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<rss version="2.0"><channel><description>PhD student in computational &amp; theoretical neuroscience, with Wulfram Gerstner @ EPFL. Theories of computation via low-dimensional dynamics in recurrent neural networks.</description><link>https://bsky.app/profile/lpezon.bsky.social</link><title>@lpezon.bsky.social - Louis Pezon</title><item><link>https://bsky.app/profile/lpezon.bsky.social/post/3mpirz3a2hc2r</link><description>Both brains and RNNs can re-use components of computation across similar tasks or contexts.&#xA;But what exactly are those “shared components”? How can they be used to solve several tasks?&#xA;&#xA;We address these questions in a new preprint with @avm.bsky.social! &#xA;&#xA;Link:&#xA;https://www.biorxiv.org/content/10.64898/2026.06.23.733979v1</description><pubDate>30 Jun 2026 10:25 +0000</pubDate><guid isPermaLink="false">at://did:plc:2igsf33g7gmhecuyd24dmps6/app.bsky.feed.post/3mpirz3a2hc2r</guid></item><item><link>https://bsky.app/profile/lpezon.bsky.social/post/3mgxhfv64cs27</link><description>Presenting a poster tomorrow at Cosyne 26: &#xA;[3-033] Compositional computation via shared latent dynamics in low-rank RNNs.&#xA;&#xA;With @avm.bsky.social, we explore how RNNs can re-use the same dynamics across different tasks, and what it implies for their connectivity and neural activity.</description><pubDate>13 Mar 2026 17:38 +0000</pubDate><guid isPermaLink="false">at://did:plc:2igsf33g7gmhecuyd24dmps6/app.bsky.feed.post/3mgxhfv64cs27</guid></item><item><link>https://bsky.app/profile/lpezon.bsky.social/post/3mgfsmoac7c24</link><description>Excited to share our new paper to be published in Neuron!   &#xA;&#xA;With Valentin Schmutz @bio-emergent.bsky.social and Wulfram Gerstner @gerstnerlab.bsky.social, we explore how circuit structure in RNNs shapes network computation and single-neuron responses.&#xA; https://www.sciencedirect.com/science/article/pii/S0896627325010037</description><pubDate>06 Mar 2026 17:11 +0000</pubDate><guid isPermaLink="false">at://did:plc:2igsf33g7gmhecuyd24dmps6/app.bsky.feed.post/3mgfsmoac7c24</guid></item></channel></rss>