iiinova — where your digital self keeps evolving

Reposted by Chen Jiang

Paul Masset @paulmasset.bsky.social · 12/03/2026

The lab will be presenting two posters at #cosyne2026 #cosyne26 on dopamine-based distributed RL and hippocampal coding from a population-geometry perspective! @zijingwu.bsky.social @chenjiang01.bsky.social #compneurosky #neuroskyence

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Reposted by Chen Jiang

Ann Huang @annhuang42.bsky.social · 24/11/2025

📍Excited to share that our paper was selected as a Spotlight at #NeurIPS2025! arxiv.org/pdf/2410.03972 It started from a question I kept running into: When do RNNs trained on the same task converge/diverge in their solutions? 🧵⬇️

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Reposted by Chen Jiang

Hadi Vafaii @hadivafaii.bsky.social · 10/11/2025

RL Debates 4: Adam "I literally measured value in the brain" Lowet Adam's talk covered a lot of ground — from his recent work on distributional RL (nature.com/articles/s41...) to a broader discussion of RL & the brain. 📽️ Watch the full meeting here: www.youtube.com/watch?v=Xe7B... 🧠🤖🧠📈

youtube.com

RL Debates 4: Adam "I literally measured value in the brain" Lowet

YouTube video by Sensorimotor AI

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Reposted by Chen Jiang

Mitchell Ostrow @neurostrow.bsky.social · 10/11/2025

Our next paper on comparing dynamical systems (with special interest to artificial and biological neural networks) is out!! Joint work with @annhuang42.bsky.social , as well as @satpreetsingh.bsky.social , @leokoz8.bsky.social , Ila Fiete, and @kanakarajanphd.bsky.social : arxiv.org/pdf/2510.25943

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Reposted by Chen Jiang

Matt Perich @mattperich.bsky.social · 06/11/2025

If you're interested in dynamical systems analysis for neuroscience, definitely check out @oliviercodol.bsky.social 's revised version of our RL paper! Very cool results in the new Fig 6, worth it regardless of if you saw our previous version or if it's all new. www.biorxiv.org/content/10.1...

biorxiv.org

Brain-like neural dynamics for behavioral control develop through reinforcement learning

During development, neural circuits are shaped continuously as we learn to control our bodies. The ultimate goal of this process is to produce neural dynamics that enable the rich repertoire of behavi...

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Reposted by Chen Jiang

Chen Jiang @chenjiang01.bsky.social · 04/11/2025

Excited to share that our work ‘Simultaneous detection and estimation in olfactory sensing’ with @mattyizhenghe.bsky.social, @neurovenki.bsky.social , @cpehlevan.bsky.social, @jzv.bsky.social and @paulmasset.bsky.social has been launched! 1/7

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Reposted by Chen Jiang

Paul Masset @paulmasset.bsky.social · 04/11/2025

First paper from the lab! We propose a model that separates estimation of odor concentration and presence and map it on olfactory bulb circuits Led by @chenjiang01.bsky.social and @mattyizhenghe.bsky.social joint work with @jzv.bsky.social and with @neurovenki.bsky.social @cpehlevan.bsky.social

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Chen Jiang @chenjiang01.bsky.social · 04/11/2025

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Reposted by Chen Jiang

bioRxiv Neuroscience @biorxiv-neursci.bsky.social · 03/11/2025

Simultaneous detection and estimation in olfactory sensing www.biorxiv.org/content/10.1101/202…

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Reposted by Chen Jiang

Paul Masset @paulmasset.bsky.social · 04/06/2025

Our work with Pablo Tano, @hyunggoo-kim.bsky.social Athar Malik, Alexandre Pouget and @naoshigeuchida.bsky.social exploring how dopamine neurons could enable multi-timescale reinforcement learning in the brain is out in @nature.com www.nature.com/articles/s41...

nature.com

Multi-timescale reinforcement learning in the brain - Nature

Individual dopaminergic neurons encode future rewards over distinct temporal horizons.

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