Unscented Kalman filter for brain-machine interfaces

PLoS ONE

Volumn 4, Issue 7, 2009, Pages

  Li, Zheng ^a   O'Doherty, Joseph E ^b   Hanson, Timothy L ^c   Levedev, Mikhail A ^c   Henriquez, Craig S ^b,d   Nicolelis, Miguel A L ^b,c,d,e  

^a Duke University   (United States)

^b Duke University   (United States)

^c DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d DUKE UNIVERSITY   (United States)

^e Edmond and Lily Safra International Institute of Neuroscience of Natal   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL EXPERIMENT; ARTICLE; BEHAVIOR; BRAIN MACHINE INTERFACE; BRAIN NERVE CELL; CELL FUNCTION; CELL POPULATION; COMPUTER SYSTEM; CONTROLLED STUDY; DEVICE; ELECTRODE; FILTER; LIMB PROSTHESIS; MATHEMATICAL MODEL; MOTOR PERFORMANCE; MOVEMENT (PHYSIOLOGY); NONHUMAN; PREDICTION; RHESUS MONKEY; ALGORITHM; ANIMAL; ANIMAL BEHAVIOR; BIOLOGICAL MODEL; BRAIN; MACACA MULATTA; PHYSIOLOGY; VALIDATION STUDY;

MACACA MULATTA;

ALGORITHMS; ANIMALS; ARTIFICIAL LIMBS; BEHAVIOR, ANIMAL; BRAIN; MACACA MULATTA; MODELS, BIOLOGICAL;

EID: 67650648694     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0006243     Document Type: Article

References (70)

