Mitya
chklovskii.bsky.social
Mitya
@chklovskii.bsky.social
Reverse engineering the brain
ReSU: A novel biologically inspired computational primitive for dynamical data. Now at AAAI board 489
January 23, 2026 at 4:02 AM
Reposted by Mitya
Why do we stop smelling odors that linger? In our new @prxlife.bsky.social paper with @pfrancois.bsky.social, @gautamreddy.bsky.social, and Massimo Vergassola, we develop a manifold learning theory of this olfactory habituation process in fluctuating environments.
🔗 doi.org/10.1103/q62z...
🧵🔽
January 16, 2026 at 5:54 PM
Reposted by Mitya
Joint junior faculty position in Computational Neuroscience, between Ctr for Computational Neuroscience at @flatironinstitute.org and the CUNY Graduate Center @thegraduatecenter.bsky.social . Application deadline: 16 Jan 2026!

www.simonsfoundation.org/flatiron/car...
cuny.jobs/new-york-ny/...
Careers
Careers on Simons Foundation
www.simonsfoundation.org
January 6, 2026 at 3:14 AM
Move over ReLU 🚀
Meet **ReSU** (Rectified Spectral Unit): a biologically inspired, self-supervised unit for learning from dynamical data. A backprop-free multilayer ReSU network learns predictive features and recapitulates *Drosophila* vision.
To appear at AAAI: arxiv.org/abs/2512.23146
A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation
We introduce a biologically inspired, multilayer neural architecture composed of Rectified Spectral Units (ReSUs). Each ReSU projects a recent window of its input history onto a canonical direction ob...
arxiv.org
January 1, 2026 at 4:27 PM
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?...
CCBS Seminar: “What does the neuron do? A self-supervised dynamical model for neuroscience and AI"
YouTube video by Brown University
youtu.be
December 12, 2025 at 11:57 PM
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
December 4, 2025 at 7:15 PM
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.
apply.interfolio.com
December 2, 2025 at 11:55 PM
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.
Apply - Interfolio {{$ctrl.$state.data.pageTitle}} - Apply - Interfolio
apply.interfolio.com
December 2, 2025 at 11:18 PM
An exciting opportunity!
November 26, 2025 at 6:49 PM
x.com
November 23, 2025 at 10:36 PM
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-...
How Sensory Processing Works: Neurons May Predict the Future and Remember the Past - Daily Neuron
New research on sensory processing suggests neurons are self-supervised learners that group stimuli by common pasts or futures to make sense of the world.
dailyneuron.com
November 22, 2025 at 2:25 PM
Our poster in San Diego now at Society for Neuroscience
November 17, 2025 at 9:31 PM
Fantastic and timely workshop! Many thanks to the organizers! neuroai-multimodal-workshop.github.io
October 18, 2025 at 3:07 PM
The neuron as a controller and a few other thoughts. Thanks to the GreyMatters podcast for hosting me: open.spotify.com/episode/1ox9...
Neural Network: Dmitri Chklovskii
Spotify video
open.spotify.com
September 21, 2025 at 11:17 PM