Learning mappings in brain machine interfaces with echo state networks

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn V, Issue , 2005, Pages

  Rao, Yadunandana N ^a   Kim, Sung Phil ^a   Sanchez, Justin C ^a   Erdogmus, Deniz ^a   Principe, Jose C ^a   Carmena, Jose M ^b,c   Lebedev, Mikhail A ^b,c   Nicolelis, Miguel A ^b,c,d  

^a UNIVERSITY OF FLORIDA   (United States)

^b DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c DUKE UNIVERSITY   (United States)

^d USA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER NETWORKS; LEARNING SYSTEMS; MAPPING; MATHEMATICAL MODELS; NEURAL NETWORKS; RANDOM PROCESSES;

BRAIN MACHINE INTERFACES (BMI); ECHO STATE NETWORKS (ESN); RECURRENT MULTI-LAYER PERCEPTRON (RMLP); SPARSE MAPPING;

INTERFACES (COMPUTER);

EID: 33646777474     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2005.1416283     Document Type: Conference Paper

References (13)

1. J. Wessberg, C.R. Stambaugh, J.D. Kralik, P.D. Beck, M. Laubach, J.K. Chapin, J. Kim, S.J. Biggs, M.A. Srinivasan, M.A.L. Nicolelis, "Real-time Prediction of Hand Trajectory by Ensembles of Cortical Neurons in Primates," Nature, vol. 408, pp. 361-365, 2000.
2. J.K. Chapin, K.A. Moxon, R.S. Markowitz, M.A.L. Nicolelis, "Real-time Control of a Robot Arm Using Simultaneously Recorded Neurons in the Motor Cortex," Nature Neuroscience, vol. 2, pp. 664-670, 1999.
3. Y. Gao, M.J. Black, E. Bienenstock, W. Wu, J.P. Donoghue, "A Quantitative Comparison of Linear and Non-linear Models of Motor Cortical Activity for the Encoding and Decoding of Arm Motions," IEEE EMBS CNE, Capri, Italy, 2003.
4. A.B. Schwartz, D.M. Taylor, S.I.H. Tillery, "Extraction Algorithms for Cortical Control of Arm Prosthetics," Current Opinion in Neurobiology, vol. 11, pp. 701-708, 2001.
5. M.D. 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.
6. J.C. Sanchez, S.P. Kim, D. Erdogmus, Y.N. Rao, J.C. Principe, J. Wessberg, M.A.L. Nicolelis, "Input-Output Mapping Performance of Linear and Nonlinear Models for Estimating Hand Trajectories from Cortical Neuronal Firing Patterns," Proc. Neural Networks for Signal Processing, pp. 139-148, Martigny, Switzerland, 2002.
7. S.P. Kim, J.C. Sanchez, D. Erdogmus, Y.N. Rao, J.C. Principe, M.A.L. Nicolelis, "Divide-and-Conquer Approach for Brain Machine Interfaces: Nonlinear Mixture of Competitive Linear Models," Neural Networks, vol. 16, no. 5-6, pp. 865-871, Jun 2003.
8. J.M. Carmena, M.A. Lebedev, R.E. Crist, J.E. O'Doherty, D.M. Santucci, D.F. Dimitrov, P.G. Patil, C.S. Henriquez, M.A.L. Nicolelis, "Learning to Control a Brain-Machine Interface for Reaching and Grasping by Primates," PLoS Biology, vol. 1, pp. 193-208, 2003.
9. J.C. Sanchez, D. Erdogmus, J.C. Principe, J. Wessberg, M.A.L. Nicolelis, "A Comparison Between Nonlinear Mappings and Linear State Estimation to Model the Relation from Motor Cortical Neuronal Firing to Hand Movements," SAB'02, pp. 59-65, Scotland, Aug 2002.
10. H. Jaeger, "The "Echo State" Approach to Analyzing and Training Recurrent Neural Networks," GMD Report 148, GMD-German National Research Institute for Computer Science, 2001.
11. W. Maas, T. Natschläger, H. Markram, "Real-time Computing without Stable States: A New Framework for Neural Computation Based on Perturbations," Neural Computation, 14(11):2531-2560, 2002.
12. D.G. Luenberger, Linear and Non-linear Programming, Addison Wesley, 1989.
13. M.A.L. Nicolelis, D. Dimitrov, J.M. Carmena, R. Crist, G. Lehew, J.D. Kralik, S.P. Wise, "Chronic, Multi-Site, Multi-Electrode Recordings in Macaque Monkeys," Proc. National Academy of Sciences of the U.S.A., vol. 100, no. 19, pp. 11041-11046, Sep 2003.