DocumentCode :
1278126
Title :
Analyzing Neural Interaction Characteristics in a Monkey´s Motor Cortex during Reach-to-Grasp Tasks
Author :
Sang, Dong ; Lv, Bin ; He, Huiguang ; Ding Wen ; He, Jiping
Author_Institution :
State Key Lab. of Intell. Control & Manage. of Complex Syst., Chinese Acad. of Sci., Beijing, China
Volume :
26
Issue :
5
fYear :
2011
Firstpage :
64
Lastpage :
71
Abstract :
Applying a dynamic Bayesian network model can help detect neural interactions and analyze the characteristics of a monkey´s motor cortex during reach-to-grasp tasks.
Keywords :
Bayes methods; brain models; medical computing; neural nets; neurophysiology; dynamic Bayesian network model; monkey motor cortex; neural interaction characteristic; reach-to-grasp task; Bayesian methods; Bioinformatics; Informatics; Intelligent systems; Markov processes; Neural networks; Neuroscience; Intelligent systems; brain informatics; computational neuroscience; dynamic Bayesian networks; neural interaction; reach-to-grasp task;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2011.62
Filename :
5959143
Link To Document :
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