Tracking single units in chronic, large scale, neural recordings for brain machine interface applications

Frontiers in Neuroengineering

Volumn 7, Issue JUL, 2014, Pages

  Eleryan, Ahmed ^a   Vaidya, Mukta ^b   Southerland, Joshua ^c   Badreldin, Islam S ^a   Balasubramanian, Karthikeyan ^b   Fagg, Andrew H ^c   Hatsopoulos, Nicholas ^b   Oweiss, Karim ^a,d  

^a Michigan State University   (United States)

^b UNIVERSITY OF CHICAGO   (United States)

^c UNIVERSITY OF OKLAHOMA   (United States)

^d MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

BMI; ISIH distance; Single units; Stability; Waveforms distance

Indexed keywords

SILICON;

ACCURACY; ANIMAL EXPERIMENT; ARTICLE; BAYESIAN LEARNING; BRAIN COMPUTER INTERFACE; CALIBRATION; CLASSIFICATION ALGORITHM; DATA BASE; DECISION MAKING; EXPERT SYSTEM; HUMAN; HUMAN EXPERIMENT; MICROELECTRODE; NONHUMAN; PRIMARY MOTOR CORTEX; RECORDING; RELEVANCE VECTOR MACHINE; RHESUS MONKEY; SINGLE UNIT ACTIVITY; SPIKE WAVE; SUPPORT VECTOR MACHINE;

EID: 84904035211     PISSN: 16626443     EISSN: None     Source Type: Journal    
DOI: 10.3389/fneng.2014.00023     Document Type: Article

References (42)

