Stream-based Hebbian eigenfilter for real-time neuronal spike discrimination

BioMedical Engineering Online

Volumn 11, Issue , 2012, Pages

  Yu, Bo ^a   Mak, Terrence ^b,c   Li, Xiangyu ^a   Smith, Leslie ^d   Sun, Yihe ^a   Poon, Chi Sang ^e  

^a TSINGHUA UNIVERSITY   (China)

^b NEWCASTLE UNIVERSITY   (United Kingdom)

^c NEWCASTLE UNIVERSITY   (United Kingdom)

^d UNIVERSITY OF STIRLING   (United Kingdom)

^e MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Brain machine interface; Hardware; Hebbian eigenfilter; Principal component analysis; Spike sorting

Indexed keywords

BRAIN MACHINE INTERFACE; COMPUTATIONALLY EFFICIENT; COVARIANCE ANALYSIS; EIGENFILTER; EIGENVALUE DECOMPOSITION; FIELD PROGRAMMABLE LOGIC; HARDWARE COST; HARDWARE IMPLEMENTATIONS; HARDWARE RESOURCES; HEBBIAN; HEBBIAN ALGORITHM; LARGE SIZES; LOGIC RESOURCES; MEMORY REQUIREMENTS; MEMORY RESOURCES; MULTI-CHANNEL; MULTI-CHANNEL RECORDING; NEURAL RECORDINGS; NEW DESIGN; NUMERICAL OPERATIONS; PCA ALGORITHMS; PRINCIPAL COMPONENTS; SPIKE-SORTING; STORAGE REQUIREMENTS;

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER HARDWARE; COMPUTER HARDWARE DESCRIPTION LANGUAGES; EIGENVALUES AND EIGENFUNCTIONS; PRINCIPAL COMPONENT ANALYSIS;

HARDWARE;

ACTION POTENTIAL; ALGORITHM; ARTICLE; CYTOLOGY; HUMAN; LABORATORY DIAGNOSIS; METHODOLOGY; NERVE CELL; PHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS; SIGNAL NOISE RATIO; SIGNAL PROCESSING; TIME;

ACTION POTENTIALS; ALGORITHMS; FALSE POSITIVE REACTIONS; HUMANS; NEURONS; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SIGNAL-TO-NOISE RATIO; TIME FACTORS;

EID: 84859508545     PISSN: None     EISSN: 1475925X     Source Type: Journal    
DOI: 10.1186/1475-925X-11-18     Document Type: Article

References (34)

