New research tackles decoding high-dimensional, noisy brain signals to link them to behavior and disease
Pseudomanifold · x · 2026-11-09
The Krishnaswamy Lab shared progress on a multidisciplinary study aimed at decoding brain signals and linking them to behavior or disease — a hard problem because neural activity is high-dimensional, noisy, and structured across both space and time: patterns are spatially organized across the brain at each timepoint and evolve over time. The work was led by dbhaskar92, Yanlei Zhang and Jessie Moore, with collaborators spanning topological data analysis and neuroscience.
Related event: Modeling Neural Activity as Time-Varying Signals on Graphs(3 posts)→
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