArmsRace" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ArtificialIntelligenceArmsRace</a> <a href="https://pubeurope.com/tags/business" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#business</a> <a href="https://pubeurope.com/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputationalNeuroscience</a> <a href="https://pubeurope.com/tags/Cybernetics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Cybernetics</a> <a href="https://pubeurope.com/tags/Finance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Finance</a> <a href="https://pubeurope.com/tags/GenerativeArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GenerativeArtificialIntelligence</a> <a href="https://pubeurope.com/tags/IntelligentAgent" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#IntelligentAgent</a> <a href="https://pubeurope.com/tags/Internet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Internet</a> <a href="https://pubeurope.com/tags/microsoft" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#microsoft</a> <a href="https://pubeurope.com/tags/Quartz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Quartz</a> <a href="https://pubeurope.com/tags/SatyaNadella" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SatyaNadella</a> <a href="https://pubeurope.com/tags/Technology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Technology</a> <a href="https://pubeurope.com/tags/TheMicrosoft" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TheMicrosoft</a>

Laurent PerrinetResearchers 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 noreferrer" target="_blank">#computationalneuroscience</a> 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 noreferrer" translate="no" target="_blank">https://listes.services.cnrs.fr/wws/subscribe/rt_neurocomp</a><a href="https://bsky.app/profile/lauradugue.bsky.social/post/3lo6rrtvb3k2v" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://bsky.app/profile/lauradugue.bsky.social/post/3lo6rrtvb3k2v</a> <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 noreferrer" translate="no" target="_blank">https://www.linkedin.com/posts/laura-dugu%C3%A9-59964756_rtneurocomp-r%C3%A9seau-fran%C3%A7ais-de-neurosciences-activity-7324039702427090944-LKsN</a>

Laurent Perrinet🧠 Nouveau Réseau Français De Neurosciences Computationnelles !🧠Une initiative passionnante est en cours en France ! Des chercheurs établissent un réseau national dédié aux <a href="https://neuromatch.social/tags/NeurosciencesComputationnelles" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NeurosciencesComputationnelles</a> pour faciliter :<ul><li>La collaboration entre équipes de recherche</li><li>Le partage de connaissances et de ressources</li><li>La formation de la prochaine génération de chercheurs</li><li>La visibilité de la recherche française dans ce domaine en pleine expansion</li></ul>🔍 Vous travaillez en <a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputationalNeuroscience</a> sur le territoire français ? Que vous soyez chercheur·e confirmé·e, post-doctorant·e, doctorant·e ou étudiant·e, rejoignez notre communauté !📝 Inscrivez-vous à notre liste de diffusion pour recevoir les actualités, événements et opportunités :➡️ <a href="https://listes.services.cnrs.fr/wws/subscribe/rt_neurocomp" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://listes.services.cnrs.fr/wws/subscribe/rt_neurocomp</a>Ensemble, renforçons l'excellence française en <a href="https://neuromatch.social/tags/NeurosciencesComputationnelles" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NeurosciencesComputationnelles</a> ! <a href="https://neuromatch.social/tags/Recherche" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Recherche</a> <a href="https://neuromatch.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Neuroscience</a> <a href="https://neuromatch.social/tags/CNRS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CNRS</a> <a href="https://neuromatch.social/tags/Science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Science</a> <a href="https://neuromatch.social/tags/IA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#IA</a> <a href="https://neuromatch.social/tags/IntelligenceArtificielle" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#IntelligenceArtificielle</a>

NeurofrontiersA 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. 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. Feedback is welcome, especially from fellow non-math converts. <a href="https://neurofrontiers.blog/building-a-virtual-neuron-2/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://neurofrontiers.blog/building-a-virtual-neuron-2/</a><a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputationalNeuroscience</a> <a href="https://neuromatch.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://neuromatch.social/tags/hodgkinHuxleyModel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#hodgkinHuxleyModel</a> <a href="https://neuromatch.social/tags/math" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#math</a> <a href="https://neuromatch.social/tags/biophysics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#biophysics</a> From: <a href="https://neuromatch.social/@neurofrontiers" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@neurofrontiers</a> <a href="https://neuromatch.social/@neurofrontiers/114150087773204813" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://neuromatch.social/@neurofrontiers/114150087773204813</a>

Dan GoodmanHow 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.New preprint from <a href="https://mastodon.social/@yang_chu" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@yang_chu</a>. <a href="https://arxiv.org/abs/2001.10605" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://arxiv.org/abs/2001.10605</a>Thread below 👇<a href="https://neuromatch.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuroscience</a> <a href="https://neuromatch.social/tags/computationalneuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#computationalneuroscience</a> <a href="https://neuromatch.social/tags/compneuro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#compneuro</a> <a href="https://neuromatch.social/tags/compneurosci" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#compneurosci</a>

El Duvelle NeuroI keep going back to this question about <a href="https://neuromatch.social/tags/TemporalCreditAssignment" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TemporalCreditAssignment</a> and <a href="https://neuromatch.social/tags/HippocampalReplay" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#HippocampalReplay</a>: 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?<a href="https://neuromatch.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Neuroscience</a> <a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputationalNeuroscience</a> <a href="https://neuromatch.social/tags/DecisionMaking" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DecisionMaking</a> <a href="https://neuromatch.social/tags/Hippocampus" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Hippocampus</a>

