Mitya
@chklovskii.bsky.social
📤 148
📥 231
📝 17
Reverse engineering the brain
reposted by
Mitya
Flatiron Institute
15 days ago
#FlatironCCN
researchers drew on lessons from neurobiology to enhance artificial systems using a new type of computational component that is more akin to real brains: https://www.simonsfoundation.org/biological-brains-inspire-a-new-building-block-for-artificial-neural-networks/
#science
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Biological Brains Inspire a New Building Block for Artificial Neural Networks
Biological Brains Inspire a New Building Block for Artificial Neural Networks on Simons Foundation
https://www.simonsfoundation.org/2026/01/26/biological-brains-inspire-a-new-building-block-for-artificial-neural-networks/
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ReSU: A novel biologically inspired computational primitive for dynamical data. Now at AAAI board 489
20 days ago
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reposted by
Mitya
François X. P. Bourassa
27 days ago
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. đź”—
doi.org/10.1103/q62z...
🧵🔽
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reposted by
Mitya
Eero Simoncelli
about 1 month ago
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/...
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Careers
Careers on Simons Foundation
https://www.simonsfoundation.org/flatiron/careers/?tab=job-openings¢er=ccn
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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
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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...
https://arxiv.org/abs/2512.23146
about 1 month ago
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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?...
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CCBS Seminar: “What does the neuron do? A self-supervised dynamical model for neuroscience and AI"
YouTube video by Brown University
https://youtu.be/AF3Uhrm__U4?si=AUj1WIT-u2n3aeJt
2 months ago
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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
2 months ago
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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.
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https://apply.interfolio.com/177775
2 months ago
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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.
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Apply - Interfolio {{$ctrl.$state.data.pageTitle}} - Apply - Interfolio
https://apply.interfolio.com/173400
2 months ago
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An exciting opportunity!
add a skeleton here at some point
3 months ago
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Thanks
@hadivafaii.bsky.social
for the invitation!
x.com/hadivafaii/s...
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https://x.com/hadivafaii/status/1991746966322311580?s=20
3 months ago
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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-...
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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.
https://dailyneuron.com/how-sensory-processing-works-neurons-predict-future/
3 months ago
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Our poster in San Diego now at Society for Neuroscience
3 months ago
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Fantastic and timely workshop! Many thanks to the organizers!
neuroai-multimodal-workshop.github.io
4 months ago
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The neuron as a controller and a few other thoughts. Thanks to the GreyMatters podcast for hosting me:
open.spotify.com/episode/1ox9...
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Neural Network: Dmitri Chklovskii
Spotify video
https://open.spotify.com/episode/1ox99INHuZ7H6E3lVmVsGd?si=nKt7dUoSQ3SojQBVTYrtUQ
5 months ago
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