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Sara Matias

@saramatias.bsky.social
132 followers 401 following 1 posts

Capoeira balança mas não cai | Large eligibility trace, large temporal discount factor | She/her | 🇵🇹 in 🇺🇸

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Sara Matias @saramatias.bsky.social · 12/06/2025
Grateful for the opportunity to share our work at the Frontiers in NeuroAI Symposium @kempnerinstitute.bsky.social !
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Kempner Institute at Harvard University @kempnerinstitute.bsky.social · 06/06/2025
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
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Kempner Institute at Harvard University @kempnerinstitute.bsky.social · 15/04/2025
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
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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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Kempner Institute at Harvard University @kempnerinstitute.bsky.social · 14/04/2025
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
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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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Mark Burrell @mhburrell.bsky.social · 18/03/2025
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: www.nature.com/articles/s41593-025-… (1/12)
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Mark Burrell @mhburrell.bsky.social · 18/03/2025
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)
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Bahareh Tolooshams @btolooshams.bsky.social · 13/03/2025
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
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Jan Drugowitsch @jdrugowitsch.bsky.social · 19/02/2025
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
Picture of Nature article, published 19 Feburary 2025, titled "An opponent striatal circuit for distributional reinforcement learning", with authors Adam S. Lowet, Qiao Zheng, Melissa Meng, Sara Matias, Jan Drugowitsch & Naoshige Uchida.
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Harvard_MCB @harvardmcb.bsky.social · 12/03/2025
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
mcb.harvard.edu
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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