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

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Brain state and sensory input distinctly shape communication between cortical layers. Visual input drives directional flow, while wakefulness promotes symmetric coordination, revealing distinct mechanisms of neural communication.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Interpreting cortical population dynamics requires understanding how brain states and sensory inputs influence inter-laminar communication.
  • Neural communication patterns are crucial for information processing in the brain.

Purpose of the Study:

  • To quantify the low-dimensional predictive subspaces linking input and superficial layers in macaque V1.
  • To investigate how visual stimulation and internal brain state modulate these communication pathways.

Main Methods:

  • Laminar recordings in macaque V1.
  • Reduced-rank regression to identify predictive subspaces.
  • Delay analysis and network simulations.

Main Results:

  • Both visual stimulation and internal state (eyes open vs. closed) modulate communication subspaces.
  • Visual input creates directional, feedforward communication; wakefulness enhances symmetric coordination.
  • Differential structure across layers predicts communication asymmetry.

Conclusions:

  • Communication pathways are shaped by distinct mechanisms of sensory input and internal brain state.
  • Findings differentiate genuine information flow from global state dynamics in neural coupling.
  • Provides a framework for interpreting inter-population correlations in broader cortical circuits.