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#NeuralPopulation

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Fabrizio Musacchio<p><span class="h-card" translate="no"><a href="https://sigmoid.social/@juangallego" class="u-url mention">@<span>juangallego</span></a></span> just published a review on how <a href="https://sigmoid.social/tags/NeuralManifolds" class="mention hashtag" rel="tag">#<span>NeuralManifolds</span></a> go beyond being a convenient data representation – they reflect fundamental constraints on <a href="https://sigmoid.social/tags/NeuralPopulation" class="mention hashtag" rel="tag">#<span>NeuralPopulation</span></a> activity. Originating in mammalian BCI work (2014), these low-dimensional trajectories shape what neural patterns are learnable and expressible.</p><p>🌍 <a href="https://www.nature.com/articles/s41583-025-00919-0.epdf" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">nature.com/articles/s41583-025</span><span class="invisible">-00919-0.epdf</span></a></p><p><a href="https://sigmoid.social/tags/CompNeuro" class="mention hashtag" rel="tag">#<span>CompNeuro</span></a> <a href="https://sigmoid.social/tags/SystemsNeuroscience" class="mention hashtag" rel="tag">#<span>SystemsNeuroscience</span></a> <a href="https://sigmoid.social/tags/PopulationDynamics" class="mention hashtag" rel="tag">#<span>PopulationDynamics</span></a> <a href="https://sigmoid.social/tags/Neuroscience" class="mention hashtag" rel="tag">#<span>Neuroscience</span></a></p>
Fabrizio Musacchio<p>Preserved <a href="https://sigmoid.social/tags/NeuralPopulation" class="mention hashtag" rel="tag">#<span>NeuralPopulation</span></a> dynamics across animals performing similar <a href="https://sigmoid.social/tags/behaviour" class="mention hashtag" rel="tag">#<span>behaviour</span></a> – <a href="https://sigmoid.social/tags/preprint" class="mention hashtag" rel="tag">#<span>preprint</span></a> by Safaie et al. (2022)</p><p>🌍 <a href="https://www.biorxiv.org/content/10.1101/2022.09.26.509498v1" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">biorxiv.org/content/10.1101/20</span><span class="invisible">22.09.26.509498v1</span></a></p><p><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>
Fabrizio Musacchio<p>Nonlinear <a href="https://sigmoid.social/tags/manifolds" class="mention hashtag" rel="tag">#<span>manifolds</span></a> underlie <a href="https://sigmoid.social/tags/NeuralPopulation" class="mention hashtag" rel="tag">#<span>NeuralPopulation</span></a> activity during <a href="https://sigmoid.social/tags/behaviour" class="mention hashtag" rel="tag">#<span>behaviour</span></a> – new <a href="https://sigmoid.social/tags/preprint" class="mention hashtag" rel="tag">#<span>preprint</span></a> by Fortunato et al. (2023)</p><p>🌍 <a href="https://www.biorxiv.org/content/10.1101/2023.07.18.549575v2" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">biorxiv.org/content/10.1101/20</span><span class="invisible">23.07.18.549575v2</span></a></p><p><a href="https://sigmoid.social/tags/CompNeuro" class="mention hashtag" rel="tag">#<span>CompNeuro</span></a> <a href="https://sigmoid.social/tags/Neuroscoence" class="mention hashtag" rel="tag">#<span>Neuroscoence</span></a></p>
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