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US<p><a href="https://www.europesays.com/us/41771/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">europesays.com/us/41771/</span><span class="invisible"></span></a> Data centers, artificial intelligence and jobs <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/CognitiveScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CognitiveScience</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/Computing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Computing</span></a> <a href="https://pubeurope.com/tags/letter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>letter</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/UnitedStates" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnitedStates</span></a> <a href="https://pubeurope.com/tags/UnitedStates" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnitedStates</span></a> <a href="https://pubeurope.com/tags/US" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>US</span></a> <a href="https://pubeurope.com/tags/WestSide" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WestSide</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>
Neuromatch<p>🧠 Impact Scholars Spotlight </p><p>Congrats to Dimitris Dimitriou, Mathilde Martin, Başak Akbaş, Sofia Zangila and mentor Jason Manley on the project 'V1 neurons encode behavioral state variables and their rate-of-change in mice' as part of the Neuromatch Impact Scholars program. </p><p>📽️ <a href="https://youtu.be/yT5KBakPnac?feature=shared" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">youtu.be/yT5KBakPnac?feature=s</span><span class="invisible">hared</span></a> <br>📃 <a href="https://zenodo.org/records/15390932" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">zenodo.org/records/15390932</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/ImpactScholars" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ImpactScholars</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>
Neuromatch<p>Be a <a href="https://neuromatch.social/tags/volunteer" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>volunteer</span></a> reviewer for the <a href="https://neuromatch.social/tags/ImpactScholars" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ImpactScholars</span></a> Program; a global initiative supporting early-career <a href="https://neuromatch.social/tags/ComputationalScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalScience</span></a> researchers.</p><p>🤓 Review short proposals in one of the following areas:</p><ul><li><a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a></li><li><a href="https://neuromatch.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepLearning</span></a></li><li><a href="https://neuromatch.social/tags/NeuroAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroAI</span></a></li><li>Computational Tools for <a href="https://neuromatch.social/tags/ClimateScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ClimateScience</span></a></li></ul><p>🗓️ Reviews take place between Sept 3–17<br>⏱️ ~5 hrs/week </p><p>Your time can help share someone’s scientific journey! <br>➡️ Learn more &amp; sign up to volunteer: <a href="https://neuromatch.io/volunteer/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">neuromatch.io/volunteer/</span><span class="invisible"></span></a></p>
Ankur Sinha "FranciscoD"<p>A new release of <a href="https://fosstodon.org/tags/PyNeuroML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PyNeuroML</span></a> is available. Please update to get the latest fixes and features. <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/ComputationalModelling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalModelling</span></a> <a href="https://fosstodon.org/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> </p><p>```<br>pip install --upgrade pyneuroml<br>```</p>
Ankur Sinha "FranciscoD"<p>If you're seeing your <a href="https://fosstodon.org/tags/NEST" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NEST</span></a> simulator builds fail recently, it's because of a new <a href="https://fosstodon.org/tags/Cython" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Cython</span></a> release:</p><p><a href="https://github.com/nest/nest-simulator/issues/3495" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/nest/nest-simulator</span><span class="invisible">/issues/3495</span></a></p><p>Workaround: fix `cython&lt;3.1.0` for the moment (until new NEST releases with the fix are made)</p><p><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/ComputationalModelling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalModelling</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/AcademicChatter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AcademicChatter</span></a></p>
Fabrizio Musacchio<p>🧠 New <a href="https://sigmoid.social/tags/preprint" class="mention hashtag" rel="tag">#<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="tag">#<span>plasticity</span></a> rule quadruplets that stabilize <a href="https://sigmoid.social/tags/RecurrentSpikingNetworks" class="mention hashtag" rel="tag">#<span>RecurrentSpikingNetworks</span></a> — and incidentally support <a href="https://sigmoid.social/tags/memory" class="mention hashtag" rel="tag">#<span>memory</span></a> functions like novelty detection, replay, &amp; contextual prediction. A striking case of function emerging from stability.</p><p>📄 <a href="https://doi.org/10.1101/2025.05.28.656584" target="_blank" rel="nofollow noopener" translate="no"><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="tag">#<span>Neuroscience</span></a> <a href="https://sigmoid.social/tags/Plasticity" class="mention hashtag" rel="tag">#<span>Plasticity</span></a> <a href="https://sigmoid.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="tag">#<span>ComputationalNeuroscience</span></a> <a href="https://sigmoid.social/tags/CompNeuro" class="mention hashtag" rel="tag">#<span>CompNeuro</span></a> <a href="https://sigmoid.social/tags/SNN" class="mention hashtag" rel="tag">#<span>SNN</span></a> <a href="https://sigmoid.social/tags/SpikingNeurons" class="mention hashtag" rel="tag">#<span>SpikingNeurons</span></a></p>
