A high-performance neural prosthesis enabled by control algorithm design

Nature Neuroscience

Volumn 15, Issue 12, 2012, Pages 1752-1757

  Gilja, Vikash ^a,b   Nuyujukian, Paul ^a,c   Chestek, Cindy A ^a,b   Cunningham, John P ^a,d   Yu, Byron M ^a,b,e,f   Fan, Joline M ^a   Churchland, Mark M ^a,b   Kaufman, Matthew T ^b   Kao, Jonathan C ^a   Ryu, Stephen I ^a,g   Shenoy, Krishna V ^a,b  

^a Stanford University   (United States)

^b STANFORD UNIVERSITY   (United States)

^c STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^e UNIVERSITY COLLEGE LONDON   (United Kingdom)

^f CARNEGIE MELLON UNIVERSITY   (United States)

^g PALO ALTO MEDICAL FOUNDATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANALYSIS; ANIMAL EXPERIMENT; ARTICLE; CONTROLLED STUDY; ELECTRODE; MOTOR CORTEX; NEUROPROSTHESIS; NONHUMAN; PRIORITY JOURNAL; RECALIBRATED FEEDBACK INTENTION TRAINED KALMAN FILTER; RHESUS MONKEY;

ALGORITHMS; ANIMALS; ELECTRODES, IMPLANTED; MACACA; MALE; NEURAL PROSTHESES; PHOTIC STIMULATION; PSYCHOMOTOR PERFORMANCE;

EID: 84870499789     PISSN: 10976256     EISSN: 15461726     Source Type: Journal    
DOI: 10.1038/nn.3265     Document Type: Article

References (34)

1. Serruya, M.D., Hatsopoulos, N.G., Paninski, L., Fellows, M.R. & Donoghue, J.P. Instant neural control of a movement signal. Nature 416, 141-142 (2002). (Pubitemid 34246464)
2. Taylor, D.M., Tillery, S.I. & Schwartz, A.B. Direct cortical control of 3D neuroprosthetic devices. Science 296, 1829-1832 (2002). (Pubitemid 34596262)
3. Carmena, J.M. et al. Learning to control a brain-machine interface for reaching and grasping by primates. PLoS Biol. 1, E42 (2003).
4. Velliste, M., Perel, S., Spalding, M.C., Whitford, A.S. & Schwartz, A.B. Cortical control of a prosthetic arm for self-feeding. Nature 453, 1098-1101 (2008). (Pubitemid 351871735)
5. Mulliken, G.H., Musallam, S. & Andersen, R.A. Decoding trajectories from posterior parietal cortex ensembles. J. Neurosci. 28, 12913-12926 (2008).
6. Shpigelman, L., Lalazar, H. & Vaadia, E. Kernel-arma for hand tracking and brain-machine interfacing during 3D motor control. Adv. Neural Info. Proc. Sys. 21, 1489-1496 (2009).
7. Ganguly, K. & Carmena, J.M. Emergence of a stable cortical map for neuroprosthetic control. PLoS Biol. 7, e1000153 (2009).
8. Suminski, A.J., Tkach, D.C., Fagg, A.H. & Hatsopoulos, N.G. Incorporating feedback from multiple sensory modalities enhances brain-machine interface control. J. Neurosci. 30, 16777-16787 (2010).
9. Li, Z., O'Doherty, J.E., Lebedev, M.A. & Nicolelis, M.A. Adaptive decoding for brain-machine interfaces through bayesian parameter updates. Neural Comput. 23, 3162-3204 (2011).
10. Hochberg, L.R. et al. Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature 442, 164-171 (2006). (Pubitemid 44086558)
11. Kim, S.P., Simeral, J.D., Hochberg, L.R., Donoghue, J.P. & Black, M.J. Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegia. J. Neural Eng. 5, 455-476 (2008).
12. Kim, S.P. et al. Point-and-click cursor control with an intracortical neural interface system in humans with tetraplegia. IEEE Trans. Neural Syst. Rehabil. Eng. 19, 193-203 (2011).
13. Hochberg, L.R. et al. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature 485, 372-375 (2012).
14. Judy, J. Neural interfaces for upper-limb prosthesis control: opportunities to improve long-term reliability. IEEE Pulse 3, 57-60 (2012).
15. Chestek, C.A. et al. Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex. J. Neural Eng. 8, 045005 (2011).
16. Cunningham, J.P. et al. A closed-loop human simulator for investigating the role of feedback-control in brain-machine interfaces. J. Neurophysiol. 105, 1932-1949 (2011).
17. Churchland, M.M., Cunningham, J.P., Kaufman, M.T., Ryu, S.I. & Shenoy, K.V. Cortical preparatory activity: representation of movement or first cog in a dynamical machine? Neuron 68, 387-400 (2010).
18. Kaufman, M.T. et al. Roles of monkey premotor neuron classes in movement preparation and execution. J. Neurophysiol. 104, 799-810 (2010).
19. Sadtler, P.T., Ryu, S.I., Yu, B.M., & Batista, A.P. High-performance neural prosthetic control along instructed paths. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2011, 601-604 (2011).
20. Gage, G.J., Ludwig, K.A., Otto, K.J., Ionides, E.L. & Kipke, D.R. Naive coadaptive cortical control. J. Neural Eng. 2, 52-63 (2005).
21. Fraser, G.W., Chase, S.M., Whitford, A. & Schwartz, A.B. Control of a brain-computer interface without spike sorting. J. Neural Eng. 6, 055004 (2009).
22. Chase, S.M., Schwartz, A.B., & Kass, R.E. Bias, optimal linear estimation and the differences between open-loop simulation and closed-loop performance of spiking-based brain-computer interface algorithms. Neural Networks 22, 1203-1213 (2009).
23. Srinivasan, L., Eden, U.T., Mitter, S.K. & Brown, E.N. General-purpose filter design for neural prosthetic devices. J. Neurophysiol. 98, 2456-2475 (2007). (Pubitemid 47591663)
24. Yu, B.M. et al. Mixture of trajectory models for neural decoding of goal-directed movements. J. Neurophysiol. 97, 3763-3780 (2007). (Pubitemid 47084787)
25. Card, S.K., English, W.K. & Burr, B.J. Evaluation of mouse, rate-controlled isometric joystick, step keys, and text keys for text selection on a CRT. Ergonomics 21, 601-613 (1978). (Pubitemid 9008716)
26. Kalaska, J.F. From intention to action: motor cortex and the control of reaching movements. Adv. Exp. Med. Biol. 629, 139-178 (2009).
27. Golub, M.D., Yu, B.M. & Chase, S.M. Internal models engaged by brain-computer interface control. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2012, 1327-1330 (2012).
28. Chestek, C.A. et al. Neural prosthetic systems: current problems and future directions. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2009, 3369-3375 (2009).
29. Santhanam, G. et al. HermesB: a continuous neural recording system for freely behaving primates. IEEE Trans. Biomed. Eng. 54, 2037-2050 (2007). (Pubitemid 350006065)
30. Hochberg, L.R. Turning thought into action. N. Engl. J. Med. 359, 1175-1177 (2008).
31. McFarland, D.J., Sarnacki, W.A. & Wolpaw, J.R. Electroencephalographic (EEG) control of three-dimensional movement. J. Neural Eng. 7, 036007 (2010).
32. Schalk, G. et al. Two-dimensional movement control using electrocorticographic signals in humans. J. Neural Eng. 5, 75-84 (2008). (Pubitemid 351366605)
33. Gilja, V. et al. Challenges and opportunities for next-generation intra-cortically based neural prostheses. IEEE Trans. Biomed. Eng. 58, 1891-1899 (2011).
34. Santhanam, G., Ryu, S.I., Yu, B.M., Afshar, A. & Shenoy, K.V. A high-performance brain-computer interface. Nature 442, 195-198 (2006). (Pubitemid 44086565)