1. Chapin JK, Moxon KA, Markowitz RS, Nicolelis MA (1999) Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex. Nat Neurosci 2: 664-670.
2. Nicolelis MA (2001) Actions from thoughts. Nature 409: 403-407.
3. Wessberg J, Stambaugh CR, Kralik JD, Beck PD, Laubach M, et al. (2000) Real-time prediction of hand trajectory by ensembles of cortical neurons in primates. Nature 408: 361-365.
4. Donoghue JP, Nurmikko A, Black M, Hochberg LR (2007) Assistive technology and robotic control using motor cortex ensemble-based neural interface systems in humans with tetraplegia. J Physiol 579: 603-611.
5. Lebedev MA, Nicolelis MA (2006) Brain-machine interfaces: past, present and future. Trends Neurosci 29: 536-546.
6. Nicolelis MA (2003) Brain-machine interfaces to restore motor function and probe neural circuits. Nat Rev Neurosci 4: 417-422.
7. Patil PG, Carmena JM, Nicolelis MA, Turner DA (2004) Ensemble recordings of human subcortical neurons as a source of motor control signals for a brain-machine interface. Neurosurgery 55: 27-35. discussion 35-28.
8. Schwartz AB, Cui XT, Weber DJ, Moran DW (2006) Brain-controlled interfaces: movement restoration with neural prosthetics. Neuron 52: 205-220.
9. Bashashati A, Fatourechi M, Ward RK, Birch GE (2007) A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals. J Neural Eng 4: R32-57.
10. Georgopoulos AP, Schwartz AB, Kettner RE (1986) Neuronal population coding of movement direction. Science 233: 1416-1419.
11. Kennedy PR, Bakay RA (1998) Restoration of neural output from a paralyzed patient by a direct brain connection. Neuroreport 9: 1707-1711.
12. Kennedy PR, Bakay RA, Moore MM, Adams K, Goldwaithe J (2000) Direct control of a computer from the human central nervous system. IEEE Trans Rehabil Eng 8: 198-202.
13. Taylor DM, Tillery SI, Schwartz AB (2002) Direct cortical control of 3D neuroprosthetic devices. Science 296: 1829-1832.
14. Wahnoun R, He J, Helms Tillery SI (2006) Selection and parameterization of cortical neurons for neuroprosthetic control. J Neural Eng 3: 162-171.
15. Wahnoun R, Helms Tillery SI, He J (2004) Neuron selection and visual training for population vector based cortical control. pp 4607-4610.
16. Velliste M, Perel S, Spalding MC, Whitford AS, Schwartz AB (2008) Cortical control of a prosthetic arm for self-feeding. Nature 453: 1098-1101.
17. Carmena JM, Lebedev MA, Crist RE, O'Doherty JE, Santucci DM, et al. (2003) Learning to control a brain-machine interface for reaching and grasping by primates. PLoS Biol 1: E42.
18. Hatsopoulos N, Joshi J, O'Leary JG (2004) Decoding continuous and discrete motor behaviors using motor and premotor cortical ensembles. J Neurophysiol 92: 1165-1174.
19. Hochberg LR, Serruya MD, Friehs GM, Mukand JA, Saleh M, et al. (2006) Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature 442: 164-171.
20. Serruya MD, Hatsopoulos NG, Paninski L, Fellows MR, Donoghue JP (2002) Instant neural control of a movement signal. Nature 416: 141-142.
21. Black MJ, Serruya M, Bienenstock E, Gao Y, Wu W, et al. Connecting brains with machines:the neural control of 2D cursor movement. 2003 March 20-22 Capri Island, Italy, pp 580-583.
22. Wu W, Black MJ, Gao Y, Bienenstock E, Serruya M, et al. (2003) Neural Deocoding of Cursor Motion using a Kalman Filter. Advances in Neural Information Processing Systems 15. Cambridge, MA: MIT Press.
23. Wu W, Black MJ, Mumford D, Gao Y, Bienenstock E, et al. (2004) Modeling and decoding motor cortical activity using a switching Kalman filter. IEEE Trans Biomed Eng 51: 933-942.
24. Wu W, Gao Y, Bienenstock E, Donoghue JP, Black MJ (2006) Bayesian population decoding of motor cortical activity using a Kalman filter. Neural Comput 18: 80-118.
25. Brockwell AE, Rojas AL, Kass RE (2004) Recursive bayesian decoding of motor cortical signals by particle filtering. J Neurophysiol 91: 1899-1907.
26. Gao Y, Black M, Bienenstock E, Wu W, Donoghue J (2003) A quantitative comparison of linear and non-linear models of motor cortical activity for the encoding and decoding of arm motions. Capri Island, Italy. pp 189-192.
27. Gao YBM, Bienenstock E, Shoham S, Donoghue JP (2002) Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex. Advances in Neural Information Processing Systems 14. Cambridge, MA: MIT Press.
28. Shoham S, Paninski LM, Fellows MR, Hatsopoulos NG, Donoghue JP, et al. (2005) Statistical encoding model for a primary motor cortical brain-machine interface. IEEE Trans Biomed Eng 52: 1312-1322.
29. Eden U, Truccolo W, Fellows M, Donoghue J, Brown E (2004) Reconstruction of hand movement trajectories from a dynamic ensemble of spiking motor cortical neurons. Conf Proc IEEE Eng Med Biol Soc 6: 4017-4020.
30. Eden UT, Frank LM, Barbieri R, Solo V, Brown EN (2004) Dynamic analysis of neural encoding by point process adaptive filtering. Neural Comput 16: 971-998.
31. Truccolo W, Eden UT, Fellows MR, Donoghue JP, Brown EN (2005) A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects. J Neurophysiol 93: 1074-1089.
32. Truccolo W, Friehs GM, Donoghue JP, Hochberg LR (2008) Primary motor cortex tuning to intended movement kinematics in humans with tetraplegia. J Neurosci 28: 1163-1178.
33. Sanchez JC, Erdogmus D, Rao YN, Kim SP, Nicolelis MA, et al. (2003) Interpreting neural activity through linear and nonlinear models for brain machine interfaces. pp 2160-2163.
34. Sanchez JC, Kim SP, Erdogmus D, Rao YN, Principe JC, et al. (2002) Input-output mapping performance of linear and nonlinear models for estimating hand trajectories from cortical neuronal firing patterns. pp 139-148.
35. Sanchez JC, Principe JC, Carmena JM, Lebedev MA, Nicolelis MA (2004) Simultaneus prediction of four kinematic variables for a brain-machine interface using a single recurrent neural network. Conf Proc IEEE Eng Med Biol Soc 7: 5321-5324.
