| Ascertaining neuron importance by information theoretical analysis in motor Brain-Machine Interfaces. | |
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MedLine Citation:
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PMID: 19615852 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Point process modeling of neural spike recordings has the potential to capture with high specificity the information contained in spike time occurrence. In Brain-Machine Interfaces (BMIs) the neural tuning characteristic assessed from neural spike recordings can distinguish neuron importance in terms of its modulation with the movement task. Consequently, it improves generalization and reduces significantly computation in previous decoding algorithms, where models reconstruct the kinematics from recorded activities of hundreds of neurons. We propose to apply information theoretical analysis based on an instantaneous tuning model to extract the important neuron subsets for point process decoding on BMI. The cortical distribution of extracted neuron subsets is analyzed and the statistical decoding performance using subset selection is studied with respect to different number of neurons and compared to the one by the full neuron ensemble. With much less computation, the extracted importance neurons provide comparable kinematic reconstructions compared to the full neuron ensemble. The performance of the extracted subset is compared to the random selected subset with same number of neurons to further validate the effectiveness of the subset-extraction approach. |
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Authors:
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Yiwen Wang; Jose C Principe; Justin C Sanchez |
Publication Detail:
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Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S. Date: 2009-06-30 |
Journal Detail:
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Title: Neural networks : the official journal of the International Neural Network Society Volume: 22 ISSN: 1879-2782 ISO Abbreviation: Neural Netw Publication Date: 2009 Jul-Aug |
Date Detail:
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Created Date: 2009-08-11 Completed Date: 2009-11-02 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8805018 Medline TA: Neural Netw Country: United States |
Other Details:
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Languages: eng Pagination: 781-90 Citation Subset: IM |
Affiliation:
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Department of Electrical & Computer Engineering, University of Florida, Gainesville, FL, USA. wangyw@cnel.ufl.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Action Potentials Algorithms Animals Arm Biomechanics Computer Simulation Electrodes, Implanted Haplorhini Information Theory Models, Neurological* Monte Carlo Method Motor Activity / physiology* Motor Cortex / physiology* Neurons / physiology* Poisson Distribution Psychomotor Performance / physiology Somatosensory Cortex / physiology* User-Computer Interface* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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