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      Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics

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      Neuron
      Elsevier BV

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          Abstract

          <p id="P1">Neural mechanisms that support flexible sensorimotor computations are not well understood. In a dynamical system whose state is determined by interactions among neurons, computations can be rapidly reconfigured by controlling the system’s inputs and initial conditions. To investigate whether the brain employs such control mechanisms, we recorded from the dorsomedial frontal cortex of monkeys trained to measure and produce time intervals in two sensorimotor contexts. The geometry of neural trajectories during the production epoch was consistent with a mechanism wherein the measured interval and sensorimotor context exerted control over the cortical dynamics by adjusting the system’s initial condition and input, respectively. These adjustments, in turn, set the speed at which activity evolved in the production epoch allowing the animal to flexibly produce different time intervals. These results provide evidence that the language of dynamical systems can be used to parsimoniously link brain activity to sensorimotor computations. </p><p id="P2">Remington et al. employ a dynamical systems perspective to understand how the brain flexibly controls timed movements. Results suggest that neurons in frontal cortex form a recurrent network whose behavior is flexibly controlled by inputs and initial conditions. </p><p id="P3"> <div class="figure-container so-text-align-c"> <img alt="" class="figure" src="/document_file/4dab60f7-9c6a-4dcd-a781-4f8ccdefd0bf/PubMedCentral/image/nihms972922u1.jpg"/> </div> </p>

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          Author and article information

          Journal
          Neuron
          Neuron
          Elsevier BV
          08966273
          June 2018
          June 2018
          : 98
          : 5
          : 1005-1019.e5
          Article
          10.1016/j.neuron.2018.05.020
          6009852
          29879384
          33367132-9405-4ae6-a7ea-a898b551076f
          © 2018

          https://www.elsevier.com/tdm/userlicense/1.0/

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