1. Aghagolzadeh, M., Mohebi, A., and Oweiss, K. (2013). Sorting and tracking neuronal spikes via simple thresholding. Neural Syst. Rehabil. Eng. IEEE Trans. doi: 10.1109/TNSRE.2013.2289918. [Epub ahead ofprint].
2. Aghagolzadeh, M., and Oweiss, K. (2009). Compressed and distributed sensing of neuronal activity for real time spike train decoding. Neural Syst. Rehabil. Eng. IEEE Trans. 17, 116-127. doi: 10.1109/TNSRE.2009.2012711
3. Balasubramanian, K., Southerland, J., Vaidya, M., Qian, K., Eleryan, A., Fagg, A. H., et al. (2013). Operant conditioning of a multiple degree-of-freedom brain-machine interface in a primate model of amputation, in Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE (New York, NY), 303-306. doi: 10.1109/EMBC.2013. 6609497
4. Bhattacharyya, A. (1943). On a measure of divergence between two statistical populations defined by their probability distributions. Bull. Calcutta Math. Soc. 35,4.
5. Bichot, C.-E., and Siarry, P. (2013). Graph Partitioning. New York, NY: John Wiley &Sons.
6. Bishop, C. M. (2006). Pattern Recognition and Machine Learning, Vol. 1. New York, NY: Springer.
7. Buzsâki, G. (2004). Large-scale recording of neuronal ensembles. Nat. Neurosci. 7, 446-451. doi: 10.1038/nn1233
8. Carmena, J. M., Lebedev, M. A., Henriquez, C. S., and Nicolelis, M. A. (2005). Stable ensemble performance with single-neuron variability during reaching movements in primates. J. Neurosci. 25, 10712-10716. doi: 10.1523/JNEUR0SCI.2772-05.2005
9. Chen, D., and Fetz, E. E. (2005). Characteristic membrane potential trajectories in primate sensorimotor cortex neurons recorded in vivo. J. Neurophysiol. 94, 2713-2725. doi: 10.1152/jn.00024.2005
10. Chestek, C. A., Batista, A. P., Santhanam, G., Byron, M. Y., Afshar, A., Cunningham, J. P., et al. (2007). Single-neuron stability during repeated reaching in macaque premotor cortex. J. Neurosci. 27, 10742-10750. doi: 10.1523/JNEUROSCI.0959-07.2007
11. Cormen, T. H., Leiserson, C. E., Rivest, R. L., and Stein C. (2001). Introduction to Algorithms, Vol. 2, Cambridge: MIT press.
12. Dickey, A. S., Suminski, A., Amit, Y., and Hatsopoulos, N. G. (2009). Single-unit stability using chronically implanted multielectrode arrays. J. Neurophysiol. 102, 1331. doi: 10.1152/jn.90920.2008
13. Domingos, P., and Pazzani, M. (1997). On the optimality of the simple bayesian classifier under zero-one loss. Mach. Learn. 29, 103-130. doi: 10.1023/A:1007413511361
14. Fraser, G. W., and Schwartz, A. B. (2012). Recording from the same neurons chronically in motor cortex. J. Neurophysiol. 107, 1970. doi: 10.1152/jn. 01012.2010
15. Ganguly, K., and Carmena, J. M. (2009). Emergence of a stable cortical map for neuroprosthetic control. PLoS Biol. 7:e1000153. doi: 10.1371/jour- nal.pbio.1000153
16. Ganguly, K., and Carmena, J. M. (2010). Neural correlates of skill acquisition with a cortical brain-machine interface. J. Mot. Behav. 42, 355-360. doi: 10.1080/00222895.2010.526457
17. Gürel, T., and Mehring, C. (2012). Unsupervised adaptation of brain-machine interface decoders. Front. Neurosci. 6:164. doi: 10.3389/fnins.2012.00164
18. Hikosaka, O., Nakamura, K., Sakai, K., and Nakahara, H. (2002). Central mechanisms of motor skill learning. Curr. Opin. Neurobiol. 12, 217-222. doi: 10.1016/S0959-4388(02)00307-0
19. Hochberg, L. R., Bacher, D., Jarosiewicz, B., Masse, N. Y., Simeral, J. D., Vogel, J., et al. (2012). Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature 485, 372-375. doi: 10.1038/ nature11076
20. Homer, M. L., Nurmikko, A. V., Donoghue, J. P., and Hochberg, L. R. (2013). Sensors and decoding for intracortical brain computer interfaces. Ann. Rev. Biomed. Eng. 15, 383-405. doi: 10.1146/annurev-bioeng-071910- 124640
21. Jackson, A., and Fetz, E. E. (2007). Compact movable microwire array for longterm chronic unit recording in cerebral cortex of primates. J. Neurophysiol. 98, 3109. doi: 10.1152/jn.00569.2007
22. Johnson, D., and Sinanovic, S. (2001). SymmetrizingTheKullback-LeiblerDistance. Technical Report, Rice University.
23. Karumbaiah, L., Saxena, T., Carlson, D., Patil, K., Patkar, R., Gaupp, E. A., et al. (2013). Relationship between intracortical electrode design and chronic recording function. Biomaterials 34, 8061-8074. doi: 10.1016/j.biomaterials.2013.07.016
