Grateful for the opportunity to share our work at the Frontiers in NeuroAI Symposium @kempnerinstitute.bsky.social !

Kempner Institute at Harvard University@kempnerinstitute.bsky.social · last yr.

NEW: Sara Matias ( @saramatias.bsky.social‬ ) from Harvard's Department of Molecular and Cellular Biology shows evidence that the striatal dopamine circuit can mediate distributional reinforcement learning. Watch the video: youtu.be/uVOk0fNUV6c #NeuroAI2025 #ML #neuroscience #NeuroAI

Sara Matias from Harvard's Depertment of Molecular & Cellular Biology shows evidence that the striatal dopamine circuit can mediate distributional reinforcement learning. @saramatias.bsky.social‬ #NeuroAI2025 #ML #neuroscience

And for a broad perspective on how this framework helps untangle multiplexed information in neural recordings, check out our piece by @dryohanjohn.bsky.social. bit.ly/KempnerDUNL2

Study Introduces Innovative Method to Decode Complex Neural Data - Kempner Institute

Artificial intelligence, and specifically machine learning techniques, are allowing scientists to better analyze recordings of brain activity and disentangle neural patterns.

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New in the Deeper Learning blog: The Kempner’s Demba Ba explains his team’s recent Neuron paper on DUNL, a deep learning framework that tames the complexity of brain data. bit.ly/KempnerDUNL #AI #neuroscience #neuroskyence #ML

Mechanistic Interpretability: A Challenge Common to Both Artificial and Biological Intelligence - Kempner Institute

In neuroscience, the past decade has witnessed major advances in our ability to record activity from the brain at both larger and finer scales. And yet, a mechanistic theory linking […]

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I’m happy to share our latest work (co-lead by Selina Qian) has today been published in its final form in @:natureneuro.bsky.social: Read here: https://www.nature.com/articles/s41593-025-01915-4 (1/12)

This work is a product of a tremendous team: Lechen (Selina) Qian, Jay A Hennig (@jhennig.bsky.social), Sara Matias (@saramatias.bsky.social), Venki Murthy (@neurovenki.bsky.social), Sam Gershman (@gershbrain.bsky.social) and Naoshige Uchida (@naoshigeuchida.bsky.social) (11/12)

How can we design human-interpretable AI models to explain why neurons behave as they do? Excited to share our work in collaboration with @saramatias.bsky.social, Hao Wu, Simona Temereanca, @naoshigeuchida.bsky.social, @neurovenki.bsky.social, @paulmasset.bsky.social, and Demba Ba @harvard.edu 1/21

Excited that Adam Lowet's PhD work has been just been published in @nature.com at doi.org/10.1038/s415.... He has already posted about it on Twitter/X (see twitter.com/Adam_Lowet/s...), but let me re-post his thread here. 1/9

New Deep Learning Framework Reveals Hidden Structure in Neural Activity 🧠 #neuro #science www.mcb.harvard.edu/department/n... @naoshigeuchida.bsky.social @saramatias.bsky.social @neurovenki.bsky.social @btolooshams.bsky.social @kempnerinstitute.bsky.social @harvardbrainsci.bsky.social

New Deep Learning Framework Reveals Hidden Structure in Neural Activity - Harvard University - Department of Molecular & Cellular Biology

Understanding how neurons encode information is one of the most pressing challenges in neuroscience. A new study from a multidisciplinary team including MCB researchers and those from the […]

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