Delighted to talk at Brown about our self-supervised neuronal algorithm for modeling biological circuits—and challenging backprop along the way. Thanks to @leokoz8 for the kind invitation! youtu.be/AF3Uhrm__U4?...

Biological neurons cluster dynamical stimulus trajectories to predict what’s coming and infer what just happened. If you’re at NeurIPS, stop by our poster #2107 — on display now until 2pm

Interested in algorithmic neuron models and learning rules at the intersection of neuroscience, AI, dynamical systems, and control theory? Working towards a PhD in neuroscience, physics, EE, or math? Apply for a summer internship with us: apply.interfolio.com/177775 At NeurIPS? Feel free to DM me.

Interested in algorithmic neuron models and learning rules at the intersection of neuroscience, AI, dynamical systems, and control theory? Have a PhD in neuroscience, physics, EE, or math? Consider joining us: apply.interfolio.com/173400 If you’re at NeurIPS, feel free to DM me.

An exciting opportunity!

Thanks @hadivafaii.bsky.social for the invitation! x.com/hadivafaii/s...

The brain survives by predicting the future. We suggest that single neurons cluster trajectories with common futures. But when observations are noisy, retrospection helps. Even individual neurons may look backward—like LGN lagged cells and olfactory bulb mitral cells: dailyneuron.com/how-sensory-...

Our poster in San Diego now at Society for Neuroscience

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...