𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝗯𝗿𝗮𝗶𝗻𝘀, 𝗮𝗴𝗮𝗶𝗻?? Biological systems unlike computers, but what does that mean? Join us in the Neuroscience & Philosophy Salon discussion with Romain Brette of his great book. July 9, noon (USA-EST) Open to all; registration required. umd.zoom.us/meeting/regi... #neuroskyence

I tracked every keyword in 22 years of Cosyne abstracts to map how computational neuroscience evolved — from Bayesian brains to neural manifolds to LLMs — and where it's heading next.

22 years of Brain Science: what CoSyNe tells us about the evolution of Neuroscience

Tracking the intellectual DNA of Computational and Systems Neuroscience through its flagship meeting

open.substack.com

If Hungary can get rid of their corrupt anti democratic menace, so can we! www.nytimes.com/2026/04/12/w...

Hungary’s Orban, Beacon to the Right, Concedes Election Defeat

nytimes.com

If you are at #cosyne2026 come see poster [2-152] Dynamical archetype analysis: Autonomous computation. Ábel Ságodi is presenting how you can compare dynamical systems at behaviorally relevant timescale while keeping the interpretability!

Are you at #cosyne2026 and looking for a postdoc position? CATNIP = Neural Dynamics Lab is hiring! catniplab.github.io/postdoc-hiri...

Excited to share the schedule for our COSYNE 2026 workshop, 'The Neural Code of Action Sequences,' happening on Monday, March 16. We hope you’ll join us! @cosynemeeting.bsky.social mpotta.github.io/action-seque...

Once you get past the first 5 minutes of me bumbling around clearly in need of media training, we settle into a nice groove talking about fitting mechanistic models, ML/AI for neuroscience, underconstrainedness vs. degeneracy, and its potential benefits for biology (plus some good chuckles).

Gaute Einevoll@gauteeinevoll.bsky.social · 5mo ago

Episode #38 in #TheoreticalNeurosciencePodcast: On extracting spiking network models from experiments - with Richard Gao @rdgao.bsky.social theoreticalneuroscience.no/thn38 How to fit spiking network models to experimental data when there is no unique parameter set giving the best fit.

New preprint from the lab! Ábel Ságodi developed a theory of approximating dynamical systems that goes beyond finite time. #theoreticalNeuroscience Follow @neurabel.bsky.social Universal Approximation Theorems for Dynamical Systems with Infinite-Time Horizon Guarantees. . arxiv.org/abs/2602.08640

Universal Approximation Theorems for Dynamical Systems with Infinite-Time Horizon Guarantees

Universal approximation theorems establish the expressive capacity of neural network architectures. For dynamical systems, existing results are limited to finite time horizons or systems with a global...

arxiv.org

Can we guarantee the behavior of an RNN to generalize well for infinite time? 🧠♾️ Similar to universal approximation theorems in deep nets, for systems that forget everything eventually, there are guarantees. We prove it for multistable systems! arxiv.org/abs/2602.08640 w/ @memming.bsky.social (1/6)

Can we guarantee the behavior of an RNN to generalize well for infinite time? 🧠♾️ Similar to universal approximation theorems in deep nets, for systems that forget everything eventually, there are guarantees. We prove it for multistable systems! arxiv.org/abs/2602.08640 w/ @memming.bsky.social (1/6)

“I didn’t expect so many people would be so risk-averse.”

We asked activists from authoritarian regimes what they wish they’d known sooner. Here’s what they said

Activists from Hungary, El Salvador and Turkey offer advice to the US about what they’ve learned about authoritarians

theguardian.com

Bike math is paying virtually nothing and getting a lot in return. Car math is selling your soul to waste your life in traffic and inhale kilograms of particulate matter.

💥Good news! You have now until 18 July to submit your abstract for the ⚪ Champalimaud Research Symposium 2025! 🏆 The three best posters and the best talk will be awarded a money prize! We’re looking forward to receiving your submissions 🙌 🔗 More information: symposium.fchampalimaud.science