Sara Matias
saramatias.bsky.social
Sara Matias
@saramatias.bsky.social
Capoeira balança mas não cai | Large eligibility trace, large temporal discount factor | She/her | 🇵🇹 in 🇺🇸
Grateful for the opportunity to share our work at the Frontiers in NeuroAI Symposium @kempnerinstitute.bsky.social !
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
June 12, 2025 at 7:37 PM
Reposted by Sara Matias
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
June 6, 2025 at 6:30 PM
Reposted by Sara Matias
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.
bit.ly
April 15, 2025 at 1:41 PM
Reposted by Sara Matias
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 […]
bit.ly
April 14, 2025 at 7:05 PM
Reposted by Sara Matias
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)
March 18, 2025 at 3:04 PM
Reposted by Sara Matias
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)
March 18, 2025 at 3:04 PM
Reposted by Sara Matias
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
March 13, 2025 at 4:12 PM
Reposted by Sara Matias
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
February 19, 2025 at 8:31 PM