Thrilled to see our NeurIPS paper covered in the news—their explanation is spot-on. Thanks @dailyneuron.bsky.social ! dailyneuron.com/how-sensory-...

The main obstacle to meaningful brain simulation is the lack of a neuronal model that doesn't require countless biophysical parameters yet detailed enough to match population recordings and connectomics. Cracking this could supplant backprop and transform neuro-inspired AI.

To survive, the brain must predict the future. In a stochastic dynamical world, neurons may do this by grouping trajectories with similar futures—or similar pasts. We turn this intuition into a data-driven prediction algorithm grounded in neurophysiology: arxiv.org/pdf/2510.269...

Fantastic and timely workshop! Many thanks to the organizers! neuroai-multimodal-workshop.github.io

The neuron as a controller and a few other thoughts. Thanks to the GreyMatters podcast for hosting me: open.spotify.com/episode/1ox9...