Unsupervised classification of neural spikes with a hybrid multilayer artificial neural network

Journal of Neuroscience Methods

Volumn 82, Issue 1, 1998, Pages 59-73

  García, Patricio ^a   Suárez, Carmen Paz ^b   Rodríguez, Javier ^a   Rodríguez, Manuel ^a  

^a UNIVERSIDAD DE LA LAGUNA   (Spain)

^b UNIVERSITY OF LAS PALMAS DE GRAN CANARIA   (Spain)

Author keywords

Kohonen network; Multiple unit recording; Neural network; Sanger network; Spike Discriminator

Indexed keywords

ACCURACY; ANIMAL TISSUE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN FUNCTION; CELL POPULATION; MALE; MATHEMATICAL ANALYSIS; NEUROANATOMY; NONHUMAN; PRIORITY JOURNAL; RAT; WAVEFORM;

ANIMALS; ARTIFACTS; EVOKED POTENTIALS; MALE; MATHEMATICS; NEURAL NETWORKS (COMPUTER); RATS; RATS, SPRAGUE-DAWLEY; SENSITIVITY AND SPECIFICITY;

EID: 0039770760     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0270(98)00035-1     Document Type: Article

References (44)

1. Abeles M. Local Cortical Circuits: An Electrophysiological Study. Berlin: Springer-Verlag, 1982.
2. Abeles M. Corticonics: Neural Circuits of the Cerebral Cortex. Cambridge: Cambridge University Press, 1991.
3. Abeles M., Goldstein M.H. Multispike train analysis. Proc IEEE. 65:1977;762-773.
4. Atiya A.F. Recognition of multiunit neural signals. IEEE Trans Biomed Eng. 39:1992;723-729.
5. Bankman IN. Automated Recognition of Action Potentials in Extracelular Recordings, Rethinking Neural Networks: Quantum Fields and Biological Data. Lea. 1993;69-92.
6. Bergman H., DeLong M.R. J Neurosci Methods. 41:1992;187-197.
7. Castellano M.A., Rodríguez M. Nigrostriatal dopaminergic cell activity is under control by substantia nigra of the contralateral brain side: electrophysiological evidence. Brain Res Bull. 27:1991;213-218.
8. Castellano M.A., Rivero F.L., Rodríguez M. Spontaneous firing of nigrostriatal dopaminergic neurons in split-brain rats. Neurosci Lett. 162:1993;1-4.
9. Chiodo L.A. Dopamine-containing neurons in the mammalian central nervous system: electrophysiology and pharmacology. Neurosci Biobehav Rev. 12:1988;49-91.
10. Eggermont JJ. The Correlative Brain: Theory and Experiment in Neural Interaction. Berlin: Springer-Verlag, 1990.
11. Freeman J.A. A simple multichannel spike height discriminator. J Appl Physiol. 31:1971;939-941.
12. García-Báez P, Suárez-Araujo CP, Rodríguez-González J, Rodríguez M. Automated computational neural system for classification of neural waveforms in extracellular multineuron recordings. In: Proceedings of the Fifth International Symposium on Biomedical Engineering, 1994:194-7.
13. García-Báez P, Rodríguez-González FJ, Rodríguez-Díaz M, Suárez-Araujo CP. Sistema modular de computación neuronal para la clasificación neuronal en registros multineuronales extracelulares. In: Suárez-Araujo CP, Regidor García J, editors. Neurociencia y Computación Neuronal., Las Palmas, 1996a:283-92.
14. García-Báez P, Suárez-Araujo CP, Rodríguez M, Rodríguez J. Clasificación y reconstrucción de potenciales de acción en registros extracelulares multineuronales mediante una red neuronal artificial modular. In: Tr. XIV Cong. Soc. Esp. de Ing. Biomédica, Santiago de Compostel, 1996b:205-7.
15. Gerstein G.L., Perkel D.H., Dayhoff J.E. Cooperative firing activity in simultaneously recorded populations of neurons: detection and measurement. J Neurosci. 5:1985;881-889.
16. Glaser EM. Separation of Neural Activity by Waveform Analysis, Advances in Biomedical Engineering, vol. 1. New York: Academic Press, 1971:77-136.
17. Grace A.A., Bunney B.S. Intracellular and extracellular electrophysiology of nigral dopaminergic neurons-1. Identification and characterization. Neuroscience. 10:1983;301-315.
18. Grace A.A., Bunney B.S. The control of firing pattern in nigral dopaminergic neurons: burst firing. J Neurosci. 4:1984;2877-2890.
