3 papers
cs.LG2026
Deep probabilistic model synthesis enables unified modeling of whole-brain neural activity across individual subjects
William E. Bishop, Luuk W. Hesselink, Bernhard Englitz +2
Many disciplines need quantitative models that synthesize experimental data across multiple instances of the same general system. For example, neuroscientists must combine data fro…
q-bio.NC2026
Hyperbolic Neural Population Geometry Benefits Computation
Dennis Wu, Yi-Chun Hung, Braden Yuille +2
Neural population geometry shapes downstream computation. Recent empirical findings in neurobiology suggest that a hyperbolic structure underlies population activity in the hippoca…
q-bio.NC2025
Tensor formalism for predicting synaptic connections with ensemble modeling or optimization
Tirthabir Biswas, Tianzhi Lambus Li, Selimzhan Chalyshkan +2
Theoretical neuroscientists often try to understand how the structure of a neural network relates to its function by focusing on structural features that would either follow from o…