24. Kim, S.-P., Simeral, J. D., Hochberg, L. R., Donoghue, J. P., and Black, M. J. (2008). Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegia. J. Neural Eng. 5, 455. doi: 10.1088/17412560/5/4/010
25. Koyama, S., Chase, S. M., Whitford, A. S., Velliste, M., Schwartz, A. B., and Kass, R. E. (2010). Comparison of brain-computer interface decoding algorithms in open-loop and closed-loop control. J. Comput. Neurosci. 29, 73-87. doi: 10.1007/s10827-009-0196-9
26. Kullback, S., and Leibler, R. A. (1951). On information and sufficiency. Ann. Math. Stat. 22, 79-86.
27. Linderman, M. D., Gilja, V., Santhanam, G., Afshar, A., Ryu, S., Meng, T. H., et al. (2006). "Neural recording stability of chronic electrode arrays in freely behaving primates, in Engineering in Medicine and Biology Society, 2006. EMBS'06. 28th Annual International Conference of the IEEE (New York, NY), 4387-4391.
28. Liu, X., McCreery, D. B., Carter, R. R., Bullara, L. A., Yuen, T. G., and Agnew, W. F. (1999). Stability of the interface between neural tissue and chronically implanted intracortical microelectrodes. Rehabil. Eng. IEEE Trans. 7, 315-326. doi: 10.1109/86.788468
29. Manning, C. D., Raghavan, P., and Schütze, H. (2008). Introduction to Information Retrieval, Vol. 1, Cambridge: Cambridge university press. doi: 10.1017/CBO9780511809071
30. Nicolelis, M. A., Dimitrov, D., Carmena, J. M., Crist, R., Lehew, G., Kralik, J. D., et al. (2003). Chronic, multisite, multielectrode recordings in macaque monkeys. Proc. Natl. Acad. Sci. U.S.A. 100, 11041-11046. doi: 10.1073/pnas.1934665100
31. Nikolic, D., Muresan, R. C., Feng, W., and Singer, W. (2012). Scaled correlation analysis: a better way to compute a cross-correlogram. Eur. J. Neurosci. 35, 742-762. doi: 10.1111/j.1460-9568.2011.07987.x
32. Oweiss, K. G. (2010). Statistical Signal Processing for Neuroscience and Neurotechnology. Academic Press.
33. Perge, J. A., Homer, M. L., Malik, W. Q., Cash, S., Eskandar, E., Friehs, G., et al. (2013). Intra-day signal instabilities affect decoding performance in an intra- cortical neural interface system. J. Neural Eng. 10, 036004. doi: 10.1088/17412560/10/3/036004
34. Rousche, P. J., and Normann, R. A. (1998). Chronic recording capability of the utah intracortical electrode array in cat sensory cortex. J. Neurosci. Methods 82, 1-15. doi: 10.1016/S0165-0270(98)00031-4
35. Rubner, Y., Tomasi, C., and Guibas, L. J. (1998). "A metric for distributions with applications to image databases, in Computer Vision, 1998. Sixth International Conference on (New York, NY), 59-66.
36. Serruya, M. D., Hatsopoulos, N. G., Paninski, L., Fellows, M. R., and Donoghue, J. P. (2002). Brain-machine interface: instant neural control of a movement signal. Nature 416, 141-142. doi: 10.1038/416141a
37. Strelkov, V. (2008). A new similarity measure for histogram comparison and its application in time series analysis. Patt. Recogn. Lett. 29, 1768-1774. doi: 10.1016/j.patrec.2008.05.002
38. Suminski, A. J., Tkach, D. C., Fagg, A. H., and Hatsopoulos, N. G. (2010). Incorporating feedback from multiple sensory modalities enhances brain-machine interface control. J. Neurosci. 30, 16777-16787. doi: 10.1523/JNEUROSCI.3967-10.2010
39. Suner, S., Fellows, M. R., Vargas-Irwin, C., Nakata, G. K., and Donoghue, J. P. (2005). Reliability of signals from a chronically implanted, silicon- based electrode array in non-human primate primary motor cortex. Neural Syst. Rehabil. Eng. IEEE Trans. 13, 524-541. doi: 10.1109/TNSRE.2005. 857687
40. Tolias, A. S., Ecker, A. S., Siapas, A. G., Hoenselaar, A., Keliris, G. A., and Logothetis, N. K. (2007). Recording chronically from the same neurons in awake, behaving primates. J. Neurophysiol. 98, 3780-3790. doi: 10.1152/jn.00260.2007
41. Torrione, P., Keene, S., and Morton, K. (2011). PRT: The Pattern Recognition Toolboxfor MATLAB. Available online at: http://newfolderconsulting.com/prt
42. Velliste, M., Perel, S., Spalding, M. C., Whitford, A. S., and Schwartz, A. B. (2008). Cortical control of a prosthetic arm for self-feeding. Nature 453, 1098-1101. doi: 10.1038/nature06996