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#computationalneuroscience

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Dan Goodman<p>Message for participants of the <a href="https://neuromatch.social/tags/SNUFA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SNUFA</span></a> 2025 spiking neural network workshop. We got almost 60 awesome abstract submissions, and we'd now like your help to select which ones should be offered talks. To take part, follow the "abstract voting" link at:</p><p><a href="https://snufa.net/2025/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">snufa.net/2025/</span><span class="invisible"></span></a></p><p>It should take &lt;15m. Thanks! ❤️</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/SpikingNeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SpikingNeuralNetworks</span></a> <a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a></p>
Philo Sophies<p>ZOOMPOSIUM with Ulrich Krohs: Biology of Consciousness – Are Qualia Scientifically Comprehensible?</p><p>The possibility of describing consciousness from a natural philosophical perspective.</p><p>💡 More information: <a href="https://philosophies.de/index.php/2025/08/05/biologie-des-bewusstseins/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">philosophies.de/index.php/2025</span><span class="invisible">/08/05/biologie-des-bewusstseins/</span></a></p><p>🎥 Full interview: <a href="https://open.spotify.com/episode/4xGrke1Od6VDZlNFBgWcZ3?si=DbjHeAk4TlOErq2qWtsehQ" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">open.spotify.com/episode/4xGrk</span><span class="invisible">e1Od6VDZlNFBgWcZ3?si=DbjHeAk4TlOErq2qWtsehQ</span></a></p><p><a href="https://techhub.social/tags/NaturalPhilosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NaturalPhilosophy</span></a> <a href="https://techhub.social/tags/Consciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Consciousness</span></a> <a href="https://techhub.social/tags/Philosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Philosophy</span></a> <a href="https://techhub.social/tags/UlrichKrohs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UlrichKrohs</span></a> <a href="https://techhub.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/Qualia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Qualia</span></a> <a href="https://techhub.social/tags/StructuralRealism" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>StructuralRealism</span></a> <a href="https://techhub.social/tags/Neurophilosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neurophilosophy</span></a> <a href="https://techhub.social/tags/Emergence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Emergence</span></a> <a href="https://techhub.social/tags/AGI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AGI</span></a> <a href="https://techhub.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> <a href="https://techhub.social/tags/FreeWill" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FreeWill</span></a> <a href="https://techhub.social/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Zoomposium</span></a></p>
Dan Goodman<p>Today is the last day for submissions to the free online SNUFA spiking neural network workshop! This is a great opportunity to present your work (hundreds of participants and sometimes thousands of YouTube views per talk), and abstract submission is easy (300 words). Do it now!</p><p><a href="https://snufa.net/2025/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">snufa.net/2025/</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/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> <a href="https://neuromatch.social/tags/SpikingNeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SpikingNeuralNetworks</span></a></p>
Dan Goodman<p>UK theoretical neuroscience workshop - Dec 16 in London. I'll be speaking at this alongside a load of other cool people. Come along! (It's free.)</p><p><a href="https://dpinotsis.wixsite.com/uk-theoretical-neuro" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">dpinotsis.wixsite.com/uk-theor</span><span class="invisible">etical-neuro</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/TheoreticalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TheoreticalNeuroscience</span></a></p>
Ankur Sinha "FranciscoD"<p>A lot of steps for starting new computational modelling projects in <a href="https://fosstodon.org/tags/NeuroML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroML</span></a> are repeatable and can be automated. So, I created a <a href="https://fosstodon.org/tags/Cookiecutter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Cookiecutter</span></a> template to quickstart these projects. It includes boilerplate code and implements lots of other recommended/best practices in model and software development. Feedback/suggestions welcome!</p><p><a href="https://ankursinha.in/2025/09/23/a-cookiecutter-template-to-quickstart-neuroml-modelling-projects.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">ankursinha.in/2025/09/23/a-coo</span><span class="invisible">kiecutter-template-to-quickstart-neuroml-modelling-projects.html</span></a></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/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://fosstodon.org/tags/Git" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Git</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/FAIR" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FAIR</span></a> <a href="https://fosstodon.org/tags/OpenScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenScience</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/SoftwareDevelopment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SoftwareDevelopment</span></a></p>
