Neural recording stability of chronic electrode arrays in freely behaving primates

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 4387-4391

  Linderman, Michael D ^a   Gilja, Vikash ^a   Santhanam, Gopal ^a   Afshar, Afsheen ^a,b   Ryu, Stephen ^a,c   Meng, Teresa H ^a   Shenoy, Krishna V ^a,c  

^a Stanford University   (United States)

^b STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMPLANTS (SURGICAL); NEUROLOGY; SIGNAL PROCESSING;

ADAPTIVE SIGNAL PROCESSING; ELECTRODE ARRAYS; NEURAL RECORDINGS;

PROSTHETICS;

ALGORITHM; ANIMAL; ARTICLE; ELECTRODE; ELECTRODE IMPLANT; ELECTROPHYSIOLOGY; EQUIPMENT DESIGN; HEAD; MACACA; METABOLISM; METHODOLOGY; MICROELECTRODE; NERVE CELL; REPRODUCIBILITY; THEORETICAL MODEL; TIME;

ALGORITHMS; ANIMALS; ELECTRODES; ELECTRODES, IMPLANTED; ELECTROPHYSIOLOGY; EQUIPMENT DESIGN; HEAD; MACACA; MICROELECTRODES; MODELS, THEORETICAL; NEURONS; REPRODUCIBILITY OF RESULTS; TIME FACTORS;

EID: 34047153387     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.260814     Document Type: Conference Paper

References (13)

1. A. B. Schwartz, "Cortical neural prosthetics," Ann. Rev. of Neuroscience, vol. 27, pp. 487-507, 2004.
2. M. D. Linderman, et al., "An autonomous, broadband, multi-channel neural recording system for freely behaving primates," in Proc. of Conf. of IEEE EMBS, 2006, submitted.
3. M. S. Fee, P. P. Mitra, and D. Kleinfeld, "Variability of extracellular spike waveforms of cortical neurons," J. Neurophysiol., vol. 76, pp. 3823-3833, 1996.
4. S. Suner, et al., "Reliability of signals from a chronically implanted, silicon-based electrode array in non-human primate primary motor cortex," IEEE Trans. Neural Syst. Rehab. Eng., vol. 13, pp. 524-541, 2005.
5. J. C. Williams, R. L. Rennaker, and D. R. Kipke, "Stability of chronic multichannel neural recordings: Implications for a long term neural interface," Neurocomputing, vol. 26-27, pp. 1069-1076, 1999.
6. M. S. Lewicki, "A review of methods for spike sorting: the detection and classification of neural action potentials," Netwok: Comput. Neural Syst., vol. 9, pp. R53-R78, 1998.
7. N. Hatsopoulos, J. Joshi, and J. G. O'Leary, "Decoding continous and discrete behaviors using motor and premotor cortical ensembles," J. Neurophysiol., vol. 92, pp. 1165-1174, 2004.
8. M. Churchland, et al., "Neural variability in premotor cortex provides a signature of motor preparation," J. Neuroscience, vol. 26, pp. 3697-3712, 2006.
9. V. Gilja, et al., "Multiday electrophysiological recordings from freely behaving primates," in Proc. of Conf. of IEEE EMBS, 2006, submitted.
10. M. Sahani, "Latent variable models for neural data analysis," Ph.D. dissertation, California Institute of Technology, 1999.
11. Z. S. Zumsteg, et al., "Power feasbility of implanatable digital spike sorting circuits for neural prosthetic systems," IEEE Trans. Neural Syst. Rehab. Eng., vol. 13, pp. 272-279, 2005.
12. P. T. Watkins, G. Santhanam, K. V. Shenoy, and R. R. Harrison, "Validation of adaptive threshold spike detector for neural recording," in Proc. of Conf. of IEEE EMBS, 2004, pp. 4079-4082.
13. C. Pouzat, M. Delescluse, P. Viot, and J. Diebolt, "Improved spike-sorting by modeling firing statistics and burst-dependent spike amplitude attenuation: A markov chain monte carlo approach," J. Neurophysiol., vol. 91, pp. 2910-2928, 2004.