Neural spike classification using parallel selection of all algorithm parameters

Journal of Neuroscience Methods

Volumn 137, Issue 2, 2004, Pages 291-298

  Turnquist, Brian ^a,b   Leverentz, Mark ^a   Swanson, Erin ^a  

^a BETHEL UNIVERSITY   (United States)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Forster Handwerker algorithm; Parallel computation; Spike discrimination

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NERVE CELL; PRIORITY JOURNAL; SAMPLING; SPIKE WAVE;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; INFORMATION STORAGE AND RETRIEVAL; NEURAL NETWORKS (COMPUTER); NEURONS;

EID: 3242723187     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2004.02.030     Document Type: Article

References (8)

1. Day W.E. The complexity of computing metric distances between partitions. Math. Soc. Sci. 1:1981;269-287
2. Forster C., Handwerker H. Automatic classification and analysis of microneurographic spike data using a PC/AT. J. Neurosci. Methods. 31:1990;109-118
3. Gropp W, Lusk E, Skjellum A, Thakur R. Using MPI. 2nd ed. Portable Parallel programming with the message passing interface. MIT Press; 1999.
4. Kohonen T. Self-organized formation of topologically correct feature maps. Biol. Cybern. 43:1982;59-69
5. Lewicki M. A review of methods for spike sorting: the detection and classification of neural action potentials. Comput. Neural Syst. 9:1998;R53-R78
6. Restle F.A. Metric and an ordering on sets. Psychometrika. 24(3):1959;207-220
7. Ringkamp M., Peng Y.B., Wu G., Hartke T.V., Campbell J.N., Meyer R.A. Capsaicin responses in heat-sensitive and heat-insensitive a-fiber nociceptors. J. Neurosci. 21(12):2001;4460-4468
8. Sterling T, Salmon J, Becker D, Savarese D. How to build a beowulf: a guide to the implementation and application of PC clusters. MIT Press; 1999.