CSBJ<p>🧠 Are we on the brink of proving that the mind is a quantum machine?</p><p>🔗 Conscious active inference I: A quantum model naturally implements the path integral needed for real-time planning and control. Computational and Structural Biotechnology Journal, DOI: <a href="https://doi.org/10.1016/j.csbj.2025.09.017" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1016/j.csbj.2025.09</span><span class="invisible">.017</span></a></p><p>📚 CSBJ Quantum Biology &amp; Biophotonics: <a href="https://www.csbj.org/qbio" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">csbj.org/qbio</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/Consciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Consciousness</span></a> <a href="https://mastodon.social/tags/QuantumPhysics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>QuantumPhysics</span></a> <a href="https://mastodon.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroscience</span></a> <a href="https://mastodon.social/tags/CognitiveScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CognitiveScience</span></a> <a href="https://mastodon.social/tags/BrainResearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BrainResearch</span></a> <a href="https://mastodon.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://mastodon.social/tags/QuantumBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>QuantumBiology</span></a> <a href="https://mastodon.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a></p>
Dan Goodman<p>New preprint! What happens if you add neuromodulation to spiking neural networks and let them go wild with it? TLDR: it can improve performance especially in challenging sensory processing tasks.</p><p>Preprint:</p><p><a href="https://www.biorxiv.org/content/10.1101/2025.07.25.666748v1" 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">25.07.25.666748v1</span></a></p><p>Short explainer thread on Bluesky:</p><p><a href="https://bsky.app/profile/neural-reckoning.org/post/3lz4rihm2622e" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">bsky.app/profile/neural-reckon</span><span class="invisible">ing.org/post/3lz4rihm2622e</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/SpikingNeuralNetwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SpikingNeuralNetwork</span></a></p>
Dan Goodman<p>If you're interested in spiking neural networks, you should know about surrogate gradient descent and @fzenke.bsky.social's SPyTorch tutorial which shows just how easy it is to apply this method that's changing the whole field. Check out my paean below, published in <span class="h-card" translate="no"><a href="https://mastodon.social/@thetransmitter" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>thetransmitter</span></a></span></p><p><a href="https://www.thetransmitter.org/this-paper-changed-my-life/this-paper-changed-my-life-dan-goodman-on-a-paper-that-reignited-the-field-of-spiking-neural-networks/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">thetransmitter.org/this-paper-</span><span class="invisible">changed-my-life/this-paper-changed-my-life-dan-goodman-on-a-paper-that-reignited-the-field-of-spiking-neural-networks/</span></a> </p><p><a href="https://neuromatch.social/tags/SpikingNeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SpikingNeuralNetworks</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/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a></p>
Redish Lab<p>New preprint available!</p><p>Henri S. Chastain, A. D. Redish (2025). Multiple Decision-Making<br>Systems and the Common Currency Hypothesis. psyArxiv.<br><a href="https://osf.io/preprints/psyarxiv/75k6d_v1" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">osf.io/preprints/psyarxiv/75k6</span><span class="invisible">d_v1</span></a></p><p>In this just-released new preprint, we analyze the consequences of taking both the <a href="https://neuromatch.social/tags/neuroeconomic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroeconomic</span></a> theory of "Common Currency" and the <a href="https://neuromatch.social/tags/DecisionMaking" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DecisionMaking</span></a> theory of "Multiple decision systems" seriously from a <a href="https://neuromatch.social/tags/computationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>computationalNeuroscience</span></a> perspective and find that these theories interact and lead to a fascinating set of testable predictions.</p><p><a href="https://neuromatch.social/tags/psyarxiv" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>psyarxiv</span></a> <a href="https://neuromatch.social/tags/neuroecononomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroecononomics</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/DecisionMaking" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DecisionMaking</span></a></p>
