Brain-based device having a cerebellar model for predictive motor control
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United States of America Patent
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Mar 6, 2012
Grant Date -
Feb 24, 2011
app pub date -
Oct 28, 2010
filing date -
Dec 28, 2005
priority date (Note) -
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Abstract
A mobile brain-based device (BBD) includes a mobile platform with sensors and effectors, which is guided by a simulated nervous system that is an analogue of the cerebellar areas of the brain used for predictive motor control to determine interaction with a real-world environment. The simulated nervous system has neural areas including precerebellum nuclei (PN), Purkinje cells (PC), deep cerebellar nuclei (DCN) and an inferior olive (IO) for predicting turn and velocity control of the BBD during movement in a real-world environment. The BBD undergoes training and testing, and the simulated nervous system learns and performs control functions, based on a delayed eligibility trace learning rule.
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