Technology and signal processing for brain-machine interfaces

IEEE Signal Processing Magazine

Volumn 25, Issue 1, 2008, Pages 29-40

  Sanchez, Justin C ^a   Principe, Jose C ^b   Nishida, Toshikazu ^c   Bashirullah, Rizwan ^c   Harris, John G ^c,d   Fortes, José A B ^b  

^a UNIVERSITY OF FLORIDA COLLEGE OF MEDICINE   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

^c University of Florida   (United States)

^d Hybrid Signal Processing Group

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; NEUROLOGY; NEURONS; PATIENT REHABILITATION; SIGNAL PROCESSING;

BRAIN-MACHINE INTERFACES; GOAL-DIRECTED BEHAVIOR; MULTI-INPUT MULTI-OUTPUT SYSTEMS;

HUMAN COMPUTER INTERACTION;

EID: 85032751242     PISSN: 10535888     EISSN: None     Source Type: Journal    
DOI: 10.1109/MSP.2008.4408440     Document Type: Article

References (38)

1. K. Morris, "New-wave neurotechnology: Small-scale makes big promises," Lancet Neurol., vol. 3, no. 4, p. 202, 2004.
2. T.M. Vaughan and J.R. Wolpaw, "The third international meeting on brain-computer interface technology: Making a difference," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 14, no. 2, pp. 126-127, June 2006.
3. J.P. Donoghue, "Connecting cortex to machines: Recent advances in brain interfaces," Nature Neurosci., vol. 5, pp. 1085-1088, 2002.
4. F.A. Mussa-Ivaldi and L.E. Miller, "Brain-machine interfaces: Computational demands and clinical needs meet basic neuroscience," Trends Neurosci., vol. 26, no. 6, pp. 329-334, 2003.
5. A.K. Engel, C.K.E. Moll, I. Fried, and G.A. Ojemann, "Invasive recordings from the human brain: Clinical insights and beyond," Nat. Rev. Neurosci., vol. 6, no. 1, pp. 35-47, 2005.
6. J.R. Wolpaw, N. Birbaumer, D.J. McFarland, G. Pfurscheller, and T.M. Vaughan, "Brain-computer interfaces for communication and control," Clin. Neurophysiol., vol. 113, no. 96, pp. 767-791, 2002.
7. J.K. Chapin and K.A. Moxon, "Neural prostheses for restoration of sensory and motor function, in Methods and New Frontiers in Neuroscience. Boca Raton, FL: CRC, 2001.
8. E.N. Brown, R.E. Kass, and P.P. Mitra, "Multiple neural spike train data analysis: State-of-the-art and future challenges," Nat. Neurosci., vol. 7, no. 5, pp. 456-461, 2004.
9. J.C. Sanchez, A. Gunduz, P.R. Carney, and J.C. Principe, "Extraction and localization of mesoscopic motor control signals for human ECoG neuroprosthetics," J. Neurosci. Methods, to be published.
10. R.A. Andersen, S. Musallam, and B. Pesaran, "Selecting the signals for a brain-machine interface," Curr. Opin. Neurobiol., vol. 14, no. 6, pp. 720-726, 2004.
11. S.P. Kim, J.M. Carmena, M.A.L. Nicolelis, and J.C. Principe, "Multiresolution analysis and data mining of neural spikes for brain-machine interfaces," in Proc. 2nd Int. IEEE EBMS Conf. Neural Engineering, Arlington, VA, Mar. 2005, pp. 221-224.
12. J.C. Sanchez and J.C. Principe, "Optimal signal processing for brain-machine interfaces," in Handbook of Neural Engineeiing, M. Akay, Ed. Hoboken, NJ: Wiley, 2006.
13. J.C. Sanchez, J.M. Carmena, M.A. Lebedev, M.A.L. Nicolelis, J.G. Harris, and J.C. Principe, "Ascertaining the importance of neurons to develop better brain machine interfaces," IEEE Trans. Biomed. Eng., vol. 51, no. 6, pp. 943-953, 2003.
14. S.P. Kim, J.C. Sanchez, Y.N. Rao, D. Erdogmus, J.C. Principe, J.M. Carmena, M.A. Lebedev, and M.A.L. Nicolelis, "A comparison of optimal MIMO linear and nonlinear models for brain-machine interfaces," J. Neural Eng., vol. 3, no. 2, pp. 145-161, 2006.
15. E. Salinas and T.J. Sejnowski, "Correlated neuronal activity and the flow of neural information," Nat. Rev. Neurosci., vol. 2, no. 8, pp. 539-550, 2001.
16. A.R.C. Paiva, I. Park, J.C. Príncipe, T.B. DeMarse, and J.C. Sanchez, "An information measure of temporal structure for multichannel spike trains," Neural Computat., submitted for publication.
17. Y. Wang, A.R.C. Paiva, and J.C. Principe, "A Monte Carlo sequential estimation for point process optimum filtering," in Proc. IJCNN, Vancouver, 2006, pp. 1846-1850.
18. J. DiGiovanna, B. Mahmoudi, J. Mitzelfelt, J.C. Sanchez, and J.C. Principe, "Brain-machine interface control via reinforcement learning," in Proc. 3rd Int. IEEE EMBS Conf. Neural Engineering, Kohala Coast, Hawaii, May 2007, pp. 530-533.
