NDLI: Integrating neural spiking and LFP activity to decode kinematics of the arm and hand during unconstrained reach to grasp movements

Content Provider	IEEE Xplore Digital Library
Author	Best, M.D. Takahashi, K. Zhe Chen Huh, N. Brown, K.A. Hatsopoulos, N.G.
Copyright Year	2013
Description	Author affiliation: Dept. of Organismal Biol. & Anatomy, Univ. of Chicago, Chicago, IL, USA (Best, M.D.; Takahashi, K.; Huh, N.; Brown, K.A.; Hatsopoulos, N.G.) \|\| Harvard Med. Sch., MIT, Cambridge, MA, USA (Zhe Chen)
Abstract	Many current brain-machine interfaces do not consider the behavioral context of the subject, rather, they assume the subject is constantly engaged in a single task. We investigated how incorporating information about state can improve the performance of a decoder. Unit spiking activity and LFPs were recorded from chronically implanted electrode arrays in primary motor and premotor corticies while a monkey performed a reach to grasp task. We applied an unsupervised clustering technique to LFP data to identify different neural states. Then, for each state, we fit a sparse Bayesian linear model with causal interaction terms to decode the joint kinematics of many degrees of freedom in the arm and hand. We used automatic relevance determination for variable selection and to avoid overfitting. We show that the state-based decoding model improves decoding performance over a model without state information. We further show that topology of interaction terms is different across different states.
Starting Page	1425
Ending Page	1428
File Size	1522471
Page Count	4
File Format	PDF
ISBN	9781467319690
ISSN	19483554
DOI	10.1109/NER.2013.6696211
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wrist Animals motor cortex Computational modeling variational Bayesian inference Kinematics Decoding Bayes methods premotor cortex Joints decoding
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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