Dan GoodmanPreview of the talk I'm giving on Friday. <a href="https://neuromatch.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuroscience</a> <a href="https://neuromatch.social/tags/CompNeuro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CompNeuro</a> <a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputationalNeuroscience</a>

NeurofrontiersWhen 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. 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. 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.<a href="https://neurofrontiers.blog/building-a-virtual-neuron-1/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://neurofrontiers.blog/building-a-virtual-neuron-1/</a><a href="https://neuromatch.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuroscience</a> <a href="https://neuromatch.social/tags/math" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#math</a> <a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputationalNeuroscience</a> <a href="https://neuromatch.social/tags/tutorial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#tutorial</a> <a href="https://neuromatch.social/tags/academia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#academia</a>

Ankur Sinha "FranciscoD"<a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NeuroML</a> is participating in <a href="https://fosstodon.org/tags/GSoC2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GSoC2025</a> again this year under <a href="https://neuromatch.social/@INCF" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@INCF</a> . We're looking for people with some experience of <a href="https://fosstodon.org/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputationalNeuroscience</a> to work on developing <a href="https://fosstodon.org/tags/standardised" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#standardised</a> biophysically detailed computational models using <a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NeuroML</a> <a href="https://fosstodon.org/tags/PyNN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyNN</a> and <a href="https://fosstodon.org/tags/OpenSourceBrain" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OpenSourceBrain</a>. 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.<a href="https://docs.neuroml.org/NeuroMLOrg/OutreachTraining.html#google-summer-of-code" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://docs.neuroml.org/NeuroMLOrg/OutreachTraining.html#google-summer-of-code</a> CC <a href="https://fosstodon.org/tags/AcademicChatter" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AcademicChatter</a>

Dan GoodmanI'm giving an online talk starting in 15m (as part of UCL's NeuroAI series).It's on neural architectures and our current line of research trying to figure out what they might be good for (including some philosophy: what might an answer to this question even look like?).Sign up (free) at this link to get the zoom link:<a href="https://www.eventbrite.co.uk/e/ucl-neuroai-talk-series-tickets-1189972031379?utm-campaign=social&utm-content=attendeeshare&utm-medium=discovery&utm-term=listing&utm-source=cp&aff=ebdsshcopyurl" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.eventbrite.co.uk/e/ucl-neuroai-talk-series-tickets-1189972031379?utm-campaign=social&utm-content=attendeeshare&utm-medium=discovery&utm-term=listing&utm-source=cp&aff=ebdsshcopyurl</a><a href="https://neuromatch.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuroscience</a> <a href="https://neuromatch.social/tags/compneuro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#compneuro</a> <a href="https://neuromatch.social/tags/computationalneuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#computationalneuroscience</a> <a href="https://neuromatch.social/tags/neuroai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuroai</a>

El Duvelle NeuroWith the current situation in the <a href="https://neuromatch.social/tags/US" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#US</a>, several of my former colleagues there are looking for a <a href="https://neuromatch.social/tags/PostDocJob" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PostDocJob</a> in <a href="https://neuromatch.social/tags/Europe" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Europe</a>, to do <a href="https://neuromatch.social/tags/BehaviouralNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#BehaviouralNeuroscience</a> or <a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputationalNeuroscience</a> in <a href="https://neuromatch.social/tags/SpatialCognition" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SpatialCognition</a> (or adjacent). Lots of hashtags I know..Do you know a <a href="https://neuromatch.social/tags/EU" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#EU</a> or <a href="https://neuromatch.social/tags/UK" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#UK</a> <a href="https://neuromatch.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Neuroscience</a> lab looking to hire a postdoc in these fields? Let me know and I'll pass it on to them!Edit: adding <a href="https://neuromatch.social/tags/RodentResearch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RodentResearch</a> and <a href="https://neuromatch.social/tags/humanresearch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#humanresearch</a> for the species concerned (in this case)

Dan GoodmanCome along to my (free, online) UCL NeuroAI talk next week on neural architectures. What are they good for? All will finally be revealed and you'll never have to think about that question again afterwards. Yep. Definitely that.🗓️ Wed 12 Feb 2025 ⏰ 2-3pm GMT ℹ️ Details and registration: <a href="https://www.eventbrite.co.uk/e/ucl-neuroai-talk-series-tickets-1216638381149" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.eventbrite.co.uk/e/ucl-neuroai-talk-series-tickets-1216638381149</a><a href="https://neuromatch.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuroscience</a> <a href="https://neuromatch.social/tags/CompNeuro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CompNeuro</a> <a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputationalNeuroscience</a> <a href="https://neuromatch.social/tags/NeuroAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NeuroAI</a>

