Neuroscience

  2. Spatially heterogeneous inhibition projects sequential activity onto unique neural subspaces

    1. Andrew B Lehr
    2. Arvind Kumar
    3. Christian Tetzlaff

    • Curated by eLife

      eLife Assessment

      This valuable study uses mathematical modeling and analysis to address the question of how neural circuits generate distinct low-dimensional, sequential neural dynamics that can change on fast, behaviorally relevant timescales. The authors propose a circuit model in which spatially heterogeneous inhibition constrains network dynamics to sequential activity on distinct neural subspaces and allows top-down sequence selection on fast timescales. The study convincingly demonstrates how this mechanism could operate and makes predictions about connectivity patterns and dynamics.

    Reviewed by eLife

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