Neuromatch<p>At Neuromatch Academy &amp; Climatematch Academy, we’re not just running courses. Neuromatch is investing in the next generation of computational scientists, changemakers, &amp; interdisciplinary thinkers.</p><p>As part of this mission, we offer Professional Development sessions that give our students &amp; 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="tag">#<span>Italian</span></a> Network of <a href="https://sigmoid.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="tag">#<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/" target="_blank" rel="nofollow noopener" translate="no"><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="tag">#<span>CompNeuro</span></a> <a href="https://sigmoid.social/tags/Neuroscience" class="mention hashtag" rel="tag">#<span>Neuroscience</span></a></p>
Ankur Sinha "FranciscoD"<p>In the next version, 0.6.6, all component classes in the <a href="https://fosstodon.org/tags/libNeuroML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>libNeuroML</span></a> <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> API gain a quick method to list the parameters of their model objects. So, if you load a <a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroML</span></a> file/model, you can easily print the parameters of the different model entities. See the test in the pull request for a quick example:</p><p><a href="https://github.com/NeuralEnsemble/libNeuroML/pull/208/files" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/NeuralEnsemble/libN</span><span class="invisible">euroML/pull/208/files</span></a></p><p><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/AcademicChatter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AcademicChatter</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/FAIR" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FAIR</span></a></p>
Neuromatch<p>Check out the <a href="https://neuromatch.social/tags/NeuroAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroAI</span></a> projects from the Impact Scholars Program! <a href="https://airtable.com/appbxcAKe1D5c5xwY/tblA6aWdM4mVjXIqH/viwaYt2Hk85zFUyiM" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">airtable.com/appbxcAKe1D5c5xwY</span><span class="invisible">/tblA6aWdM4mVjXIqH/viwaYt2Hk85zFUyiM</span></a></p><p>🤓 Learn more about: </p><ul><li>Biological Connectivity Patterns as a Blueprint for Efficient Neural Architectures in Reinforcement Learning</li><li>How <a href="https://neuromatch.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> Learns to Move like Us</li><li>Dynamical Similarity in Multitasking RNNs: Identifying Shared Motifs Across Task Periods</li><li>How Machines Learn to Think in Order</li></ul><p><a href="https://neuromatch.social/tags/ImpactScholars" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ImpactScholars</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/Innovation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Innovation</span></a> <a href="https://neuromatch.social/tags/Neuromatch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuromatch</span></a> <a href="https://neuromatch.social/tags/AIforGood" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIforGood</span></a> <a href="https://neuromatch.social/tags/MachineLearningResearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearningResearch</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>
Laurent Perrinet<p>🧠 Nouveau Réseau Français De Neurosciences Computationnelles !🧠</p><p>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" target="_blank">#<span>NeurosciencesComputationnelles</span></a> pour faciliter :</p><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><p>🔍 Vous travaillez en <a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> sur le territoire français ? Que vous soyez chercheur·e confirmé·e, post-doctorant·e, doctorant·e ou étudiant·e, rejoignez notre communauté !</p><p>📝 Inscrivez-vous à notre liste de diffusion pour recevoir les actualités, événements et opportunités :</p><p>➡️ <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>Ensemble, renforçons l'excellence française en <a href="https://neuromatch.social/tags/NeurosciencesComputationnelles" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeurosciencesComputationnelles</span></a> !<br><a href="https://neuromatch.social/tags/Recherche" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Recherche</span></a> <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/CNRS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CNRS</span></a> <a href="https://neuromatch.social/tags/Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Science</span></a> <a href="https://neuromatch.social/tags/IA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IA</span></a> <a href="https://neuromatch.social/tags/IntelligenceArtificielle" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IntelligenceArtificielle</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>
Neuromatch<p>What happens after Neuromatch Academy?<br>Meet our Impact Scholars 🤓</p><p>22 mini-seminars from early-career scientists across NeuroAI, DL, Climate, and more.</p><p>From data to real-world impact!</p><p>➡️ Watch here: <a href="https://youtube.com/playlist?list=PLkBQOLLbi18MXV08BfKI4-5pfpcaAHpD7&amp;feature=shared" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">youtube.com/playlist?list=PLkB</span><span class="invisible">QOLLbi18MXV08BfKI4-5pfpcaAHpD7&amp;feature=shared</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/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepLearning</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/NeuroAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroAI</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>
Neuromatch<p>Don't miss your chance to be part of Neuromatch Academy Courses—a one-of-a-kind learning experience where you'll dive into computational neuroscience, machine learning, and data science with expert mentors and a global community! 🌎</p><p>🔔 Last date to apply: March 23rd<br>💡 You automatically lose the chances you don’t take—so take yours NOW!</p><p>📌 Sign up today: <a href="https://neuromatch.io/courses/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">neuromatch.io/courses/</span><span class="invisible"></span></a> </p><p><a href="https://neuromatch.social/tags/Neuromatch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuromatch</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/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</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/NeuroscienceEducation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroscienceEducation</span></a></p>