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Analyzing Neural Interaction Characteristics in a Monkey's Motor Cortex during Reach-to-Grasp Tasks
September/October 2011 (vol. 26 no. 5)
pp. 64-71
Dong Sang, Chinese Academy of Sciences
Bin Lv, Chinese Academy of Sciences
Huiguang He, Chinese Academy of Sciences
Ding Wen, National University of Defense Technology, China
Jiping He, Arizona State University, Tempe

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.

Index Terms:
Intelligent systems, brain informatics, computational neuroscience, neural interaction, reach-to-grasp task, dynamic Bayesian networks
Citation:
Dong Sang, Bin Lv, Huiguang He, Ding Wen, Jiping He, "Analyzing Neural Interaction Characteristics in a Monkey's Motor Cortex during Reach-to-Grasp Tasks," IEEE Intelligent Systems, vol. 26, no. 5, pp. 64-71, Sept.-Oct. 2011, doi:10.1109/MIS.2011.62
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