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      Motor cortical visuomotor feedback activity is initially isolated from downstream targets in output-null neural state space dimensions

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          Summary

          Neural circuits must transform new inputs into outputs without prematurely affecting downstream circuits, while still maintaining other ongoing communication with these targets. We investigated how this isolation is achieved in motor cortex when macaques received visual feedback signaling a movement perturbation. To overcome limitations in estimating the mapping from cortex to arm movements, we also conducted brain-machine interface (BMI) experiments where we could definitively identify neural firing patterns as output-null or output-potent. This revealed that perturbation-evoked responses were initially restricted to output-null patterns that cancelled out at the neural population code readout, and only later entered output-potent neural dimensions. This mechanism was facilitated by the circuit's large null space and its ability to strongly modulate output-potent dimensions when generating corrective movements. These results show that the nervous system can temporarily isolate portions of a circuit's activity from its downstream targets by restricting this activity to the circuit's output-null neural dimensions.

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          Author and article information

          Journal
          8809320
          1600
          Neuron
          Neuron
          Neuron
          0896-6273
          1097-4199
          15 June 2017
          15 June 2017
          05 July 2017
          05 July 2018
          : 95
          : 1
          : 195-208.e9
          Affiliations
          [1 ]Neurosciences Graduate Program
          [2 ]Electrical Engineering Department
          [3 ]Neurobiology and Bioengineering Departments
          [4 ]Bio-X Program
          [5 ]Stanford Neurosciences Institute Stanford University, Stanford, USA
          [6 ]Howard Hughes Medical Institute at Stanford University
          [7 ]Department of Neurosurgery, Palo Alto Medical Foundation, Palo Alto, USA
          Author notes
          [* ]Lead Contact and Corresponding Author ( sstavisk@ 123456stanford.edu )
          Article
          PMC5547570 PMC5547570 5547570 nihpa878756
          10.1016/j.neuron.2017.05.023
          5547570
          28625485
          1155fff5-c705-4b1c-949c-e96d2da913a7
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