1. Warren D, Fernandez E, Normann R. High-resolution two-dimensional spatial mapping of cat striate cortex using a 100-microelectode array. Neuroscience 2001, 105:19-31. 10.1016/S0306-4522(01)00174-9, 11483297.
2. Maynard EM, Nordhausen CT, Normann RA. The Utah intracortical electrode array: A recording structure for potential brain-computer interfaces. Electroencephalogr Clin Neurophysiol 1997, 102(3):228-239. 10.1016/S0013-4694(96)95176-0, 9129578.
3. Normann RA, Maynard EM, Rousche PJ, Warren DJ. A neural interface for a cortical vision prosthes. Vision Res 1999, 39(15):2577-2587. 10.1016/S0042-6989(99)00040-1, 10396626.
4. Rousche PJ, Pellinen DS, Pivin DP, Williams JC, Vetter RJ, Kipke DR. Flexible polyimide-based intracortical electrode arrays with bioactive capability. IEEE Trans Biomed Eng 2001, 48(3):361-371. 10.1109/10.914800, 11327505.
5. Imfeld K, Neukom S, Maccione A, Bornat Y, Martinoia S, Farine P, Koudelka-Hep M, Berdondini L. Large-scale, high-resolution data acquisition system for extracellular recording of electrophysiological activity. IEEE Trans Biomed Eng 2008, 55(8):2064-2073.
6. Berdondini L, Massobrio P, Chiappalone M, Tedesco M, Imfeld K, Maccione A, Koudelka-Hep M, Martinoia S. Extracellular recordings from locally dense microelectrode arrays coupled to dissociated cortical cultures. J Neuroscience Methods 2009, 177:386-396.
7. Frey U, Egert U, Heer F, Hafizovic S, Hierlemann A. Microelectronic system for high-resolution mapping of extracellular electric fields applied to brain slices. Biosens Bioelectron 2009, 24:2191-2198. 10.1016/j.bios.2008.11.028, 19157842.
8. Hierlemann A, Frey U, Hafizovic S, Heer F. Growing cells atop microelectronic chips: Interfacing electrogenic cells in vitro with CMOS-based microelectrode arrays. Proc IEEE 2011, 99(2):252-284.
9. Blankertz B, Dornhege G, Krauledat M, Mller K, Kunzmann V, Losch F, Curio G. The Berlin brain-computer interface: EEG based communication without subject training. IEEE Trans Neural Syst Rehabil Eng 2006, 14(2):147-152. 10.1109/TNSRE.2006.875557, 16792281.
10. Gunduz A, Sanchez JC, Carney PR, Principe JC. Mapping broadband electrocorticographic recordings to two-dimensional hand trajectories in Humans. Neural Netw special issue on Brain-Machine Interfaces 2009, 22(9):1257-1270.
11. Gandolfo M, Maccione A, Tedesco M, Martinoia S, Berdondini L. Tracking burst patterns in Hippocampal cultures with high-density CMOS-MEAs. J Neural Eng 2010, 7(5):056001. 10.1088/1741-2560/7/5/056001, 20720282.
12. Vogt A, Wrobel G, Meyer W, Knoll W, Offenhausser A. Synaptic plasticity in micro patterned neuronal networks. Biomaterials 2005, 26(15):2549-2557. 10.1016/j.biomaterials.2004.07.031, 15585257.
13. Puchalla J, Schneidman E, Harris R, Berry M. Redundancy in the population code of the retina. Neuron 2005, 46:493-504. 10.1016/j.neuron.2005.03.026, 15882648.
14. Santhanam G, Ryu SI, Yu BM, Afshar A, Shenoy V. A high-performance brain-computer interface. Nature 2006, 442:195-198. 10.1038/nature04968, 16838020.
15. Nicolelis MAL. Brain-machine interfaces to restore motor function and probe neural circuits. Nat Rev Neurosci 2003, 4:417-422. 10.1038/nrn1105, 12728268.
16. Hochberg LR, Serruya MD, Friehs GM, Mukand JA, Saleh M, Caplan AH, Branner A, Chen D, Penn RD, Donoghue JP. Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature 2006, 442:164-171. 10.1038/nature04970, 16838014.
17. Linderman M, Santhanam G, Kemere C, Gilja V, O'Driscoll S, Yu BM, Afshar A, Ryu SI, Shenoy KV, Meng TH. Signal processing challenges for neural prostheses. IEEE Signal Processing Magzine 2008, 25:18-28.
18. Lewicki M. A review of methods for spike sorting: the detection and classification of neural action potentials. Network: Comput Neural Syst 1998, 9:53-78.
19. Zumsteg Z, Kemere C, O'Driscoll S, Santhanam G, Ahmed R, Shenoy K, Meng T. Power feasibility of implantable digital spike sorting circuits for neural prosthetic systems. IEEE Trans Neural Syst Rehabil Eng 2005, 13:272-279. 10.1109/TNSRE.2005.854307, 16200751.
20. Carmena J, Lebedev M, Crist RE, O'Doherty J, Santucci D, Dimitrov D, Patil P, Henriquez C, Nicolelis MA. Learning to control a brain-machine interface for reaching and grasping by primates. PLoS Biol 2003, 1(2):193-208.
21. Obeid I, Wolf P. Evaluation of spike-detection algorithms for a brain-machine interface application. IEEE Trans Biomed Engin 2004, 51(6):905-911.
22. Kim K, Kim S. Neural spike sorting under nearly 0-dB signal-to-noise ratio using nonlinear energy operator and artificial neural-network classifier. IEEE Trans Biomed Eng 2000, 47:1406-1411. 10.1109/10.871415, 11059176.
23. Plexon. , http://www.plexon.com/plexon_products.html
24. Yu B, Mak T, Li X, Xia F, Yakovlev A, Sun Y, Poon CS. Real-time FPGA-based multi-channel spike sorting using Hebbian eigenfilters. IEEE Journal on Emerg and Selected Topics in Circuits and Syst 2011, 1(4):502-515.
25. Haykin SS. Neural networks and learning machines 2009, New York: Prentice Hall.
26. Quiroga R, Nadasdy Z, Ben-Shaul Y. Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering. Neural Comput 2004, 8:1661-1687.
27. Wave clus. , http://www2.le.ac.uk/departments/engineering/research/bioengineering/neuroengineering-lab/spike-sorting.html
28. Harris K, Henze D, Csicsvari K, Hirase H. Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements. J Neurophysiol 2000, 84:401-414.
29. Smith L, Mtetwa N. A tool for synthesizing spike trains with realistic interference. J Neurosci Methods 2007, 159:170-180. 10.1016/j.jneumeth.2006.06.019, 16887194.
30. MacQueen J. Some methods for classification and analysis of multivariate observations. Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, Berkeley, University of California Press 1967, 1:281-297.
31. Golub G, Loan C. Matrix computation 1996, The Johns Hopkins University Press.
32. Chen T, Chen K, Yang Z, Cockerham K, Liu W. A biomedical multiprocessor SoC for close-loop neuroprosthetic application. IEEE International Solid-State Circuits Conference 2009, 434-435.
33. Kuon I, Rose J. Measuring the gap between FPGAs and ASICs. ACM/SIGDA International Symposium on Field-Programmable Gate Arrays 2006, 21-30.
34. Compton K, Hauck S. Automatic design of area-efficient configurable ASIC cores. IEEE Trans Comput 2007, 56(5):662-672.