Decoding of neural signals for movement control

Surgery – Diagnostic testing – Detecting brain electric signal

Reexamination Certificate

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C600S544000, C623S025000

Reexamination Certificate

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07058445

ABSTRACT:
A brain machine interface for decoding neural signals for control of a machine is provided. The brain machine interface estimates and then combines information from two classes of neural activity. A first estimator decodes movement plan information from neural signals representing plan activity. In one embodiment the first estimator includes an adaptive point-process filter or a maximum likelihood filter. A second estimator decodes peri-movement information from neural signals representing peri-movement activity. Each estimator is designed to estimate different aspects of movement such as movement goal variables or movement execution variables.

REFERENCES:
patent: 6171239 (2001-01-01), Humphrey
patent: 6609017 (2003-08-01), Shenoy et al.
patent: 6615076 (2003-09-01), Mitra et al.
patent: 6731964 (2004-05-01), Shenoy et al.
patent: 2003/0023319 (2003-01-01), Andersen et al.
patent: 2003/0078552 (2003-04-01), Mitra et al.
“An Analysis of neural receptive field plasticity by point process adaptive filtering” Brown et al. PNAS Oct. 9, 2001, vol. 98, No. 21, pp. 1221-12266. www.pnas.org/cgi/doi/10.1073/pnas.201409398.
EE. Fetz “Real-time control of a robotic arm by neuronal ensembles”Nature Neurosciencevol. 2, No. 7 pp. 583-584, Jul. 1999.
J.P. Donoghue “Connecting cortex to machines: recent advances in brain interfaces”Nature Neuroscience Supplementvol. 5, pp. 1085-1088, Nov. 2002.
M.A.L. Nicolelis “Action from thought”Naturevol. 409, No. 18, pp. 403-407, Jan. 2001.
D.M. Taylor, S.I. Helms-Tillery, and A.B. Schwartz, “Direct cortical control of 3d neuroprosthetic devices,”Science, vol. 296, No. 3, pp. 1829-1832, Jun. 2002.
J. Wessberg et al., “Real-time prediction of hand trajectory by ensembles of cortical neurons in primates,”Nature, vol. 208, pp. 361-365, Nov. 2000.
J.K. Chapin et al., “Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex,”Nature Neuroscience, vol. 2, No. 7, pp. 664-670, Jul. 1999.
C. Harris and D. Wolpert, “Signal-dependent noise determines motor planning,”Nature, vol. 394, pp. 780-784, Aug. 1998.
B. Hoff, “A model of duration in normal and perturbed reaching movement,”Biological Cybernetic, vol. 71, No. 6, pp. 481-488, Oct. 1994.
C. Koch,Biophysics of Computation, Oxford University Press, 1999.
A.P. Batista and R.A. Andersen, “The parietal reach region codes the next planned movement in a sequential reach task,”Journal of Neurophysiology, vol. 85, No. 2, pp. 539-544, Feb. 2001.
J. Messier and J. Kalaska, “Covariation of primate dorsal premotor cell activity with direction and amplitude during a memorized-delay reaching task,”J. Neurophysiology, vol. 84, No. 1, pp. 152-165, Jul. 2000.
E. Todorov, “Direct cortical control of muscle activation in voluntary arm movements: a model,”Nature Neuroscience, vol. 3, No. 4, pp. 391-398, Apr. 2000.
A.P. Georgopoulos, A.B. Schwartz, and R.E. Kettner, “Neuronal population coding of movement direction,”Science, vol. 233, No. 4771, pp. 1416-1419, Sep. 1986.
B. Amirikian and A. Georgopoulos, “Directional tuning pro-files of motor cortical cells,”Neuroscience Res., vol. 36, No. 1, pp. 73-79, Jan. 2000.
E. Brown et al., “Statistical paradigm for neutral spike train decoding applied to position prediction from the ensemble firing patterns of rat hippocampal place cells,”J. Neuroscience, vol. 18, No. 18, pp. 7411-7425, Sep. 1998.
K. Zhang et al., “Interpreting neuronal population activity by reconstruction: Unified framework with application to hippocampal place cells,”J. Neurophysiology, vol. 79, No. 2, pp. 1017-1044, Feb. 1998.
N. Twum-Danso and R. Brockett, “Trajectory estimation from place cell data,”Neural Networks, vol. 14, No. 6-7, pp. 835-844, Jul. 2001.

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