Goal-directed state equation for tracking reaching movements using neural signals

Abstract

This paper addresses the problem of estimating reaching movements. We derive a Bayesian-optimal discretetime state equation to support real-time filters that incorporate observations about the target position and arm trajectory. The resulting algorithm is compatible with any filtering method, such as point process or Kalman filters, and any recording modality, such as multielectrode arrays, intracortical EEG, or eye trackers.

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Cite this paper

@inproceedings{Srinivasan2005GoaldirectedSE, title={Goal-directed state equation for tracking reaching movements using neural signals}, author={Lakshminarayan Srinivasan and Uri T. Eden and Alan S. Willsky and Emery N. Brown}, year={2005} }