Modeling Neural Activity as Time-Varying Signals on Graphs

Krishnaswamy Lab introduced an approach modeling neural substrates as graphs with neural activity as time-varying signals, aiming to unify brain science data sources, since existing methods like PCA and HMM sacrifice either the spatial or temporal dimension of high-dimensional, noisy neural signals.

2026-11-09 ~ 2026-11-09 · 3 related posts