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Reposted by Elliot Smith

Angela Radulescu @angelaradulescu.bsky.social · 17h

Curious how cognitive computational models might shed light on question in mental health? Come dive into hands-on tutorials, modeling, and clinical applications during our 3-day workshop 👾 🧠

Center for Computational Psychiatry @sinaiccp.bsky.social · 17h

⌛️ Only 3 days left to apply for the New York Computational Psychiatry Workshop (Nov 10–12)! Don’t miss your chance to learn about methods in computational psychiatry. Apply now!

👉 form.jotform.com/252448781112...
More info: bit.ly/nycpw2025

Please share & RT!

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Elliot Smith @neurosmith.bsky.social · 1d

Congrats!!!

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Elliot Smith @neurosmith.bsky.social · 4d

No way! 😏

Communications Sustainability @commssustain.nature.com · 4d

🏭 A recent @natcomms.nature.com study of 89 multinational firms finds no significant link between voluntarily offsetting emissions and decarbonization speed. @natureportfolio.nature.com #sustainability #decarbonization

www.nature.com/articles/s41...

The negligible role of carbon offsetting in corporate climate strategies - Nature Communications

This study of 89 multinational firms finds no significant link between voluntarily offsetting emissions and decarbonization speed. Firms spend little funds on carbon credits, and emission offsetting is not a central part of their climate strategies.

www.nature.com

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Reposted by Elliot Smith

Mark Ho @markkho.bsky.social · 4d

I'm recruiting grad students!! 🎓

The CoDec Lab @ NYU (codec-lab.github.io) is looking for PhD students (Fall 2026) interested in computational approaches to social cognition & problem solving 🧠

Applications through Psych (tinyurl.com/nyucp) are due Dec 1. Reach out with Qs & please repost! 🙏

codec lab

codec-lab.github.io

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Reposted by Elliot Smith

Kevin J. CREATURE @kevinjkircher.com · 6d

Sometimes I think about how from 1935-1975ish, Bell Labs produced an insane amount of revolutionary science and technology, including 11 Nobel Prizes, the transistor, UNIX, C, the laser, the solar cell, information theory, etc. The secret? Provide scientists with ample, steady, no-strings funding.

sites.stat.columbia.edu

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Neuroengineering @neuroengineering.bsky.social · 6d

Precision Neuroscience published their high-density ECoG in Nature Biomed. Eng.

The startup shows a 1,024-channel grid implanted through a cortical slit in pigs, and intraoperative neural recordings and stimulation in five humans at sub-mm resolution.

#neuroskyence @precisionneuro.bsky.social

Minimally invasive implantation of scalable high-density cortical microelectrode arrays for multimodal neural decoding and stimulation - Nature Biomedical Engineering

A 1,024-channel microelectrode array is delivered to the brain cortex via a minimally invasive incision in the skull and dura, and allows recording, stimulation and neural decoding across large portions of the brain in porcine models and human neurosurgical patients.

www.nature.com

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Elliot Smith @neurosmith.bsky.social · 13d

Awesome! Congrats, Marcin! 👏👏🙌

Reposted by Elliot Smith

Marcin Leszczynski @marcin-leszcz.bsky.social · 13d

1/3: What happens in the #brain when moving your eyes? Using closed-loop #EyeTracking with simultaneous intracranial #EEG in humans, we found that: *Saccades boost visual responses but reduce network connectivity. *Excitability changes and visual features are coded along the saccade–fixation cycle.

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Michael Beyeler @mbeyeler.bsky.social · 14d

👁️🧠 New preprint: We demonstrate the first data-driven neural control framework for a visual cortical implant in a blind human!

TL;DR Deep learning lets us synthesize efficient stimulation patterns that reliably evoke percepts, outperforming conventional calibration.

www.biorxiv.org/content/10.1...

Diagram showing three ways to control brain activity with a visual prosthesis. The goal is to match a desired pattern of brain responses. One method uses a simple one-to-one mapping, another uses an inverse neural network, and a third uses gradient optimization. Each method produces a stimulation pattern, which is tested in both computer simulations and in the brain of a blind participant with an implant. The figure shows that the neural network and gradient methods reproduce the target brain activity more accurately than the simple mapping.

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Elliot Smith @neurosmith.bsky.social · 24d

That’s beautiful 🥹 congrats!

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Elliot Smith @neurosmith.bsky.social · 24d

Huge congrats!!!

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Elliot Smith @neurosmith.bsky.social · 29d

This sounds super relevant. Which conference is that? Couldn’t find it with a cursory search

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Reposted by Elliot Smith

James Hyman @jamesmhyman.bsky.social · 29d

Really excited that our special collection generated from the last CPPC conference is in the Journal of Neuroscience. Check out this article for a preview of all the great work featured.

w/ @erinlrich.bsky.social @narayananlab.bsky.social and Jeremy Seamans

www.jneurosci.org/content/45/3...

Computational Properties of the Prefrontal Cortex

The term “prefrontal” appears to have been coined in the first volume of Brain in the context of describing the curious case of Phineas Gage, inspired by the skull anatomy of fish (Girard, 1851; Anon,...

www.jneurosci.org

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Elliot Smith @neurosmith.bsky.social · 29d

Looks awesome, congrats!

Reposted by Elliot Smith

Zoé Christenson Wick @zoechristensonwick.bsky.social · 29d

🚨New preprint alert🚨
We used closed-loop optogenetics to causally test the importance of inhibitory spike timing in network function and found that manipulating PV+ cell theta phase locking in the dentate gyrus can shift seizure susceptibility (both ways!)

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Reposted by Elliot Smith

Sam McDougle @actlab.bsky.social · Sep 8

New preprint from the lab! 🧠
Led by Juliana Trach, w/ Sophia Ou

Using fMRI, we discovered evidence for time-sensitive reward prediction errors (RPEs) in the human cerebellum.

Builds on, and extends, recent work in both rodents and NHPs

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Elliot Smith @neurosmith.bsky.social · Sep 8

Like who?

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