Applying best practices from digital control systems to BMI implementation

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 1699-1702

  Matlack, Charlie ^a   Moritz, Chet ^a   Chizeck, Howard ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTO-REGRESSIVE; BRAIN MACHINE INTERFACE; DECODING ALGORITHM; GAUSSIAN FILTERS; NEURAL SIGNAL PROCESSING; NEURAL SPIKE; OFFLINE; OUTPUT SIGNAL; RATE ESTIMATION; SAMPLING RATES; SMOOTHING FILTERS;

ALGORITHMS; DECODING; DIGITAL CONTROL SYSTEMS; NEURAL NETWORKS; SIGNAL PROCESSING;

ESTIMATION;

ACTION POTENTIAL; ALGORITHM; ANIMAL; ARTICLE; BIOLOGICAL MODEL; BRAIN COMPUTER INTERFACE; LIMB; MACACA; MOVEMENT (PHYSIOLOGY); NORMAL DISTRIBUTION; PHYSIOLOGY; SIGNAL PROCESSING;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; BRAIN-COMPUTER INTERFACES; EXTREMITIES; MACACA; MODELS, NEUROLOGICAL; MOVEMENT; NORMAL DISTRIBUTION; SIGNAL PROCESSING, COMPUTER-ASSISTED;

MLCS; MLOWN;

EID: 84880806999     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6346275     Document Type: Conference Paper

References (16)

1. J. M. Carmena and K. Ganguly. Emergence of a Stable Cortical Map for Neuroprosthetic Control. PLoS Biology, 7(7):e1000153, 2009.
2. 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, and M. A. L. Nicolelis. Learning to control a brain-machine interface for reaching and grasping by primates. PLoS Biology, 1(2):E42, Nov. 2003.
3. J. P. Cunningham, V. Gilja, S. I. Ryu, and K. V. Shenoy. Methods for estimating neural firing rates, and their application to brain-machine interfaces. Neural Networks: The Official Journal of the International Neural Network Society, 22(9): 1235-46, Nov. 2009.
4. E. E. Fetz. Operant Conditioning of Cortical Unit Activity. Science, 163(3870):955-958, 1969.
5. J. Fisher and M. Black. Motor cortical decoding using an autoregressive moving average model. Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society, 2:2130-3, Jan. 2005.
6. G. J. Gage, K. a. Ludwig, K. J. Otto, E. L. Ionides, and D. R. Kipke. Naive coadaptive cortical control. Journal of Neural Engineering, 2(2):52-63, June 2005.
7. G. J. Gage, K. J. Otto, K. a. Ludwig, and D. R. Kipke. Co-adaptive Kalman filtering in a naïve rat cortical control task. Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society, 6:4367-70, Jan. 2004.
8. L. R. Hochberg, D. Bacher, B. Jarosiewicz, N. Y. Masse, J. D. Simeral, J. Vogel, S. Haddadin, J. Liu, S. S. Cash, P. van der Smagt, and J. P. Donoghue. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature, 485(7398):372-375, May 2012.
9. R. Kalman. A new approach to linear filtering and prediction problems. Journal of Basic Engineering, 82(1):35-45, 1960.
10. Z. Li, J. E. O'Doherty, T. L. Hanson, M. A. Lebedev, C. S. Henriquez, and M. A. L. Nicolelis. Unscented Kalman filter for brain-machine interfaces. PloS One, 4(7):e6243, July 2009.
11. C. T. Moritz and E. E. Fetz. Volitional control of single cortical neurons in a brain-machine interface. Journal of Neural Engineering, 8(2):025017, Apr. 2011.
12. J. O'Doherty, M. Lebedev, T. Hanson, N. Fitzsimmons, and M. Nicolelis. A brain-machine interface instructed by direct in-tracortical microstimulation. Frontiers in Integrative Neuroscience, 3(September):1-10, 2009.
13. L. Paninski, M. R. Fellows, N. G. Hatsopoulos, and J. P. Donoghue. Spatiotemporal tuning of motor cortical neurons for hand position and velocity. Journal of Neurophysiology, 91(1):515-32, 2004.
14. H. Shimazaki and S. Shinomoto. Kernel bandwidth optimization in spike rate estimation. Journal of Computational Neuroscience, 29 (1-2)(2010):171-182, Aug. 2009.
15. E. Stark and M. Abeles. Predicting movement from multiunit activity. The Journal of Neuroscience, 27(31):8387-94, Aug. 2007.
16. J. Wessberg and M. a. L. Nicolelis. Optimizing a linear algorithm for real-time robotic control using chronic cortical ensemble recordings in monkeys. Journal of Cognitive Neuroscience, 16(6): 1022-35, 2004.