Continuous closed-loop decoder adaptation with a recursive maximum likelihood algorithm allows for rapid performance acquisition in brain-machine interfaces

Neural Computation

Volumn 26, Issue 9, 2014, Pages 1811-1839

  Dangi, Siddharth ^a   Gowda, Suraj ^a   Moorman, Helene G ^b   Orsborn, Amy L ^b   So, Kelvin ^a   Shanechi, Maryam ^a   Carmena, Jose M ^a,b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ALGORITHM; ANIMAL; BRAIN; BRAIN COMPUTER INTERFACE; CALIBRATION; ELECTRODE IMPLANT; MACACA; MALE; MOTOR ACTIVITY; PHYSIOLOGY; STATISTICAL MODEL; TIME;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; BRAIN; BRAIN-COMPUTER INTERFACES; CALIBRATION; ELECTRODES, IMPLANTED; LIKELIHOOD FUNCTIONS; MACACA; MALE; MOTOR ACTIVITY; TIME FACTORS;

EID: 84918842931     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/NECO_a_00632     Document Type: Article

References (45)

1. Carmena, J. M., Lebedev, M. A., Crist, R. E., O'Doherty, J. E., Santucci, D. M., Dimitrov, D. F., . . . Nicolelis, M. A. L. (2003). Learning to control a brain-machine interface for reaching and grasping by primates. PLoS Biology, 1(2), e42.
2. Chapin, J. K., Moxon, K. A., Markowitz, R. S., & Nicolelis, M. A. L. (1999). Realtime control of a robot arm using simultaneously recorded neurons in the motor cortex. Nature Neuroscience, 2(7), 664-670.
3. Chestek, C. A., Gilja, V., Nuyujukian, P., Foster, J. D., Fan, J.M., Kaufman, M. T., . . .Shenoy, K. V. (2011). Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex. Journal of Neural Engineering, 8(4), 045005.
4. Collinger, J. L., Wodlinger, B., Downey, J. E., Wang, W., Tyler-Kabara, E. C., Weber, D. J., . . . Schwartz, A. B. (2013). High-performance neuroprosthetic control by an individual with tetraplegia. Lancet, 381(9866), 557-564. PMID: 23253623.
5. Dangi, S., Gowda, S., Heliot, R., & Carmena, J. M. (2011). Adaptive Kalman filtering for closed-loop brain-machine interface systems. In 2011 5th International IEEE/EMBS Conference on Neural Engineering (pp. 609-612). Piscataway, NJ: IEEE.
6. Dangi, S., So, K., Orsborn, A. L., Gastpar, M. C., & Carmena, J. M. (2013). Brainmachine interface control using broadband spectral power from local field potentials. In Proceedings of the Engineering in Medicine and Biology Society Annual International Conference of the IEEE. Piscataway, NJ: IEEE.
7. Dangi, S., Orsborn, A. L., Moorman, H. G., & Carmena, J. M. (2013). Design and analysis of closed-loop decoder adaptation algorithms for brain-machine interfaces. Neural Computation, 25(7), 1693-1731. PMID: 23607558.
8. Danziger, Z., Fishbach, A., & Mussa-Ivaldi, F. A. (2009). Learning algorithms for human-machine interfaces. IEEE Transactions on Bio-Medical Engineering, 56(5), 1502-1511. PMID: 19203886. PMCID: PMC3286659.
9. Eden, U. T., Frank, L.M., Barbieri, R., Solo, V., & Brown, E. N. (2004). Dynamic analysis of neural encoding by point process adaptive filtering. Neural Computation, 16(5), 971-998.
10. Ethier, C., Oby, E. R., Bauman, M. J., & Miller, L. E. (2012).Restoration of grasp following paralysis through brain-controlled stimulation of muscles. Nature, 485(7398), 368-371.
11. Fetz, E. E. (1969). Operant conditioning of cortical unit activity. Science, 163(3870), 955-958. PMID: 4974291.
12. Gage, G. J., Ludwig, K. A., Otto, K. J., Ionides, E. L., & Kipke, D. R. (2005). Nai{dotless}ve coadaptive cortical control. Journal of Neural Engineering, 2(2), 52-63.
13. Ganguly, K., & Carmena, J. M. (2009). Emergence of a stable cortical map for neuroprosthetic control. PLoS Biology, 7(7), e1000153.
14. Ganguly, K., Dimitrov, D. F., Wallis, J. D., & Carmena, J. M. (2011). Reversible largescale modification of cortical networks during neuroprosthetic control. Nature Neuroscience, 14(5), 662-667.
15. Ganguly, K., Secundo, L., Ranade, G., Orsborn, A., Chang, E. F., Dimitrov, D. F., . . .Carmena, J. M. (2009). Cortical representation of ipsilateral arm movements in monkey and man. Journal of Neuroscience, 29(41), 12948-12956.
16. Gilja, V., Chestek, C. A., Diester, I., Henderson, J. M., Deisseroth, K., & Shenoy, K. V. (2011). Challenges and opportunities for next-generation intracortically based neural prostheses. IEEE Transactions on Bio-Medical Engineering, 58(7), 1891-1899. PMID: 21257365.
17. Gilja, V., Nuyujukian, P., Chestek, C. A., Cunningham, J. P., Yu, B. M., Fan, J. M., . . .Shenoy, K. V. (2012). A high-performance neural prosthesis enabled by control algorithm design. Nature Neuroscience, 15(12), 1752-1757.
18. Heliot, R., Venkatraman, S., & Carmena, J. M. (2010). Decoder remapping to counteract neuron loss in brain-machine interfaces. In Proceedings of the Engineering in Medicine and Biology Society Annual International Conference of the IEEE, 2010 (pp. 1670-1673). Piscataway, NJ: IEEE.
19. Hochberg, L. R., Bacher, D., Jarosiewicz, B., Masse, N. Y., Simeral, J. D., Vogel, J., . . . Donoghue, J. P. (2012). Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature, 485(7398), 372-375. PMID: 22596161.
20. Hochberg, L. R., Serruya, M. D., Friehs, G. M., Mukand, J. A., Saleh, M., Caplan, A. H., . . . Donoghue, J. P. (2006). Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature, 442(7099), 164-171.
21. Jarosiewicz, B., Chase, S. M., Fraser, G.W., Velliste, M., Kass, R. E., & Schwartz, A. B. (2008). Functional network reorganization during learning in a brain-computer interface paradigm. Proceedings of the National Academy of Sciences of the United States of America, 105(49), 19486-19491. PMID: 19047633.
22. Kim, S.-P., Sanchez, J. C., Rao, Y.N., Erdogmus, D., Carmena, J. M., Lebedev, M.A., . . .Principe, J.C. (2006).Acomparison of optimalMIMOlinear and nonlinearmodels for brain-machine interfaces. Journal of Neural Engineering, 3(2), 145-161. PMID: 16705271.
23. Kim, S.-P., Simeral, J. D., Hochberg, L. R., Donoghue, J. P., & Black, M. J. (2008). Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegia. Journal of Neural Engineering, 5(4), 455-476.
24. Koralek, A. C., Jin, X., Ii, J. D. L., Costa, R. M., & Carmena, J. M. (2012). Corticostriatal plasticity is necessary for learning intentional neuroprosthetic skills. Nature, 483(7389), 331-335.
25. Li, Z., O'Doherty, J. E., Lebedev, M. A., & Nicolelis, M.A.L. (2011). Adaptive decoding for brain-machine interfaces through Bayesian parameter updates. Neural Computation, 23(12), 3162-3204.
26. Millan, J., & Carmena, J. (2010). Invasive or noninvasive: Understanding brainmachine interface technology. IEEE Engineering in Medicine and Biology Magazine, 29(1), 16-22.
27. Moritz, C. T., Perlmutter, S. I., & Fetz, E. E. (2008).Direct control of paralysed muscles by cortical neurons. Nature, 456(7222), 639-642.
28. Musallam, S., Corneil, B. D., Greger, B., Scherberger, H., & Andersen, R. A. (2004). Cognitive control signals for neural prosthetics. Science, 305(5681), 258-262.
29. Orsborn, A. L., Dangi, S., Moorman, H. G., & Carmena, J. M. (2011). Exploring timescales of closed-loop decoder adaptation in brain-machine interfaces. Proceedings of the Engineering in Medicine and Biology Society Annual International Conference of the IEEE, 2011 (pp. 5436-5439). Piscataway, NJ: IEEE. PMID: 22255567.
30. Orsborn, A., Dangi, S., Moorman, H., & Carmena, J. (2012). Closed-loop decoder adaptation on intermediate time-scales facilitates rapid BMI performance improvements independent of decoder initialization conditions. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 20, 468-477.
31. Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. (1992). Numerical recipes in C: The art of scientific computing (2nd ed.). Cambridge: Cambridge University Press.
32. Santhanam, G., Ryu, S. I., Yu, B. M., Afshar, A., & Shenoy, K. V. (2006). A highperformance brain-computer interface. Nature, 442(7099), 195-198.
33. Serruya, M. D., Hatsopoulos, N. G., Paninski, L., Fellows, M. R., & Donoghue, J. P. (2002). Instant neural control of a movement signal. Nature, 416(6877), 141-142. PMID: 11894084.
34. Shanechi, M., & Carmena, J. M. (2013). Optimal feedback-controlled point process decoder for adaptation and assisted training in brain-machine interfaces. In Proceedings of the 2013 6th International IEEE/EMBS Conference on Neural Engineering. Piscataway, NJ: IEEE.
35. Shanechi, M., Orsborn, A., Gowda, S., & Carmena, J. (2013). Proficient BMI control enabled by closed-loop adaptation of an optimal feedback-controlled point process decoder. Poster at the Translational and Computation Motor Control Conference, San Diego, CA.
36. Shpigelman, L., Lalazar, H., & Vaadia, E. (2008).Kernel-ARMA for hand tracking and brain-machine interfacing during 3D motor control. In D. Köller, D. Schuurmans, Y. Bengio, & L. Bottou (Eds.), Advances in neural information processing systems, 21. Cambridge, MA: MIT Press.
37. So, K., Dangi, S., Orsborn, A. L., Gastpar, M. C., & Carmena, J. M. (2014). Subjectspecific modulation of local field potential spectral power during brain-machine interface control in primates. Journal of Neural Engineering, 11(2), 026002.
38. Suminski, A. J., Tkach, D. C., Fagg, A. H., & Hatsopoulos, N. G. (2010). Incorporating feedback from multiple sensory modalities enhances Brain-Machine interface control. Journal of Neuroscience, 30(50), 16777-16787.
39. Taylor, D. M., Tillery, S. I. H., & Schwartz, A. B. (2002). Direct cortical control of 3D neuroprosthetic devices. Science, 296(5574), 1829-1832.
40. Velliste, M., Perel, S., Spalding, M. C., Whitford, A. S., & Schwartz, A. B. (2008). Cortical control of a prosthetic arm for self-feeding. Nature, 453(7198), 1098-1101.
41. Wahnoun, R., He, J., & Helms Tillery, S. I. (2006). Selection and parameterization of cortical neurons for neuroprosthetic control. Journal of Neural Engineering, 3(2), 162-171. PMID: 16705272.
42. Wang, W., Collinger, J. L., Degenhart, A. D., Tyler-Kabara, E. C., Schwartz, A. B., Moran, D.W., . . . Boninger, M. L. (2013). An electrocorticographic brain interface in an individual with tetraplegia. PloS One, 8(2), e55344. PMID: 23405137 PMCID: PMC3566209.
43. Wang, Y., & Principe, J. C. (2008). Tracking the non-stationary neuron tuning by dual Kalman filter for brain machine interfaces decoding. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference (pp. 1720-1723). PMID: 19163011. Piscataway, NJ: IEEE.
44. Wolpaw, J. R., & McFarland, D. J. (2004). Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. Proceedings of the National Academy of Sciences of the United States of America, 101(51), 17849-17854. PMID: 15585584.
45. Wu, W., Gao, Y., Bienenstock, E., Donoghue, J. P., & Black, M. J. (2006). Bayesian population decoding of motor cortical activity using a kalman filter. Neural Computation, 18(1), 80-118. PMID: 16354382.