36. Musallam S, Corneil BD, Greger B, Scherberger H, Andersen RA (2004) Cognitive control signals for neural prosthetics. Science 305: 258-262.
37. Santhanam G, Ryu SI, Yu BM, Afshar A, Shenoy KV (2006) A high-performance brain-computer interface. Nature 442: 195-198.
38. Srinivasan L, Eden UT, Mitter SK, Brown EN (2007) General-purpose filter design for neural prosthetic devices. J Neurophysiol 98: 2456-2475.
39. Doucet A, de Freitas N, Gordon N (2001) Sequential Monte Carlo Methods in Practice: Springer.
40. Babyak MA (2004) What you see may not be what you get: a brief, nontechnical introduction to overfitting in regression-type models. Psychosom Med 66: 411-421.
41. Julier SJ, Uhlmann JK, Durrant-Whyte HF (1995) A new approach for filtering nonlinear systems.
42. Haykin S (1996) Adaptive filter theory. Upper Saddle River, NJ: Prentice Hall.
43. Georgopoulos AP, Kalaska JF, Caminiti R, Massey JT (1982) On the relations between the direction of two-dimensional arm movements and cell discharge in primate motor cortex. J Neurosci 2: 1527-1537.
44. Kim SP, Sanchez JC, Rao YN, Erdogmus D, Carmena JM, et al. (2006) A comparison of optimal MIMO linear and nonlinear models for brain-machine interfaces. J Neural Engineering 3: 145-161.
45. Li Z, O'Doherty JE, Hanson TL, Lebedev MA, Henriquez CS, et al. (2007) N-th order Kalman filter improves the performance of a brain machine interface for reaching. San Diego.
46. Wu W, Shaikhouni A, Donoghue JP, Black MJ (2004) Closed-loop neural control of cursor motion using a Kalman filter. Conf Proc IEEE Eng Med Biol Soc 6: 4126-4129.
47. Barbieri R, Frank LM, Nguyen DP, Quirk MC, Solo V, et al. (2004) A Bayesian decoding algorithm for analysis of information encoding in neural ensembles. Conf Proc IEEE Eng Med Biol Soc 6: 4483-4486.
48. Wang Y, Paiva ARC, Principe JC (2006) A Monte Carlo Sequential Estimation for Point Process Optimum Filtering. pp 2250-2255.
49. Brockwell A, Kass R, Schwartz A (2007) Statistical signal processing and the motor cortex. pp 881-898.
50. Kemere C, Shenoy KV, Meng TH (2004) Model-based neural decoding of reaching movements: a maximum likelihood approach. IEEE Trans Biomed Eng 51: 925-932.
51. Srinivasan L, Eden U, Willsky A, ENB (2005) Goal-directed state equation for tracking reaching movements using neural signals. pp 352-355.
52. Srinivasan L, Eden UT, Willsky AS, Brown EN (2006) A state-space analysis for reconstruction of goal-directed movements using neural signals. Neural Comput 18: 2465-2494.
53. Mulliken GH, Musallam S, Andersen RA (2008) Decoding trajectories from posterior parietal cortex ensembles. J Neurosci 28: 12913-12926.
54. Isaacs RE, Weber DJ, Schwartz AB (2000) Work toward real-time control of a cortical neural prothesis. IEEE Trans Rehabil Eng 8: 196-198.
55. Kim SP, Sanchez JC, Erdogmus D, Rao YN, Wessberg J, et al. (2003) Divide-and-conquer approach for brain machine interfaces: nonlinear mixture of competitive linear models. Neural Netw 16: 865-871.
56. Kim SP, Sanchez JP, Erdogmus D, Rao YN, Principe JC, et al. (2003) Modeling the relation from motor cortical neuronal firing to hand movements using competitive linear filters and a MLP. pp 66-70.
57. Sanchez JC, Erdogmus D, Rao YN, Principe JC, Nicolelis MA, et al. (2003) Learning the contributions of the motor, premotor, and posterior parietal cortices for hand trajectory reconstruction in a brain machine interface. pp 59-62.
58. Shpigelman L, Singer Y, Paz R, Vaadia E (2003) Spikernels: Embedding spiking neurons in inner product spaces. Advances in Neural Information Processing Systems 15. Cambridge, MA: MIT Press.
59. Shpigelman L, Singer Y, Paz R, Vaadia E (2005) Spikernels: predicting arm movements by embedding population spike rate patterns in inner-product spaces. Neural Comput 17: 671-690.
60. Shpigelman LCK, Paz R, Vaadia E, Singer Y (2004) A temporal kernel-based model for tracking hand movements from neural activities. Advances in Neural Information Processing Systems 17. Cambridge, MA: MIT Press.
61. Fisher J, Black M (2005) Motor cortical decoding using an autoregressive moving average model. Conf Proc IEEE Eng Med Biol Soc 2: 2130-2133.
62. Shpigelman L, Lalazar H, Shahar M, Vaadia E (2008) Learning a Novel Visuomotor Task and Performing Four-Dimensional Movements in a Closed Loop Brain-Machine Interface Using an Adaptive Dynamic Kernel Based Algorithm. Salt Lake City, Utah.
63. Ting J-A, D'Souza A, Yamamoto K, Yoshioka T, Hoffman D, et al. (2005) Predicting EMG data from M1 neurons with Variational Bayesian Least Squares. Advances in Neural Information Processing Systems 18. Cambridge, MA: MIT Press.
64. Wan EA, van der Merwe R, Nelson AT (2000) Dual estimation and the Unscented Transform. Advances in Neural Information Processing Systems 12. Cambridge, MA: MIT Press.
65. Grant BD, Li Z, Hanson TL, O'Doherty JE, Lebedev MA, et al. (2007) Automated spike sorting of multiunit data for brain-machine interface applications. San Diego.
66. Ashe J, Georgopoulos AP (1994) Movement parameters and neural activity in motor cortex and area 5. Cereb Cortex 4: 590-600.
67. Moran DW, Schwartz AB (1999) Motor cortical representation of speed and direction during reaching. J Neurophysiol 82: 2676-2692.
68. Fu QG, Flament D, Coltz JD, Ebner TJ (1995) Temporal encoding of movement kinematics in the discharge of primate primary motor and premotor neurons. J Neurophysiol 73: 836-854.
69. Turner RS, Anderson ME (1997) Pallidal discharge related to the kinematics of reaching movements in two dimensions. J Neurophysiol 77: 1051-1074.
70. van der Merwe R (2004) Sigma-point kalman filters for probabilistic inference in dynamic state-space models: Oregon Health and Science University.