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Learning-related fine-scale specificity imaged in motor cortex circuits of behaving mice

Author

Listed:
  • Takaki Komiyama

    (Janelia Farm Research Campus, HHMI, Ashburn, Virginia 20147, USA)

  • Takashi R. Sato

    (Janelia Farm Research Campus, HHMI, Ashburn, Virginia 20147, USA)

  • Daniel H. O’Connor

    (Janelia Farm Research Campus, HHMI, Ashburn, Virginia 20147, USA)

  • Ying-Xin Zhang

    (Janelia Farm Research Campus, HHMI, Ashburn, Virginia 20147, USA
    Present addresses: The Solomon H. Snyder Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, Maryland 21205, USA (Y.-X.Z.); HHMI and Department of Biochemistry and Molecular Biophysics, Columbia College of Physicians and Surgeons, Columbia University, New York, New York 10032, USA (M.G.).)

  • Daniel Huber

    (Janelia Farm Research Campus, HHMI, Ashburn, Virginia 20147, USA)

  • Bryan M. Hooks

    (Janelia Farm Research Campus, HHMI, Ashburn, Virginia 20147, USA)

  • Mariano Gabitto

    (University of California at San Diego, La Jolla, California 92093, USA
    Present addresses: The Solomon H. Snyder Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, Maryland 21205, USA (Y.-X.Z.); HHMI and Department of Biochemistry and Molecular Biophysics, Columbia College of Physicians and Surgeons, Columbia University, New York, New York 10032, USA (M.G.).)

  • Karel Svoboda

    (Janelia Farm Research Campus, HHMI, Ashburn, Virginia 20147, USA)

Abstract

Cortical circuits: learning to behave Although it is generally accepted that specific cortical circuits drive behavioural execution, the relationship between task performance and modulation within the circuit is unknown. Taking advantage of a technique that allows simultaneous activity monitoring of many neurons within the same circuit, Komiyama et al. imaged activity in two motor cortical areas in mice involved in the control of licking. In both areas there were cells that are preferentially excited in different trial types and predict different actions. These neurons were spatially intermingled. However, nearby neurons showed pronounced temporally coincident activity. These temporal correlations were particularly high for pairs of neurons with similar response types, and increased with learning. These correlations provide direct evidence for rapid changes in cortical microcircuits underlying flexible behaviour.

Suggested Citation

  • Takaki Komiyama & Takashi R. Sato & Daniel H. O’Connor & Ying-Xin Zhang & Daniel Huber & Bryan M. Hooks & Mariano Gabitto & Karel Svoboda, 2010. "Learning-related fine-scale specificity imaged in motor cortex circuits of behaving mice," Nature, Nature, vol. 464(7292), pages 1182-1186, April.
    • Handle: RePEc:nat:nature:v:464:y:2010:i:7292:d:10.1038_nature08897
    DOI: 10.1038/nature08897
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