NDLI: A hybrid systems model for supervisory cognitive state identification and estimation in neural prosthetics

Content Provider	IEEE Xplore Digital Library
Author	Hudson, N. Burdick, J.W.
Copyright Year	2008
Description	Author affiliation: Mech. Eng., California Inst. of Technol., Pasadena, CA, USA (Hudson, N.; Burdick, J.W.)
Abstract	This paper presents a method to identify a class of hybrid system models that arise in cognitive neural prosthetic medical devices that aim to help the severely handicapped. In such systems a ¿supervisory decoder¿ is required to classify the activity of multi-unit extracellular neural recordings into a discrete set of modes that model the evolution of the brain¿s planning process. We introduce a Gibbs sampling method to identify the key parameters of a GLHMM, a hybrid dynamical system that combines a set of generalized linear models (GLM) for dynamics of neuronal signals with a hidden Markov model (HMM) that describes the discrete transitions between the brain¿s cognitive or planning states. Multiple neural signals of mixed type, including local field potentials and spike arrival times, are integrated into the model using the GLM framework. The identified model can then be used as the basis for the supervisory decoding (or estimation) of the current cognitive or planning state. The identification algorithm is applied to extracellular neural recordings obtained from set of electrodes acutely implanted in the posterior parietal cortex of a rhesus monkey. The results demonstrate the ability to accurately decode changes in behavioral or cognitive state during reaching tasks, even when the model parameters are identified from small data sets. The GLHMM models and the associated identification methods are generally applicable beyond the neural application domain.
Starting Page	2025
Ending Page	2031
File Size	382217
Page Count	7
File Format	PDF
ISBN	9781424431236
ISSN	01912216
DOI	10.1109/CDC.2008.4739381
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-09
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	State estimation Prosthetics Brain modeling Hidden Markov models Decoding Extracellular Disk recording Process planning Sampling methods Signal processing
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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