A parallel point-process filter for estimation of goal-directed movements from neural signals

A parallel point-process filter for estimation of goal-directed movements from neural signals

Brain machine interfaces work by mapping the relevant neural activity to the intended movement known as 'decoding'. Here, we develop a recursive Bayesian decoder for goal-directed movements from neural observations, which exploits the optimal feedback control model of the sensorimotor syst...

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Bibliographic Details
Main Authors: Modir Shanechi, Maryam (Contributor), Wornell, Gregory W. (Contributor), Williams, Ziv (Contributor), Brown, Emery N. (Contributor)
Other Authors: Harvard University- (Contributor), Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2012-05-07T20:36:09Z.
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