Ankur Sinha "FranciscoD"<p>A short update on what I has had my attention over the past year.</p><p><a href="https://ankursinha.in/2025/09/12/2025-week-37-update.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">ankursinha.in/2025/09/12/2025-</span><span class="invisible">week-37-update.html</span></a></p><p><a href="https://fosstodon.org/tags/Research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Research</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/Fedora" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Fedora</span></a> <a href="https://fosstodon.org/tags/NeuroFedora" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroFedora</span></a> <a href="https://fosstodon.org/tags/Funding" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Funding</span></a> <a href="https://fosstodon.org/tags/Grants" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Grants</span></a> <a href="https://fosstodon.org/tags/AcademicLife" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AcademicLife</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/AcademicTwitter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AcademicTwitter</span></a> <a href="https://fosstodon.org/tags/FOSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FOSS</span></a></p>
jobRxiv<p>Computational modeling and high-density microelectrode array analysis forne<br>UC Davis Health </p><p>See the full job description on jobRxiv: <a href="https://jobrxiv.org/job/uc-davis-health-27778-computational-modeling-and-high-density-microelectrode-array-analysis-forne/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">jobrxiv.org/job/uc-davis-healt</span><span class="invisible">h-27778-computational-modeling-and-high-density-microelectrode-array-analysis-forne/</span></a></p><p><a href="https://mas.to/tags/3Dcellculture" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>3Dcellculture</span></a> <a href="https://mas.to/tags/Cellularneuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Cellularneuroscience</span></a> <a href="https://mas.to/tags/computationalneuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>computationalneuroscience</span></a> <a href="https://mas.to/tags/ScienceJobs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ScienceJobs</span></a> <a href="https://mas.to/tags/hiring" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>hiring</span></a> <a href="https://mas.to/tags/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>research</span></a><br><a href="https://jobrxiv.org/job/uc-davis-health-27778-computational-modeling-and-high-density-microelectrode-array-analysis-forne/?fsp_sid=2314" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">jobrxiv.org/job/uc-davis-healt</span><span class="invisible">h-27778-computational-modeling-and-high-density-microelectrode-array-analysis-forne/?fsp_sid=2314</span></a></p>
Dan Goodman<p>Is anarchist science possible?</p><p>As an experiment, we got together a large group of computational neuroscientists from around the world to work on a single project without top down direction. Read on to find out what happened.</p><p>The project started as a tutorial on a new technique at the <span class="h-card" translate="no"><a href="https://neuromatch.social/@CosyneMeeting" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>CosyneMeeting</span></a></span> 2022. We realised that the technique was easy and cheap for anyone to use with a lot of low hanging fruit.</p><p><a href="https://neural-reckoning.github.io/cosyne-tutorial-2022/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">neural-reckoning.github.io/cos</span><span class="invisible">yne-tutorial-2022/</span></a></p><p>At the tutorial we announced a 1-2 year open research project that anyone could join, starting from the materials of the tutorial, and a few starting questions we found interesting, but with no other constraints. We were inspired by the Polymath Project in mathematics.</p><p><a href="https://en.wikipedia.org/wiki/Polymath_Project" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">en.wikipedia.org/wiki/Polymath</span><span class="invisible">_Project</span></a></p><p>31 people contributed to the project, joining for monthly meetings to discuss progress. All code was publicly available throughout, and when we started writing up the work in progress was also fully public. You can see that version here: <a href="https://comob-project.github.io/snn-sound-localization/paper" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">comob-project.github.io/snn-so</span><span class="invisible">und-localization/paper</span></a></p><p>Not everyone who was involved made it to the paper (didn't respond or couldn't find contact details), and not all are on Mastodon, but authors include: <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> <span class="h-card" translate="no"><a href="https://fediscience.org/@TomasFiers" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>TomasFiers</span></a></span> <br><span class="h-card" translate="no"><a href="https://neuromatch.social/@GabrielBena" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>GabrielBena</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@rory" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>rory</span></a></span> </p><p>We used GitHub and Jupyter notebooks to coordinate development, with a website showing everyone's current code and results to make collaboration easier. We used <span class="h-card" translate="no"><a href="https://fosstodon.org/@mystmarkdown" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>mystmarkdown</span></a></span> and GitHub actions to automate this.