Neuromatch🚀 Neuromatch Academy 2025 is coming! 🚀📢 Key Dates: 📍 Feb 24 – Applications Open! 📍 Mar 23 – Deadline (Midnight in your timezone) 📍 Mid-April – Decisions Announced 📍 Early May – Enrollment DeadlineJoin a global community & dive into Computational Neuroscience, Deep Learning, Comp Tools for Climate Science, or NeuroAI! Don’t miss out—apply & tag a friend! 🌍✨<a href="https://neuromatch.social/tags/NMA2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NMA2025</a> <a href="https://neuromatch.social/tags/AIForAll" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AIForAll</a> <a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputationalNeuroscience</a> <a href="https://neuromatch.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DeepLearning</a>

Ankur Sinha "FranciscoD"We are very happy to provide a consolidated update on the <a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NeuroML</a> ecosystem in our <a href="https://fediscience.org/@eLife" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@eLife</a> paper, “The NeuroML ecosystem for standardized multi-scale modeling in neuroscience”: <a href="https://doi.org/10.7554/eLife.95135.3" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://doi.org/10.7554/eLife.95135.3</a><a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NeuroML</a> is a standard and software ecosystem for data-driven biophysically detailed <a href="https://fosstodon.org/tags/ComputationalModelling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputationalModelling</a> endorsed by the <a href="https://neuromatch.social/@INCF" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@INCF</a> and CoMBINE, and includes a large community of users and software developers. <a href="https://fosstodon.org/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Neuroscience</a> <a href="https://fosstodon.org/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputationalNeuroscience</a> <a href="https://fosstodon.org/tags/ComputationalModelling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputationalModelling</a> 1/x

Dan GoodmanWhat's the right way to think about modularity in the brain? This devilish 😈 question is a big part of my research now, and it started with this paper with <a href="https://neuromatch.social/@GabrielBena" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@GabrielBena</a> finally published after the first preprint in 2021! <a href="https://www.nature.com/articles/s41467-024-55188-9" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.nature.com/articles/s41467-024-55188-9</a>We know the brain is physically structured into distinct areas ("modules"?). We also know that some of these have specialised function. But is there a necessary connection between these two statements? What is the relationship - if any - between 'structural' and 'functional' modularity?TLDR if you don't want to read the rest: there is no necessary relationship between the two, although when resources are tight, functional modularity is more likely to arise when there's structural modularity. We also found that functional modularity can change over time! Longer version follows.<a href="https://neuromatch.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Neuroscience</a> <a href="https://neuromatch.social/tags/CompNeuro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CompNeuro</a> <a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputationalNeuroscience</a>

Dan GoodmanNew preprint! With Swathi Anil and <a href="https://neuromatch.social/@marcusghosh" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@marcusghosh</a>.If you want to get the most out of a multisensory signal, you should take it's temporal structure into account. But which neural architectures do this best? 🧵👇<a href="https://www.biorxiv.org/content/10.1101/2024.12.19.629348v1" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.biorxiv.org/content/10.1101/2024.12.19.629348v1</a><a href="https://neuromatch.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuroscience</a> <a href="https://neuromatch.social/tags/computationalneuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#computationalneuroscience</a> <a href="https://neuromatch.social/tags/compneuro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#compneuro</a>

INCFAre you interested in a masters or PhD in computational neuroscience? Don't miss <a href="https://bird.makeup/users/bccn_berlin" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@bccn_berlin</a>'s hybrid event!🧠 International graduate program(s) computational neuroscience 📅 29-Jan-2025, 15-18 CET 📍 BCCN Lecture hall & ZoomLearn more & register: bit.ly/4h0zj9y<a href="https://neuromatch.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuroscience</a> <a href="https://neuromatch.social/tags/neuroinformatics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuroinformatics</a> <a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputationalNeuroscience</a>

El Duvelle NeuroPlease share these 2 PhD positions in <a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputationalNeuroscience</a> co-supervised by Dr. Elisa Massi <a href="https://neuromatch.social/tags/ETIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ETIS</a> Lab -- CY Cergy Paris Université (France):They both start from September 2025, but the application deadline is on the 30th of January 2025 <ol><li>SMaRT-RL: Stress & Hippocampal Replay in Reinforcement Learning: <a href="https://dim-cbrains.fr/en/phd-program/dim-cbrains?search=canamero" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://dim-cbrains.fr/en/phd-program/dim-cbrains?search=canamero</a></li><li>SYSNEMEHISPIN: Memory Formation with Spiking Neural Models: <a href="https://www.dim-cbrains.fr/en/phd-program/dim-cbrains?search=manos" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.dim-cbrains.fr/en/phd-program/dim-cbrains?search=manos</a></li></ol>Interested candidates can apply after their registration on the DIM C-BRAINS platform: <a href="https://dim-cbrains.fr/en/platform/login" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://dim-cbrains.fr/en/platform/login</a> These are funded for 3 years, the normal PhD duration in France.These scholarships aim at enhancing international mobility and are reserved for candidates that have recently studied or worked outside France.<a href="https://neuromatch.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Neuroscience</a> <a href="https://neuromatch.social/tags/PhDPosition" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PhDPosition</a> <a href="https://neuromatch.social/tags/FindAPhD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FindAPhD</a>

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