NDLI: Sparse generalized Laguerre-Volterra model of neural population dynamics

Content Provider	IEEE Xplore Digital Library
Author	Dong Song Chan, R.H.M. Marmarelis, V.Z. Hampson, R.E. Deadwyler, S.A. Berger, T.W.
Copyright Year	2009
Description	Author affiliation: Department of Biomedical Engineering, Center for Neural Engineering, University of Southern California, Los Angeles, CA 90089 USA (Dong Song) \|\| Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089 USA (Chan, R.H.M.; Marmarelis, V.Z.; Berger, T.W.) \|\| Department of Physiology & Pharmacology, Wake Forest University, School of Medicine, Winston-Salem, NC 27157 USA (Hampson, R.E.; Deadwyler, S.A.)
Abstract	To understand the function of a brain region, e.g., hippocampus, it is necessary to model its input-output property. Such a model can serve as the computational basis of the development of cortical prostheses restoring the transformation of population neural activities performed by the brain region. We formulate a sparse generalized Laguerre-Volterra model (SGLVM) for the multiple-input, multiple-output (MIMO) transformation of spike trains. A SGLVM consists of a set of feedforward Laguerre-Volterra kernels, a feedback Laguerre-Volterra kernel, and a probit link function. The sparse model representation involving only significant self and cross terms is achieved through statistical model selection and cross-validation methods. The SGLVM is applied successfully to the hippocampal CA3-CA1 population dynamics.
Starting Page	4555
Ending Page	4558
File Size	494368
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5332719
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kernel USA Councils Brain modeling Power system modeling Neurofeedback Neurons Gaussian noise Neural prosthesis Hippocampus Output feedback
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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