</p><p><a href="https://comob-project.github.io/snn-sound-localization/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">comob-project.github.io/snn-so</span><span class="invisible">und-localization/</span></a></p><p>So how did it work out? Well, some things went well and others not so well. We published a paper with our results and reflections on the process. If you're interested in spiking neural networks, sound localisation, or anarchist science, check it out:</p><p><a href="https://www.eneuro.org/content/12/7/ENEURO.0383-24.2025" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">eneuro.org/content/12/7/ENEURO</span><span class="invisible">.0383-24.2025</span></a></p><p>Generally, the infrastructure we built worked well, as did the monthly meetings. Starting from the tutorial was a good decision because it gave everyone a common reference and meant they could easily get started.</p><p>However, the lack of direction meant that we didn't achieve very coherent results in the end. We don't think this is a catastrophic problem, but when we try again, this is something we'd like to address. If you have thoughts or would like to be involved, get in touch!</p><p>Ultimately, we didn't achieve a scientific breakthrough in this project, but we did show that without top down direction or any specific funding, we could organise a large group of scientists to work together and publish their research in a good journal. We think that's a hopeful sign for the future!</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/anarchism" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>anarchism</span></a> <a href="https://neuromatch.social/tags/science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>science</span></a></p>
Laurent Perrinet<p>🚀 Excited to share our new paper: </p><blockquote><p>"DynTex: A real-time generative model of dynamic naturalistic luminance textures"</p></blockquote><p>...now published in Journal of Vision!</p><p>🔹 Why it matters: Dynamic textures (e.g., fire, water, foliage) are everywhere, but modeling them in real-time has been a challenge. DynTex bridges this gap with a biologically inspired, efficient approach. </p><p>🔹 Key innovation: A generative model that captures the spatiotemporal statistics of natural scenes while running in real-time. </p><p>🔹 Applications: Computer vision, neuroscience, VR/AR, and more.📖 </p><p>Read it here: <a href="https://doi.org/10.1167/jov.25.11.2" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.1167/jov.25.11.2</span><span class="invisible"></span></a> </p><p>with Andrew Meso, Nikos Gekas, Jonathan Vacher, Pascal Mamassian and Guillaume Masson</p><p>More on: <a href="https://laurentperrinet.github.io/publication/meso-25/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">laurentperrinet.github.io/publ</span><span class="invisible">ication/meso-25/</span></a> </p><p><a href="https://neuromatch.social/tags/DynamicTextures" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DynamicTextures</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/ComputerVision" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputerVision</span></a> <a href="https://neuromatch.social/tags/GenerativeModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenerativeModels</span></a> <a href="https://neuromatch.social/tags/OpenScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenScience</span></a></p>
Philo Sophies<p><a href="https://techhub.social/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Zoomposium</span></a> with Dr. <a href="https://techhub.social/tags/Patrick" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Patrick</span></a> <a href="https://techhub.social/tags/Krau%C3%9F" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Krauß</span></a>: “Instructions for building <a href="https://techhub.social/tags/artificialconsciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificialconsciousness</span></a>”</p><p>Translating the various stages of <a href="https://techhub.social/tags/Damasio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Damasio</span></a> <a href="https://techhub.social/tags/theoryofconsciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>theoryofconsciousness</span></a> 1:1 into concrete <a href="https://techhub.social/tags/circuitdiagrams" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>circuitdiagrams</span></a> for <a href="https://techhub.social/tags/deeplearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>deeplearning</span></a>. To this end, strategies such as <a href="https://techhub.social/tags/feedforwardconnections" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>feedforwardconnections</span></a> and <a href="https://techhub.social/tags/recurrentconnections" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>recurrentconnections</span></a> in the form of <a href="https://techhub.social/tags/reinforcementlearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcementlearning</span></a> and <a href="https://techhub.social/tags/unsupervisedlearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>unsupervisedlearning</span></a> are used to simulate the <a