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Motor Control

If we agree that neurons send out stochastic signals, a natural question is then how we can achieve a precise control using a stochastic signals: a stochastic control task. In the past few years, we have worked on various control problems: mainly from optimal stochastic control point of view. The aim is to combine sensory inputs and information processing in neuronal networks (hence, all work above) to complete a control task (arm movement, for example) [1].

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Figure: Precise movement control (left panel) is achieved with stochastic signals, as described in details in the following paper [1]

 [1] Lu WL and Feng JF (2010) On a theory of localized computation, NIPs, 2010.