Sparse autoencoders for mechanistic insights on neural computation in naturalistic experiments
Valerie Costa, Sara Matias, Bahareh Tolooshams, Paul Masset, Naoshige Uchida, Demba Ba · COSYNE 2025
Recent advances in recording techniques and behavioral monitoring are revolutionizing systems neuroscience, enabling the study of behavior in naturalistic settings. Using fiber photometry data from dopamine axons (DA) in the striatum, we set out to characterize the homogeneity and heterogeneity across striatal areas during naturalistic behavior. These recordings were performed while a mouse explored multiple items placed inside a box, with which they could interact freely. Specifically, our goal was to test the hypothesis that DA axons in the ventral striatum (VS) solely encode value informati
ePoster · Neuroscience