href="https://techhub.social/tags/biologicalprocesses" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biologicalprocesses</span></a> of <a href="https://techhub.social/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuralnetworks</span></a>. </p><p>More at: <a href="https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">philosophies.de/index.php/2023</span><span class="invisible">/10/24/bauanleitung-kuenstliches-bewusstsein/</span></a></p><p>or: <a href="https://open.spotify.com/episode/0httDEYGoUGxJ6lHA03LEZ?si=BzmZn3EvQr6imSzUUKG8RQ" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">open.spotify.com/episode/0httD</span><span class="invisible">EYGoUGxJ6lHA03LEZ?si=BzmZn3EvQr6imSzUUKG8RQ</span></a></p><p><a href="https://techhub.social/tags/PatrickKrau%C3%9F" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PatrickKrauß</span></a> <a href="https://techhub.social/tags/PatrickKrauss" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PatrickKrauss</span></a> <a href="https://techhub.social/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Zoomposium</span></a> <a href="https://techhub.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://techhub.social/tags/Consciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Consciousness</span></a> <a href="https://techhub.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepLearning</span></a> <a href="https://techhub.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroscience</span></a> <a href="https://techhub.social/tags/Damasio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Damasio</span></a> <a href="https://techhub.social/tags/ArtificialConsciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialConsciousness</span></a> <a href="https://techhub.social/tags/NeuroscienceInspiredAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuroscienceInspiredAI</span></a> <a href="https://techhub.social/tags/CognitiveNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CognitiveNeuroscience</span></a> <a href="https://techhub.social/tags/Embodiment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Embodiment</span></a> <a href="https://techhub.social/tags/TuringTest" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TuringTest</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/ArtificialConsciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialConsciousness</span></a> <a href="https://techhub.social/tags/Ethics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Ethics</span></a> <a href="https://techhub.social/tags/AIrisks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIrisks</span></a> <a href="https://techhub.social/tags/MachineConsciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineConsciousness</span></a> <a href="https://techhub.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> <a href="https://techhub.social/tags/ReinforcementLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ReinforcementLearning</span></a> <a href="https://techhub.social/tags/UnsupervisedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnsupervisedLearning</span></a> <a href="https://techhub.social/tags/CognitiveComputing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CognitiveComputing</span></a> <a href="https://techhub.social/tags/ArtificialGeneralIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialGeneralIntelligence</span></a> <a href="https://techhub.social/tags/PhilosophyOfMind" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PhilosophyOfMind</span></a> <a href="https://techhub.social/tags/BlackBoxProblem" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BlackBoxProblem</span></a> <a href="https://techhub.social/tags/ExplainableAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ExplainableAI</span></a> <a href="https://techhub.social/tags/Neuroinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroinformatics</span></a> <a href="https://techhub.social/tags/DigitalMind" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DigitalMind</span></a> <a href="https://techhub.social/tags/FutureOfAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FutureOfAI</span></a></p>
Laurent Perrinet<p>🧠 Excited to share our latest research presented at <a href="https://neuromatch.social/tags/CNS2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CNS2025</span></a> in beautiful Firenze, Italy!</p><p>"Population decoding of visual motion direction in V1 marmoset monkey: effects of uncertainty"</p><p>Our work explores how populations of neurons in the primary visual cortex (V1) of marmoset monkeys encode visual motion direction, with a particular focus on understanding how uncertainty influences this neural decoding process.<br>Key highlights:</p><ul><li>Advanced population-level analysis of V1 neural responses to motion stimuli</li><li>Novel insights into how the brain handles uncertainty in visual motion processing</li><li>Marmoset model providing crucial translational insights for visual neuroscience</li></ul><p>This research contributes to our fundamental understanding of how the visual system processes motion information at the earliest stages of cortical processing, with important implications for both basic neuroscience and potential clinical applications.<br>Thank you to the CNS organizing committee for hosting such an inspiring conference in the stunning venue of Palazzo dei Congressi in Villa Vittoria! 