This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
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.

1. M. Jeannerod, "The Timing of Natural Prehension Movements," J. Motor Behavior, vol. 16, no. 3, 1984, p. 235.
2. F. Jing and H. Jiping, "Motor Cortical Encoding of Hand Orientation in a 3-D Reach-to-Grasp Task," Proc. 28th Ann. IEEE Int'l Conf. Eng. Medicine and Biology Soc. (EMBS 06), IEEE Press, 2006, pp. 5472–5475.
3. L. Bin et al., "Evaluating Neural Interaction in Motor Cortex During Reach-to-Grasp Task from the Spike Train Data," Proc. 2nd Int'l Conf. Biomedical Eng. and Informatics (BMEI 09), IEEE Press, 2009, pp. 1–4.
4. E.N. Brown, R.E. Kass, and P.P. Mitra, "Multiple Neural Spike Train Data Analysis: State-of-the-Art and Future Challenges," Nature Neuroscience, vol. 7, no. 5, 2004, pp. 456–461.
5. C.W.J. Granger, "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica: J. Econometric Soc., vol. 37, no. 3, 1969, pp. 424–438.
6. M.J. Kaminski and K.J. Blinowska, "A New Method of the Description of the Information Flow in the Brain Structures," Biological Cybernetics, vol. 65, no. 3, 1991, pp. 203–210.
7. K. Sameshima and L.A. Baccalá, "Using Partial Directed Coherence to Describe Neuronal Ensemble Interactions," J. Neuroscience Methods, vol. 94, no. 1, 1999, pp. 93–103.
8. O. Sporns, "Graph Theory Methods for the Analysis of Neural Connectivity Patterns," Neuroscience Databases. A Practical Guide, R. Kötter, 2002, pp. 169–183.
9. S. Eldawlatly et al., "On the Use of Dynamic Bayesian Networks in Reconstructing Functional Neuronal Networks from Spike Train Ensembles," Neural Computation, vol. 22, no. 1, 2010, pp. 158–189.
10. S. Dong et al., "Analysis of Neural Interaction in Motor Cortex During Reach-to-Grasp Task Based on Dynamic Bayesian Networks," Proc. Ann. IEEE Int'l Conf. Eng. Medicine and Biology Soc. (EMBC), IEEE Press, 2010, pp. 4140–4143.
11. D. Heckerman, D. Geiger, and D.M. Chickering, "Learning Bayesian Networks: The Combination of Knowledge and Statistical Data," Machine Learning, vol. 20, no. 3, pp. 197–243.
12. J. Yu et al., "Advances to Bayesian Network Inference for Generating Causal Networks from Observational Biological Data," Bioinformatics, vol. 20, no. 18, 2004, pp. 3594–3603.
13. K.P. Murphy, "Dynamic Bayesian Networks: Representation, Inference and Learning," doctoral thesis, Computer Science Division, Univ. of California Berkeley, 2002.
14. H. Abdi, "The Rv Coefficient and the Congruence Coefficient," Encyclopedia of Measurement and Statistics, Sage, 2007, pp. 849–853.

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
Usage of this product signifies your acceptance of the Terms of Use.