🧠🤖 Are you at #COSYNE2026? Check out the #KempnerInstitute's presentations! 👇 #neuroscience #NeuroAI
Zach Cohen
@zachcohen1.bsky.social
Theoretical/computational neuroscience, PhD student @harvard.edu, @kempnerinstitute.bsky.social graduate fellow, formerly princeton cs
I’ll be presenting this work (plus some exciting new follow-up analyses!) tonight at poster [1-019], “A unifying theory of receptive field heterogeneity predicts hippocampal spatial tuning.” Come by and say hi! #cosyne26
Finally up on bioRxiv! A new study with @jdrugowitsch.bsky.social where we do a deep dive into the coding benefits of receptive field heterogeneity and come up with new ways to measure receptive fields! www.biorxiv.org/content/10.1... [1/n]
I am totally pumped about this new work . "Task-trained RNNs" are a powerful and influential framework in neuroscience, but have lacked a firm theoretical footing. This work provides one, and makes direct contact with the classical theory of random RNNs: www.biorxiv.org/content/10.6...
Finally up on bioRxiv! A new study with @jdrugowitsch.bsky.social where we do a deep dive into the coding benefits of receptive field heterogeneity and come up with new ways to measure receptive fields! www.biorxiv.org/content/10.1... [1/n]
A unifying theory of receptive field heterogeneity predicts hippocampal spatial tuning
Neural populations exhibit receptive fields that vary in their sizes and shapes. Despite the prevalence of such tuning heterogeneity, we lack a unified theory of its computational benefits. Here, we p...
biorxiv.org