State-Dependent Dissociation of Shared Input and Directed Information Flow in the Visual Cortex.

ABSTRACT: Understanding how brain state and sensory input shape inter-laminar communication is essential for interpreting cortical population dynamics. Using laminar recordings in macaque V1, we apply reduced-rank regression to quantify low-dimensional predictive subspaces linking Input and Superficial layers. We find that both visual stimulation and internal state (eyes open vs. closed) modulate the structure and efficacy of these subspaces, but through distinct mechanisms. Visual input induces a directional, feedforward pattern from input to superficial layers, while wakefulness-related modulation enhances coordination more symmetrically. Delay analysis and network simulations confirm that structured, layer-specific inputs produce directional prediction, whereas global fluctuations yield undirecte

SUBMITTER: Xue Y 

PROVIDER: S-EPMC12871639 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature