iiinova — where your digital self keeps evolving

Reposted by Mitya

David G. Clark @david-g-clark.bsky.social · 31/07/2026

This September, I will join the @flatironinstitute.org Center for Computational Neuroscience as a Group Leader, where I will launch the High-Dimensional Dynamics & Computation Group. Information for postdocs and grad students is forthcoming. I am grateful to my mentors who made this possible!

Exterior view of the Flatiron Institute in Manhattan

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Mitya @chklovskii.bsky.social · 22/05/2026

What do control theory and neuroscience have in common? Shared origins in cybernetics — and, lately, “poor cousin” status next to ML. To reconnect them, we’ve been organizing workshops at this interface, most recently at the Flatiron Institute. Thanks to all who joined!

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Reposted by Mitya

Simons Foundation @simonsfoundation.org · 25/04/2026

On his birthday, we're remembering our late co-founder Jim Simons — a true visionary in mathematics, investing and philanthropy. #science #math

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Mitya @chklovskii.bsky.social · 23/04/2026

A cautionary note on biological inference from connectome-constrained networks trained in supervised settings: model selection based on task performance alone does not reliably recover the true biological circuits or underlying mechanisms Led by @ckaraneen biorxiv.org/content/10.6...

biorxiv.org

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Mitya @chklovskii.bsky.social · 09/04/2026

Applications are open for the Junior Theoretical Neuroscientists Workshop, July 21–24, 2026, at the Center for Computational Neuroscience, @flatironinstitute.org. Apply by April 15, 2026. Acceptance includes travel, lodging, and meals: simonsfoundation.org/event/jrwork...

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Mitya @chklovskii.bsky.social · 13/03/2026

A biologically plausible algorithm for learning local predictive directions in nonlinear dynamical systems. Applied to natural videos, it learns both temporal and spatial filters that resemble those of retinal neurons. Cosyne poster 2-109, presented by Marco Zenari

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Mitya @chklovskii.bsky.social · 13/03/2026

Self-supervised learning from natural dynamical stimuli yields a circuit that resembles the Drosophila motion detector, reproducing both its directional selectivity and characteristic synaptic weight structure. By Abdelrahman Sharafeldin and Erik Schomburg at Cosyne poster 2-137

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Mitya @chklovskii.bsky.social · 12/03/2026

A more biologically plausible controller neuron model: ReLU emerges as the optimal solution to a reach–avoid, rather than stabilization, objective, solved with a multi-step policy in a potentially stochastic setting. Poster 1-142 at Cosyne presented by Abel Sagodi, happening now

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Mitya @chklovskii.bsky.social · 23/01/2026

ReSU: A novel biologically inspired computational primitive for dynamical data. Now at AAAI board 489

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Reposted by Mitya

François X. P. Bourassa @fxpbourassa.bsky.social · 16/01/2026

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... 🧵🔽

Schematic of the early olfactory circuit with local interneurons inhibiting projection neurons. Above local neurons, a simplified depiction of a curved background manifold with a new odor that has an orthogonal component to the manifold. The circuit receives a mixture of background and new odor (apple) and outputs the new odor only.

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Reposted by Mitya

Eero Simoncelli @eerosim.bsky.social · 06/01/2026

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/...

simonsfoundation.org

Careers

Careers on Simons Foundation

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Mitya @chklovskii.bsky.social · 01/01/2026

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

arxiv.org

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...

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Mitya @chklovskii.bsky.social · 12/12/2025

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?...

youtu.be

CCBS Seminar: “What does the neuron do? A self-supervised dynamical model for neuroscience and AI"

YouTube video by Brown University

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Mitya @chklovskii.bsky.social · 04/12/2025

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

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Mitya @chklovskii.bsky.social · 02/12/2025

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

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Mitya @chklovskii.bsky.social · 02/12/2025

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.com

Apply - Interfolio {{$ctrl.$state.data.pageTitle}} - Apply - Interfolio

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Mitya @chklovskii.bsky.social · 23/11/2025

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

x.com

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Mitya @chklovskii.bsky.social · 22/11/2025

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-...