19. S.I. Helms Tillery, D.M. Taylor, and A.B. Schwartz, "Training in cortical control of neuroprosthetic devices improves signal extraction from small neuronal ensembles," Rev. Neurosci., vol. 14, pp. 107-119, 2003.
20. V. Polikov, P.A. Tresco, and W.M. Reichert, "Response of brain tissue to chronically implanted neural electrodes," J. Neurosci. Methods vol. 148, no. 1, pp. 1-18, 2005.
21. M.A.L. Nicolelis, D. Dimitrov, J.M. Carmena, R. Crist, G. Lehew, J.D. Kralik, and S.P. Wise, "Chronic, multi-site, multi-electrode recordings in macaque monkeys," Proc. Natl. Acad. Sci. USA, vol. 100, no. 19, pp. 11041-11046, 2003.
22. R.J. Vetter, J.C. Williams, J.F. Hetke, E.A. Nunamaker, and D.R. Kipke, "Chronic neural recording using silicon-substrate microelectrode arrays implanted in cerebral cortex," IEEE Trans. Biomed. Eng., vol. 51, pp. 896-904, June 2004.
23. J.G. Cham, E.A. Branchaud, Z. Nenadic, B. Greger, R.A. Andersen, and J.W. Burdick, "Semi-chronic motorized microdrive and control algorithm for autonomously isolating and maintaining optimal extracellular action potentials," J. Neurophysiol., vol. 93, pp. 570-579, Jan. 2005.
24. P.J. Rousche and R.A. Normann, "A method for pneumatically inserting an array of penetrating electrodes into cortical tissue," Ann. Biomed. Eng., vol. 20, no. 4, pp. 413-422, 1992.
25. K.D. Wise, D.J. Anderson, J.F. Hetke, D.R. Kipke, and K. Najafi, "Wireless implantable microsystems: High-density electronic interfaces to the nervous system," Proc. IEEE, vol. 92, no. 1, pp. 76-97, Jan. 2004.
26. E.M. Maynard, C.T. Nordhausen, and R.A. Normann, "The Utah Intracortical Electrode Array: A recording structure for potential brain-computer interfaces," Electroencephalogr. Clin. Neurophysiol. vol. 102, no. 3, pp. 228-239, Mar. 1997.
27. E. Patrick, M. Ordonez, N. Alba, J.C. Sanchez, and T. Nishida, "Design and fabrication of a flexible substrate microelectrode array for brain machine interfaces," in Proc. 28th Annu. Int. Conf. IEEE EMBS, New York, Aug. 2006, pp. 2966-2969.
28. M.S. Fee and A. Leonardo, "Miniature motorized microdrive and commutator system for chronic neural recording in small animals," J. Neurosci. Methods, vol. 112, no. 2, pp. 83-94, 2001.
29. H.G. Craighead, C.D. James, and A.M.P. Turner, "Chemical and topographical patterning for directed cell attachment," Current Opin. Solid State Mat. Sci., vol. 5, no. 2, pp. 177-184, 2001.
30. K.A. Moxon, N.M. Kalkhoran, M. Markert, M.A. Sambito, J.L. McKenzie, and J.T. Webster, "Nanostructured surface modification of ceramic-based microelectrodes to enhance biocompatibility for a direct brain-machine interface," IEEE Trans. Biomed. Eng., vol. 51, no. 6, pp. 881-889, 2004.
31. T.J. Webster, M.C. Waid, J.L. McKenzie, R.L. Price, and J.U. Ejiofor, "Nanobiotechnology: Carbon nanofibres as improved neural and orthopaedic implants," Nanotechnol., vol. 15, pp. 48-54, 2004.
32. V. Lovat, D. Pantarotto, L. Lagostena, B. Cacciari, M. Grandolfo, M. Righi, G. Spalluto, M. Prato, and L. Ballerini, "Carbon nanotube substrates boost neuronal electrical signaling," Nano Lett., vol. 5, pp. 1107-1110, June 2005.
33. R. Bashirullah, J.G. Harris, J.C. Sanchez, T. Nishida, and J.C. Principe, "Florida wireless implantable recording electrodes (FWIRE) for brain machine interfaces," in Proc. IEEE Symp. Circuits and Systems, New Orleans, LA, May 2007, pp. 2084-2087.
34. R.R. Harrison and C. Charles, "A low-power low-noise CMOS amplifier for neural recording applications," IEEE J. Solid-State Circuits, vol. 38, no. 6, pp. 958-965, 2003.
35. A.M. Sodagar, G.E. Perlin, Y. Yao, K. Najafi, and K.D. Wise, "Chronic neural recording with a 64-channel cortical microsystem," in Proc. IEEE EMBS Conf. Neural Engineering, Hawaii, May 2007, pp. 402-405.
36. D. Chen, J.G. Harris, and J.C. Principe, "A bio-amplifier with pulse output," in Proc. 26th Annu. Int. Conf. IEEE EMBS, San Francisco, CA, Sept. 2004, pp. 4071-4074.
37. D. Wei and J.G. Harris, "Signal reconstruction from spiking neuron models," in Proc. Int. Symp. Circuits and Systems, Vancouver, May 2004, pp. 353-356.
38. J. DiGiovanna, L. Marchal, P. Rattanatamrong, M. Zhao, S. Darmanjian, B. Mahmoudi, J.C. Sanchez, J.C. Principe, L. Hermer-Vazquez, R. Figueiredo, and J. Fortes, "Towards real-time distributed signal modeling for brain machine interfaces," in Proc. Int. Conf. Computational Science, Beijing, China, 2007, pp. 964-971.