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Sensory stimulation shifts visual cortex from synchronous to asynchronous states

Author

Listed:
  • Andrew Y. Y. Tan

    (Center for Perceptual Systems, University of Texas
    College of Natural Sciences, University of Texas)

  • Yuzhi Chen

    (Center for Perceptual Systems, University of Texas
    College of Natural Sciences, University of Texas
    University of Texas)

  • Benjamin Scholl

    (Center for Perceptual Systems, University of Texas
    College of Natural Sciences, University of Texas)

  • Eyal Seidemann

    (Center for Perceptual Systems, University of Texas
    College of Natural Sciences, University of Texas
    University of Texas)

  • Nicholas J. Priebe

    (Center for Perceptual Systems, University of Texas
    College of Natural Sciences, University of Texas)

Abstract

Intracellular recordings distinguish between mechanisms that can account for variability in primary visual cortex of alert primates, consistent with a scheme in which spiking is driven by infrequent synchronous events during fixation, with sensory stimulation shifting the cortex to an asynchronous state.

Suggested Citation

  • Andrew Y. Y. Tan & Yuzhi Chen & Benjamin Scholl & Eyal Seidemann & Nicholas J. Priebe, 2014. "Sensory stimulation shifts visual cortex from synchronous to asynchronous states," Nature, Nature, vol. 509(7499), pages 226-229, May.
    • Handle: RePEc:nat:nature:v:509:y:2014:i:7499:d:10.1038_nature13159
    DOI: 10.1038/nature13159
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    Cited by:

    1. Skander Mensi & Olivier Hagens & Wulfram Gerstner & Christian Pozzorini, 2016. "Enhanced Sensitivity to Rapid Input Fluctuations by Nonlinear Threshold Dynamics in Neocortical Pyramidal Neurons," PLOS Computational Biology, Public Library of Science, vol. 12(2), pages 1-38, February.
    2. Iris Reuveni & Sourav Ghosh & Edi Barkai, 2017. "Real Time Multiplicative Memory Amplification Mediated by Whole-Cell Scaling of Synaptic Response in Key Neurons," PLOS Computational Biology, Public Library of Science, vol. 13(1), pages 1-31, January.
    3. Christian Donner & Klaus Obermayer & Hideaki Shimazaki, 2017. "Approximate Inference for Time-Varying Interactions and Macroscopic Dynamics of Neural Populations," PLOS Computational Biology, Public Library of Science, vol. 13(1), pages 1-27, January.
    4. Christopher Ebsch & Robert Rosenbaum, 2018. "Imbalanced amplification: A mechanism of amplification and suppression from local imbalance of excitation and inhibition in cortical circuits," PLOS Computational Biology, Public Library of Science, vol. 14(3), pages 1-28, March.

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