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A geometric representation unveils learning dynamics in primate neurons

Published in bioRxiv, 2019

To study neural dynamics during learning of new and diverse concepts, I trained two monkeys to perform the same classification task my human subjects carried and recorded neurons in the dACC and the Striatum as the animals learned eight novel classification rules. To examine dynamics, I developed a description of rules and neural representations of the visual stimuli that allowed tracking dynamics in geometrical terms - unifying sessions of learning different rules. This framework allowed teasing apart potential roles of the different brain areas and to predict future behavior from the neural state. Read more

Recommended citation: Cohen Y, Schneidman E, Paz R (2019) "A geometric representation unveils learning dynamics in primate neurons". bioRxiv https://www.biorxiv.org/content/biorxiv/early/2019/02/28/561670.full.pdf

Hidden neural states underlie canary song syntax

Published in Nature, 2020

Motor skills with long-range sequence dependencies are common in complex behaviors, with speech the richest example. In general, the neural mechanisms underlying long-range motor sequence dependencies are unknown. Using miniaturized head-mounterd fluorescence microscopes and genetic tools I revealed coding of such memory-dependent syntactic properties in singing canaries. Read more

Recommended citation: Cohen Y, Shen J, Semu D, Leman DP, Liberti WA III, Perkins N, and Gardner TJ (2020). "Hidden neural states underlie canary song syntax." Nature. Accepted. https://www.biorxiv.org/content/10.1101/561761v2