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Spatio-temporal control of network activity through gain modulation in cortical circuit models

Abstract:

Animals perform an extraordinary variety of movements over many different time scales. To support this diversity, the motor cortex (M1) exhibits a similarly rich repertoire of activities. Although recent neuronal-network models capture many qualitative aspects of M1 dynamics, they can generate only a few distinct movements all with the same duration. Therefore, these models can still not explain how M1 efficiently controls movements over a wide range of shapes and speeds. In this thesis, w...

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Department:
University of Oxford
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Author

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Department:
University of Oxford
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Supervisor
Department:
University of California Los Angeles
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Supervisor
Department:
University of Oxford
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Department:
Columbia University
Role:
Examiner
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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