Modeling the Relation from Motor Cortical Neuronal Firing to Hand Movements Using Competitive Linear Filters and a MLP

Proceedings of the International Joint Conference on Neural Networks

Volumn 1, Issue , 2003, Pages 66-70

  Kim, Sung Phil ^a   Sanchez, Justin C ^a   Erdogmus, Deniz ^a   Rao, Yadunandana N ^a   Principe, Jose C ^a   Nicolelis, Miguel ^b  

^a University of Florida   (United States)

^b DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; NEUROLOGY; SIGNAL PROCESSING;

LINEAR FILTERS;

NEURAL NETWORKS;

EID: 0141573501     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. J. Wessberg, R. Stambaugh, J.F. Kralik, P.D. Beck, M. Laubach, J.K. Chapin, J. Kim, J. Biggs, M.A. Srinivasan, M.A. Nicolelis, "Real-Time Prediction of Hand Trajectory by Ensembles of Cortical Neurons in Primates," Nature, vol. 408, no 6810, pp. 361-365, 2000.
2. D.W. Moran, A.B. Schwartz, "Motor Cortical Activity During Drawing Movements: Population Representation During Spiral Tracing," Journal of Neurophysiology, vol. 82, no. 5, pp. 2693-2704, 1999.
3. J.K. Chapin, K.A. Moxon, R.S. Markowitz, M.A. Nicolelis, "Real-Time Control of a Robot Arm Using Simultaneously Recorded Neurons in the Motor Cortex," Nature Neuroscience, vol. 2, no. 7, pp. 664-670, 1999.
4. M.S. Serruya, N.G. Hatsopoulos, L. Paninski, M.R. Fellows, J.P. Donoghue, "Brain-Machine Interface: Instant Neural Control of a Movement Signal," Nature, vol. 416, pp. 141-142, 2002.
5. J.C. Sanchez, S.P. Kirn, D. Erdogmus, Y.N. Rao, J.C. Principe, J. Wessberg, M.A. Nicolelis, "Input-Output Mapping Performance of Linear and Nonlinear Models for Estimating Hand Trajectories From Cortical Neuronal Firing Patterns," Proceedings of NNSP'02, pp. 139-148, Martigny, Switzerland, 2002.
6. C. Fancourt, J.C. Principe, "Temporal Self-Organization Through Competitive Prediction," Proceedings of ICASSP'96, pp. 3325-3329, 1996.
7. S. Haykin, Adaptive Filter Theory, Prentice-Hall, Upper Saddle River, NJ, 1996.
8. S. Haykin, Neural Networks: A Comprehensive Foundation, New York: Toronto: McMillan: Maxwell McMillan Canada, 1994.
9. A.S. Weigend, M. Mangeas, A.N. Srivastava, "Nonlinear Gated Experts for Time Series: Discovering Regimes and Avoiding Overfitting," International Journal of Neural Systems, vol. 6, pp. 373-399, 1995.