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Transformation of Cortex-wide Emergent Properties during Motor Learning

机译:电机学习期间皮质宽特性的转变

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摘要

Learning involves a transformation of brain-wide operation dynamics. However, our understanding of learning-related changes in macroscopic dynamics is limited. Here, we monitored cortex-wide activity of the mouse brain using wide-field calcium imaging while the mouse learned a motor task over weeks. Over learning, the sequential activity across cortical modules became temporally more compressed, and its trial-by-trial variability decreased. Moreover, a new flow of activity emerged during learning, originating from premotor cortex (M2), and M2 became predictive of the activity of many other modules. Inactivation experiments showed that M2 is critical for the post-learning dynamics in the cortex-wide activity. Furthermore, two-photon calcium imaging revealed that M2 ensemble activity also showed earlier activity onset and reduced variability with learning, which was accompanied by changes in the activity-movement relationship. These results reveal newly emergent properties of macroscopic cortical dynamics during motor learning and highlight the importance of M2 in controlling learned movements.
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著录项

  • 来源
    《Neuron》 |2017年第4期|共11页
  • 作者单位

    Univ Calif San Diego Dept Neurosci Neurobiol Sect Ctr Neural Circuits &

    Behav La Jolla CA;

    Univ Calif San Diego Dept Neurosci Neurobiol Sect Ctr Neural Circuits &

    Behav La Jolla CA;

    Univ Calif San Diego Dept Neurosci Neurobiol Sect Ctr Neural Circuits &

    Behav La Jolla CA;

    Univ Calif San Diego Dept Neurosci Neurobiol Sect Ctr Neural Circuits &

    Behav La Jolla CA;

    Univ Calif San Diego Dept Neurosci Neurobiol Sect Ctr Neural Circuits &

    Behav La Jolla CA;

    Univ Calif San Diego Dept Elect &

    Comp Engn La Jolla CA 92093 USA;

    Univ Calif San Diego Dept Elect &

    Comp Engn La Jolla CA 92093 USA;

    Univ Calif San Diego Dept Neurosci Neurobiol Sect Ctr Neural Circuits &

    Behav La Jolla CA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 神经病学;
  • 关键词

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