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Initial-state-dependent, robust, transient neural dynamics encode conscious visual perception.

Alexis T Baria1, Brian Maniscalco1,2, Biyu J He1,2,3

  • 1National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America.

Plos Computational Biology
|November 28, 2017
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Summary
This summary is machine-generated.

Brain activity patterns before visual stimuli predict conscious perception. Neural dynamics during conscious awareness are fast, robust, and depend on initial brain states, influencing perception outcomes.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Neuroscience

Background:

  • Late-latency, long-lasting neural activity is linked to conscious perception.
  • The dynamic nature and underlying mechanisms of this neural activity remain unclear.

Purpose of the Study:

  • To investigate the dynamical properties of whole-brain cortical activity related to conscious visual perception.
  • To understand how pre-stimulus brain states influence conscious perception outcomes.

Main Methods:

  • Applied dynamic-pattern analysis to magnetoencephalography (MEG) data.
  • Analyzed slow (< 5 Hz) cortical dynamics in human subjects during a threshold-level visual perception task.

Main Results:

  • Pre-stimulus brain activity patterns (up to 1 second prior) predicted conscious perception of visual stimuli.
  • Cortical activity trajectories diverged significantly between consciously perceived (seen) and unperceived (unseen) trials.
  • Conscious perception trajectories were fast-evolving and robust to initial state variations.
  • Spontaneous pre-stimulus activity also influenced unconscious perception in unseen trials.

Conclusions:

  • Conscious visual perception is underpinned by initial-state-dependent, robust, transient neural dynamics.
  • Brain dynamics exhibit nonlinear interactions between initial states and stimulus input to shape perception.