Topic: spectral decomposition

The brain relies on communication between specialized cortical areas to accomplish complex cognitive tasks. To understand this ability of the brain, we need a deeper understanding of information transfer across cortical areas. There are two leading hypotheses for communication between cortical areas: 1) The communication through coherence (CTC) hypothesis posits that coherent oscillations between source and target populations of neurons are required for information propagation. 2) The information transmission via communication subspace (CS) hypothesis, recently introduced by Semedo et al., adv

Survival requires the brain to generate flexible and adaptive behavioral mechanisms across multiple timescales. To understand how short timescale behaviors are chained to generate long sequences, we leverage high throughput behavioral recordings of the larval zebrafish subjected to diverse sensory stimuli. Fish swim in short and discrete burst-like motions bouts. We construct a maximally predictive state space by stacking consecutive bouts, and then investigate the time evolution of state-space densities through transfer operators. Their spectral decomposition reveals two stereotyped long time