🇮🇹</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/VisualNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VisualNeuroscience</span></a> <a href="https://neuromatch.social/tags/MotionProcessing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MotionProcessing</span></a> <a href="https://neuromatch.social/tags/CNS2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CNS2025</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/Research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Research</span></a> <a href="https://neuromatch.social/tags/MarmosetModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MarmosetModel</span></a> <a href="https://neuromatch.social/tags/V1" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>V1</span></a> <a href="https://neuromatch.social/tags/PopulationDecoding" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PopulationDecoding</span></a></p><p>Link to publication: <a href="https://laurentperrinet.github.io/publication/laine-25-cns/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">laurentperrinet.github.io/publ</span><span class="invisible">ication/laine-25-cns/</span></a></p><p>Want to learn more about uncertainty in the visual cortex? Check out our recent work published in Nature Communications Biology: <a href="https://laurentperrinet.github.io/publication//ladret-23" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">laurentperrinet.github.io/publ</span><span class="invisible">ication//ladret-23</span></a></p>
Philo Sophies<p>ZOOMPOSIUM with Ulrich Krohs: Biology of Consciousness – Are Qualia Scientifically Comprehensible?</p><p>The possibility of describing consciousness from a natural philosophical perspective.</p><p>💡 More information: <a href="https://philosophies.de/index.php/2025/08/05/biologie-des-bewusstseins/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">philosophies.de/index.php/2025</span><span class="invisible">/08/05/biologie-des-bewusstseins/</span></a><br>🎥 Full interview: <a href="https://youtu.be/W77QCB4AC2I" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/W77QCB4AC2I</span><span class="invisible"></span></a></p><p><a href="https://troet.cafe/tags/NaturalPhilosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NaturalPhilosophy</span></a> <a href="https://troet.cafe/tags/Consciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Consciousness</span></a> <a href="https://troet.cafe/tags/Philosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Philosophy</span></a> <a href="https://troet.cafe/tags/UlrichKrohs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UlrichKrohs</span></a> <a href="https://troet.cafe/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://troet.cafe/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://troet.cafe/tags/Qualia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Qualia</span></a> <a href="https://troet.cafe/tags/StructuralRealism" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>StructuralRealism</span></a> <a href="https://troet.cafe/tags/Neurophilosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neurophilosophy</span></a> <a href="https://troet.cafe/tags/Emergence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Emergence</span></a> <a href="https://troet.cafe/tags/AGI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AGI</span></a> <a href="https://troet.cafe/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> <a href="https://troet.cafe/tags/FreeWill" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FreeWill</span></a> <a href="https://troet.cafe/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Zoomposium</span></a></p>
Philo Sophies<p>ZOOMPOSIUM with Ulrich Krohs: Biology of Consciousness – Are Qualia Scientifically Comprehensible?</p><p>The possibility of describing consciousness from a natural philosophical perspective.</p><p>💡 More information: <a href="https://philosophies.de/index.php/2025/08/05/biologie-des-bewusstseins/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">philosophies.de/index.php/2025</span><span class="invisible">/08/05/biologie-des-bewusstseins/</span></a><br>🎥 Full interview: <a href="https://youtu.be/W77QCB4AC2I" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/W77QCB4AC2I</span><span class="invisible"></span></a></p><p><a href="https://planetearth.social/tags/NaturalPhilosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NaturalPhilosophy</span></a> <a href="https://planetearth.social/tags/Consciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Consciousness</span></a> <a href="https://planetearth.social/tags/Philosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Philosophy</span></a> <a href="https://planetearth.social/tags/UlrichKrohs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UlrichKrohs</span></a> <a href="https://planetearth.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://planetearth.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://planetearth.social/tags/Qualia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Qualia</span></a> <a href="https://planetearth.social/tags/StructuralRealism" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>StructuralRealism</span></a> <a href="https://planetearth.social/tags/Neurophilosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neurophilosophy</span></a> <a href="https://planetearth.social/tags/Emergence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Emergence</span></a> <a href="https://planetearth.social/tags/AGI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AGI</span></a> <a href="https://planetearth.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> <a href="https://planetearth.social/tags/FreeWill" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FreeWill</span></a> <a href="https://planetearth.social/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Zoomposium</span></a></p>
