communication subspace
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Neuronal population interactions between brain areas
Most brain functions involve interactions among multiple, distinct areas or nuclei. Yet our understanding of how populations of neurons in interconnected brain areas communicate is in its infancy. Using a population approach, we found that interactions between early visual cortical areas (V1 and V2) occur through a low-dimensional bottleneck, termed a communication subspace. In this talk, I will focus on the statistical methods we have developed for studying interactions between brain areas. First, I will describe Delayed Latents Across Groups (DLAG), designed to disentangle concurrent, bi-directional (i.e., feedforward and feedback) interactions between areas. Second, I will describe an extension of DLAG applicable to three or more areas, and demonstrate its utility for studying simultaneous Neuropixels recordings in areas V1, V2, and V3. Our results provide a framework for understanding how neuronal population activity is gated and selectively routed across brain areas.
Brain state and visual stimulation differentially modulate inter-layer communication subspace in V1
COSYNE 2025
Flexible inter-areal computations through low-rank communication subspaces
COSYNE 2022
Flexible inter-areal computations through low-rank communication subspaces
COSYNE 2022
Coherence influences the dimensionality of communication subspaces
COSYNE 2023
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