19. Groves PM, Wilson CJ, MacGregor RJ. Neuronal interactions in the substantia nigra revealed by statistical analysis of neuronal spike trains. In: Gerattini S, Pujol JF, Samanin R, editors. Interaction between Putative Neurotransmitters in the Brain. New York: Raven Press, 1978:191-225.
20. Gonzalez C., Rodríguez M. A flexible perforated microelectrode array probe for action potential recording in nerve and muscle. J Neurosci Methods. 72:1997;189-195.
21. Jansen R.F. The reconstruction of individual spike trains from extracellular multineuron recordings using a neural network emulation program. J Neurosci Methods. 35:1990;203-213.
22. Jansen R.F., Maat A.T. Automatic wave form classification of extracellular multineuron recordings. J Neurosci Methods. 42:1992;123-132.
23. Joffroy M. Méthode de discrimination des potentiels unitaires constituant láctivite complexe dún filet nerveux non-sectionné J Physiol. 70:1975;239-252.
24. Kohonen T. Self-Organization and Associative Memory, 3rd ed. Heidelberg: Springer-Verlag, 1989.
25. Kohonen T. The self-organizing map. Proc IEEE. 78:1990;1464-1480.
26. Kohonen T. Things You Haven't Heard about the Self-Organizing Map. IEEE 1993:1147-56.
27. Krüger J. Spike train correlations on slow time scales in monkey visual cortex. In: Krüger J, editor. Neuronal Cooperativity. Berlin: Springer-Verlag, 1991:105-32.
28. Lemon R. Methods for Neuronal Recording in Conscious Animals. Chichester: Wiley, 1984.
29. Marion-Poll F., Tobin T.R. Software filter for detecting spikes superimposed on a fluctuating baseline. J Neurosci Sci. 37:1991;1-6.
30. MacNichol E.F., Jacobs A.H. Electronic device for measuring reciprocal time intervals. Rev Sci Instr. 26:1955;1176-1180.
31. McNaughton B.L., O'Keefe J., Barnes C.A. The stereottrode: A new technique for simultaneous isolation of several single units in the central nervous system from multiple unit records. J Neurosci Methods. 8:1983;391-397.
32. Millar J. A 'wavegate' spike discriminator for sorting extracellular nerve action potentials. J Neurosci Methods. 7:1983;157-164.
33. Paxinos G, Watson C. The rat brain in stereotaxic coordinates. Sydney:Academic Press, 1986.
34. Rodríguez M, Barroso N. Beta-phenylethylamine regulation of dopaminergic nigrostriatal cell activity. Brain Res. 1995;703:210-7.
35. Sabah N.H., Sarhan A. Peak-detecting window discriminator. Med Biol Eng Comput. 15:1977;205-206.
36. Salganicoff M., Sarna M., Sax L., Gerstein G.L. Unsupervised waveform classification for multi-neuron recordings: a real-time, software-based system. 1. algorithms and implementation. J Neurosci Methods. 25:1988;181-187.
37. Sanger T.D. Optimal unsupervised learning in a single-layer feedforward neural network. Neural Networks. 2:1989;459-473.
38. Sarna M.F., Gochin P., Kaltenbach J., Salganicoff M., Gerstein G.L. Unsupervised waveform classification for multi-neuron recordings: A real-time software-based system. II. Performance comparison on the other sorters. J Nuerosci Methods. 25:1988;189-196.
39. Schmidt E.M. Instruments for sorting neuroelectric data: a review. J Neurosci Methods. 12:1984;1-24.
40. Schmidt E.M. Computer separation of multi-unit neuroelectric data: a review. J Neurosci Methods. 12:1984;95-111.
41. Shah S., Luttges M.W., Faller W.E. Fuzzy logic techniques in multineuron studies. IEEE Eng Med Biol. November/December:1994;743-753.
42. Suárez-Araujo CP. Neurociencia y computación neuronal: una perspectiva. In: Suárez-Araujo CP, Regidor-García J, editors. Neurociencia y Computación Neuronal 1996:251-66.
43. Vibert J.F., Costa J. Spike separation in multiunit records: a multivariate analysis of spike descriptive parameters. Electroencephal Clin Neurophysiol. 47:1979;172-182.
44. Yang X., Shamma S.A. A totally automated system for the detection and classification of neural spikes. IEEE Trans Biomed Eng. 35:1988;806-815.