Philo Sophies<p>ZOOMPOSIUM with Ulrich Krohs: Biology of Consciousness – Are Qualia Scientifically Comprehensible?</p><p>The possibility of describing consciousness from a natural philosophical perspective.</p><p>💡 More information: <a href="https://philosophies.de/index.php/2025/08/05/biologie-des-bewusstseins/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">philosophies.de/index.php/2025</span><span class="invisible">/08/05/biologie-des-bewusstseins/</span></a><br>🎥 Full interview: <a href="https://youtu.be/W77QCB4AC2I" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/W77QCB4AC2I</span><span class="invisible"></span></a></p><p><a href="https://mastodon.world/tags/NaturalPhilosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NaturalPhilosophy</span></a> <a href="https://mastodon.world/tags/Consciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Consciousness</span></a> <a href="https://mastodon.world/tags/Philosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Philosophy</span></a> <a href="https://mastodon.world/tags/UlrichKrohs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UlrichKrohs</span></a> <a href="https://mastodon.world/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://mastodon.world/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.world/tags/Qualia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Qualia</span></a> <a href="https://mastodon.world/tags/StructuralRealism" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>StructuralRealism</span></a> <a href="https://mastodon.world/tags/Neurophilosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neurophilosophy</span></a> <a href="https://mastodon.world/tags/Emergence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Emergence</span></a> <a href="https://mastodon.world/tags/AGI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AGI</span></a> <a href="https://mastodon.world/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalNeuroscience</span></a> <a href="https://mastodon.world/tags/FreeWill" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FreeWill</span></a> <a href="https://mastodon.world/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Zoomposium</span></a></p>
Neurofrontiers<p>I finally had the chance to add a new computational modeling tutorial. Using the Hodgkin-Huxley model previously implemented, I'm talking about how to summarize information from simulated traces, and giving some small insights I've picked up along the way:</p><p><a href="https://neurofrontiers.blog/analyzing-a-virtual-neuron-part-1/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">neurofrontiers.blog/analyzing-</span><span class="invisible">a-virtual-neuron-part-1/</span></a></p><p>Not so sure if anyone has use for it, but I've found it quite cathartic to write down what I wish I knew when I first started learning.</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/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modeling</span></a> <a href="https://neuromatch.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> <a href="https://neuromatch.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataAnalysis</span></a> <a href="https://neuromatch.social/tags/learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>learning</span></a> <a href="https://neuromatch.social/tags/blaugust" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>blaugust</span></a> <a href="https://neuromatch.social/tags/blaugust2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>blaugust2025</span></a></p>
Elias MB Rau<p>For everyone who can not attend the CCN Conference this year in amsterdam, all keynote lectures can be streamed here:</p><p><a href="https://2025.ccneuro.org/keynote-lectures/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">2025.ccneuro.org/keynote-lectu</span><span class="invisible">res/</span></a></p><p>Full schedule with livestream links here:<br><a href="https://2025.ccneuro.org/schedule-of-events/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">2025.ccneuro.org/schedule-of-e</span><span class="invisible">vents/</span></a></p><p>First off, Nancy Kanwisher at 11.30 am (CET)</p><p>Edit: Not only keynotes but also symposia can be live streamed 🙂 </p><p><a href="https://synapse.cafe/tags/ccn2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ccn2025</span></a> <a href="https://synapse.cafe/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://synapse.cafe/tags/cognitivescience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cognitivescience</span></a> <a href="https://synapse.cafe/tags/computationalneuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>computationalneuroscience</span></a> <a href="https://synapse.cafe/tags/CompNeuro" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CompNeuro</span></a></p>