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Large-scale spatiotemporal spike patterning consistent with wave propagation in motor cortex

Author

Listed:
  • Kazutaka Takahashi

    (University of Chicago)

  • Sanggyun Kim

    (University of California)

  • Todd P. Coleman

    (University of California)

  • Kevin A. Brown

    (Center for Neuroscience, New York University)

  • Aaron J. Suminski

    (Milwaukee School of Engineering)

  • Matthew D. Best

    (Committee on Computational Neuroscience, University of Chicago)

  • Nicholas G. Hatsopoulos

    (University of Chicago
    Committee on Computational Neuroscience, University of Chicago)

Abstract

Aggregate signals in cortex are known to be spatiotemporally organized as propagating waves across the cortical surface, but it remains unclear whether the same is true for spiking activity in individual neurons. Furthermore, the functional interactions between cortical neurons are well documented but their spatial arrangement on the cortical surface has been largely ignored. Here we use a functional network analysis to demonstrate that a subset of motor cortical neurons in non-human primates spatially coordinate their spiking activity in a manner that closely matches wave propagation measured in the beta oscillatory band of the local field potential. We also demonstrate that sequential spiking of pairs of neuron contains task-relevant information that peaks when the neurons are spatially oriented along the wave axis. We hypothesize that the spatial anisotropy of spike patterning may reflect the underlying organization of motor cortex and may be a general property shared by other cortical areas.

Suggested Citation

  • Kazutaka Takahashi & Sanggyun Kim & Todd P. Coleman & Kevin A. Brown & Aaron J. Suminski & Matthew D. Best & Nicholas G. Hatsopoulos, 2015. "Large-scale spatiotemporal spike patterning consistent with wave propagation in motor cortex," Nature Communications, Nature, vol. 6(1), pages 1-11, November.
    • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms8169
    DOI: 10.1038/ncomms8169
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    Cited by:

    1. Erfan Zabeh & Nicholas C. Foley & Joshua Jacobs & Jacqueline P. Gottlieb, 2023. "Beta traveling waves in monkey frontal and parietal areas encode recent reward history," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    2. Felipe Gerhard & Moritz Deger & Wilson Truccolo, 2017. "On the stability and dynamics of stochastic spiking neuron models: Nonlinear Hawkes process and point process GLMs," PLOS Computational Biology, Public Library of Science, vol. 13(2), pages 1-31, February.
    3. Gabriel B. Benigno & Roberto C. Budzinski & Zachary W. Davis & John H. Reynolds & Lyle Muller, 2023. "Waves traveling over a map of visual space can ignite short-term predictions of sensory input," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

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