Fitting state space model to RNNs does a really good job (capturing like 90% of the variance)

To understand RNN computations, we globally linearized their hidden-unit activity using high-dimensional linear-Gaussian state-space models (SSMs).

High-d SSMs (latents dim > obs dim) have great performance, and are interpretable through tools from dynamical systems and control theory.

How do brain areas control each other? 🧠🎛️

✨In our NeurIPS 2025 Spotlight paper, we introduce a data-driven framework to answer this question using deep learning, nonlinear control, and differential geometry.🧵⬇️

Introducing Neuroevolution: Harnessing Creativity in AI Agent Design A new book on neuroevolution that demonstrates how evolutionary search can create AI systems capable of creativity, adaptation, and continual improvement

Neuroevolution book:

www.cognizant.com/us/en/ai-lab...

Title slide: distinct modes of generalization from parameters and context and two paths to bridge the gap

I was honored to speak at Princeton’s symposium on The Physics of John Hopfield: Learning & Intelligence this week. I sketched out a perspective that ties together some of our recent work on ICL vs. parametric learning, and some possible links to hippocampal replay: 1/

📢 The full programme for the 2nd Workshop on Biological Control Systems (WBCS 2025) is out!
🗓️ 19 Nov 2025 | Online across time zones
🔗 Programme & info: biocontrolseminars.org/workshop-2025

pcts.princeton.edu/events/2025/...

Extropic | Home Building thermodynamic computing hardware that is radically more energy efficient than GPUs.

At the end of the talk addressing scaling they seem to indicate a role for their architecture as a Gibbs sampling pipeline/seed for a GAN running (deterministically) on GPU

extropic.ai

YouTube video by Extropic Making AI Way More Energy Efficient | Extropic CTO

This talk on Extropic’s thermodynamic computing approach has a nice discussion of ML on GPUs versus their approach and the detail of the latter leveraging transistor noise for probability distribution sampling

youtu.be/dRuhl6MLC78

www.newton.ac.uk/event/scl/

www.birs.ca/events/2025/...

The missing half of the neurodynamical systems theory Bifurcations—an underexplored concept in neuroscience—can help explain how small differences in neural circuits give rise to entirely novel functions.

Bifurcations—an underexplored concept in neuroscience—can help explain how small differences in neural circuits give rise to entirely novel functions, writes Xiao-Jing Wang.

#neuroskyence

www.thetransmitter.org/neural-dynam...

Trick or treat?

🎙️ New episode! We travel back to 19th-century Russia to meet Lyapunov, the mathematician who gave science the language of stability. From his friendship with Chebyshev to a life marked by devotion and tragedy, his 1892 thesis still shapes how we understand dynamics, uncertainty, and control today.

@andykeller.bsky.social @kempnerinstitute.bsky.social presented “Flow Equivariant Cybernetics”, a blueprint for agents that learn through continuous feedback with their environment.

This year’s meeting will bring together leading researchers in #neuroscience, #robotics, #machinelearning, #controltheory, and #theoreticalneuroscience to explore how behaviour and intelligence emerge from complex feedback loops linking brains, bodies, and environments.

YouTube video by Antikythera What is Intelligence?

Great talk (form and content) to accompany the book:

youtu.be/gs38tMxZseA

🚦 New episode! Legendary traffic-control pioneer Markos Papageorgiou (Technical University of Crete) joins us to discuss how intelligent control algorithms help cut congestion, reduce CO₂ emissions, and keep cities moving for millions every day! 😮

Neuromorphic Simulation of Drosophila Melanogaster Brain Connectome on Loihi 2 We demonstrate the first-ever nontrivial, biologically realistic connectome simulated on neuromorphic computing hardware. Specifically, we implement the whole-brain connectome of the adult Drosophila ...

We put the FlyWire connectome on the Loihi 2 neuromorphic platform

🤖🧠🧪🪰

arxiv.org/abs/2508.16792

📢Join us for our online seminar tomorrow Tuesday Aug 26 at 11am ET (5pm CET)

Frank Britto Bisso from Carnegie Mellon University will present "Programming genetic circuits that operate as neural networks"

As always more information on our website biocontrolseminars.org

Traveling waves exist and provide efficient solutions to fundamental computational problems. It seems likely that evolution embraced them.
doi.org/10.48550/arX...
#neuroscience

🎙️ New episode! Cosimo takes us inside the fascinating world of soft robotics 🤖🐙 Compliance over rigidity, shape as intelligence, and why underactuation may actually be a feature — unmissable! 😄

New preprint!

Why are long-range connectomic interactions in the cortex dominant in shaping dynamics in some experiments but apparently negligible in others?

We (w/ R Maran, @elimuller.bsky.social) address this question by studying a new hybrid model of cortical dynamics.

arxiv.org/abs/2506.19800

The detailed schedule for the #BernsteinConference is now available on our website. Check out the Invited Talks and Contributed Talks and start planning your conference visit! 👉 bernstein-network.de/bernstein-co...

#BernsteinNetwork #CompNeuro

CoRL 2025 - Program Sep 27: Workshops Sep 28 - 30: Main conference [Main conference paper decisions (backup link)] Scroll down for the Main Conference Program and Session Assignment

2025 Conference on Robot Learning program

www.corl.org/program

cnd.northwestern.edu/neurocomputa...

Our piece on the emerging field of NeuroAI, with Claudia Clopath, in Nat. Rev. Neuroscience:

rdcu.be/ezLlY

Characterizing control between interacting subsystems with deep Jacobian estimation Biological function arises through the dynamical interactions of multiple subsystems, including those between brain areas, within gene regulatory networks, and more. A common approach to understanding...

arxiv.org/abs/2507.01946

🔄 Updated Arxiv Paper

Title: Koopman-based control of nonlinear systems with closed-loop guarantees
Authors: Robin Str\"asser, Julian Berberich, Manuel Schaller, Karl Worthmann, Frank Allg\"ower

Read more: https://arxiv.org/abs/2411.10359

Congratulations to Sara A. Solla for receiving the Valentin Braitenberg Award for #ComputationalNeuroscience 2025! 🎉

The award ceremony and accompanying lecture will take place during the #BernsteinConference.

👉 bit.ly/4okssfz

#BernsteinNetwork

If those get sticky the PC can read it as an extended press and treat that as an intended interrupt. If it’s a toggle switch ignore that remark

That’s all I got, good luck