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Endogenous activity modulates stimulus and circuit-specific neural tuning and predicts perceptual behavior

Author

Listed:
  • Yuanning Li

    (Carnegie Mellon University and University of Pittsburgh
    Carnegie Mellon University and University of Pittsburgh
    University of Pittsburgh
    University of California)

  • Michael J. Ward

    (University of Pittsburgh)

  • R. Mark Richardson

    (University of Pittsburgh
    Massachusetts General Hospital
    Harvard Medical School)

  • Max G’Sell

    (Carnegie Mellon University)

  • Avniel Singh Ghuman

    (Carnegie Mellon University and University of Pittsburgh
    Carnegie Mellon University and University of Pittsburgh
    University of Pittsburgh)

Abstract

Perception reflects not only sensory inputs, but also the endogenous state when these inputs enter the brain. Prior studies show that endogenous neural states influence stimulus processing through non-specific, global mechanisms, such as spontaneous fluctuations of arousal. It is unclear if endogenous activity influences circuit and stimulus-specific processing and behavior as well. Here we use intracranial recordings from 30 pre-surgical epilepsy patients to show that patterns of endogenous activity are related to the strength of trial-by-trial neural tuning in different visual category-selective neural circuits. The same aspects of the endogenous activity that relate to tuning in a particular neural circuit also correlate to behavioral reaction times only for stimuli from the category that circuit is selective for. These results suggest that endogenous activity can modulate neural tuning and influence behavior in a circuit- and stimulus-specific manner, reflecting a potential mechanism by which endogenous neural states facilitate and bias perception.

Suggested Citation

  • Yuanning Li & Michael J. Ward & R. Mark Richardson & Max G’Sell & Avniel Singh Ghuman, 2020. "Endogenous activity modulates stimulus and circuit-specific neural tuning and predicts perceptual behavior," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-17729-w
    DOI: 10.1038/s41467-020-17729-w
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    Cited by:

    1. Yuan-hao Wu & Ella Podvalny & Max Levinson & Biyu J. He, 2024. "Network mechanisms of ongoing brain activity’s influence on conscious visual perception," Nature Communications, Nature, vol. 15(1), pages 1-18, December.

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