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Nonlinear dendritic integration of sensory and motor input during an active sensing task

Author

Listed:
  • Ning-long Xu

    (Howard Hughes Medical Institute, Janelia Farm Research Campus)

  • Mark T. Harnett

    (Howard Hughes Medical Institute, Janelia Farm Research Campus)

  • Stephen R. Williams

    (Queensland Brain Institute, The University of Queensland)

  • Daniel Huber

    (Howard Hughes Medical Institute, Janelia Farm Research Campus
    Present addresses: Department of Basic Neurosciences, University of Geneva, CH-1211 Geneva, Switzerland (D.H.); Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA (D.H.O.).)

  • Daniel H. O’Connor

    (Howard Hughes Medical Institute, Janelia Farm Research Campus
    Present addresses: Department of Basic Neurosciences, University of Geneva, CH-1211 Geneva, Switzerland (D.H.); Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA (D.H.O.).)

  • Karel Svoboda

    (Howard Hughes Medical Institute, Janelia Farm Research Campus)

  • Jeffrey C. Magee

    (Howard Hughes Medical Institute, Janelia Farm Research Campus)

Abstract

Recordings from cortical neuron dendrites of head-fixed mice during an object-localization task provide direct evidence that a novel global nonlinearity has a role in integrating sensory and motor information during a behaviour-related computation.

Suggested Citation

  • Ning-long Xu & Mark T. Harnett & Stephen R. Williams & Daniel Huber & Daniel H. O’Connor & Karel Svoboda & Jeffrey C. Magee, 2012. "Nonlinear dendritic integration of sensory and motor input during an active sensing task," Nature, Nature, vol. 492(7428), pages 247-251, December.
    • Handle: RePEc:nat:nature:v:492:y:2012:i:7428:d:10.1038_nature11601
    DOI: 10.1038/nature11601
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    Cited by:

    1. Yichen Zhang & Gan He & Lei Ma & Xiaofei Liu & J. J. Johannes Hjorth & Alexander Kozlov & Yutao He & Shenjian Zhang & Jeanette Hellgren Kotaleski & Yonghong Tian & Sten Grillner & Kai Du & Tiejun Huan, 2023. "A GPU-based computational framework that bridges neuron simulation and artificial intelligence," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    2. Matteo Farinella & Daniel T Ruedt & Padraig Gleeson & Frederic Lanore & R Angus Silver, 2014. "Glutamate-Bound NMDARs Arising from In Vivo-like Network Activity Extend Spatio-temporal Integration in a L5 Cortical Pyramidal Cell Model," PLOS Computational Biology, Public Library of Science, vol. 10(4), pages 1-21, April.
    3. Zhaoran Zhang & Edward Zagha, 2023. "Motor cortex gates distractor stimulus encoding in sensory cortex," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    4. Shan Shen & Xiaolong Jiang & Federico Scala & Jiakun Fu & Paul Fahey & Dmitry Kobak & Zhenghuan Tan & Na Zhou & Jacob Reimer & Fabian Sinz & Andreas S. Tolias, 2022. "Distinct organization of two cortico-cortical feedback pathways," Nature Communications, Nature, vol. 13(1), pages 1-14, December.

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