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Encoding of action by the Purkinje cells of the cerebellum

Author

Listed:
  • David J. Herzfeld

    (Laboratory for Computational Motor Control, Johns Hopkins University School of Medicine)

  • Yoshiko Kojima

    (Washington National Primate Center, University of Washington)

  • Robijanto Soetedjo

    (Washington National Primate Center, University of Washington)

  • Reza Shadmehr

    (Laboratory for Computational Motor Control, Johns Hopkins University School of Medicine)

Abstract

Recording from Purkinje cells in monkeys, this study found that the combined simple-spike responses of bursting and pausing Purkinje cells, but not either population alone, predicted the real-time speed of saccades; moreover, when Purkinje cells were organized according to their complex-spike field, the population responses encoded both speed and direction of the eye during saccades via a gain field.

Suggested Citation

  • David J. Herzfeld & Yoshiko Kojima & Robijanto Soetedjo & Reza Shadmehr, 2015. "Encoding of action by the Purkinje cells of the cerebellum," Nature, Nature, vol. 526(7573), pages 439-442, October.
  • Handle: RePEc:nat:nature:v:526:y:2015:i:7573:d:10.1038_nature15693
    DOI: 10.1038/nature15693
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    Citations

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    Cited by:

    1. Omid A. Zobeiri & Kathleen E. Cullen, 2024. "Cerebellar Purkinje cells combine sensory and motor information to predict the sensory consequences of active self-motion in macaques," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    2. François G. C. Blot & Joshua J. White & Amy van Hattem & Licia Scotti & Vaishnavi Balaji & Youri Adolfs & R. Jeroen Pasterkamp & Chris I. De Zeeuw & Martijn Schonewille, 2023. "Purkinje cell microzones mediate distinct kinematics of a single movement," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    3. Simon P Orozco & Scott T Albert & Reza Shadmehr, 2021. "Adaptive control of movement deceleration during saccades," PLOS Computational Biology, Public Library of Science, vol. 17(7), pages 1-30, July.
    4. Naveen Sendhilnathan & Andreea C. Bostan & Peter L. Strick & Michael E. Goldberg, 2024. "A cerebro-cerebellar network for learning visuomotor associations," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    5. Akshay Markanday & Sungho Hong & Junya Inoue & Erik Schutter & Peter Thier, 2023. "Multidimensional cerebellar computations for flexible kinematic control of movements," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    6. Chris. I. De Zeeuw & Julius Koppen & George. G. Bregman & Marit Runge & Devika Narain, 2023. "Heterogeneous encoding of temporal stimuli in the cerebellar cortex," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    7. Li, Tianyu & Wu, Yong & Yang, Lijian & Fu, Ziying & Jia, Ya, 2023. "Neuronal morphology and network properties modulate signal propagation in multi-layer feedforward network," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    8. Julian Rossbroich & Daniel Trotter & John Beninger & Katalin Tóth & Richard Naud, 2021. "Linear-nonlinear cascades capture synaptic dynamics," PLOS Computational Biology, Public Library of Science, vol. 17(3), pages 1-27, March.

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