Abstract
The issue of classification has long been a central topic in the analysis of multielectrode data, either for spike sorting or for getting insight into interactions among ensembles of neurons. Related to coding, many multivariate statistical techniques such as linear discriminant analysis (LDA) or artificial neural networks (ANN) have been used for dealing with the classification problem providing very similar performances. This is, there is no method that stands out from others and the right decision about which one to use is mainly depending on the particular cases demands. Therefore, we developed and validated a simple method for classification based on two different behaviours: periodicity and latency response. The method consists of creating sets of relatives by defining an initial set of templates based on the autocorrelograms or peristimulus time histograms (PSTHs) of the units and grouping them according to a minimal Euclidian distance among the units in a class and maximizing it among different classes. It is shown here the efficiency of the method for identifying coherent subpopulations within multineuron populations.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Secker, H., Searle, C.: Time Domain Analysis of Auditory-Nerve Fibers Firing Rates. J. Acoust. Soc. Am. 88, 1427–1436 (1990)
Buck, L.B.: Information Coding in the vertebrate olfactory system. Ann. Rev. Neurosci. 19, 517–544 (1996)
Fitzhugh, R.A.: A Statistical Analyzer for Optic Nerve Messages. J. Gen. Physiology 41, 675–692 (1958)
Warland, D., Reinagel, P., Meister, M.: Decoding Visual Information from a Population of Retinal Ganglion Cells. J. Neurophysiology 78, 2336–2350 (1997)
Fernández, E., Ferrández, J.M., Ammermüller, J., Normann, R.A.: Population Coding in spike trains of sinultaneosly recorded retinal ganglion cells Information. Brain Research 887, 222–229 (2000)
Tovee, M.J., Rolls, E.T., Treves, A., Bellis, R.P.: Encoding and the Responses of Single Neurons in the Primate Temporal Visual Cortex. Journal of Neurophysiology 70, 640–654 (1993)
Ferrández, J.M., Bolea, J.A., Ammermüller, J., Normann, R.A., Fernández, E.: A Neural Network Approach for the Analysis of Multineural Recordings in Retinal Ganglion Cells: Towards Population Encoding. In: Mira, J. (ed.) IWANN 1999. LNCS, vol. 1607, pp. 289–298. Springer, Heidelberg (1999)
MacQueen, J.: Some methods for classification and analysis of multivariate observations. In: Le Cam, L.M., Neyman, J. (eds.) Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, University of California Press, Berkeley (1967)
Sim, A.W.K., Jin, C., Chan, L.W., Leong, P.H.W.: A comparison of methods for clustering of electrophysiological multineuron recordings. IEEE Engineering in Medicine and Biology Society, pp. 1381–1384 (1998)
Jones, K.E., Campbell, P.K., Normann, R.A.: A glass/silicon composite intracortical electrode array. Annals of Biomedical Engineering 20, 423–437 (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bonomini, M.P., Ferrandez, J.M., Bolea, J.A., Fernandez, E. (2005). Formulation and Validation of a Method for Classifying Neurons from Multielectrode Recordings. In: Mira, J., Álvarez, J.R. (eds) Mechanisms, Symbols, and Models Underlying Cognition. IWINAC 2005. Lecture Notes in Computer Science, vol 3561. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11499220_7
Download citation
DOI: https://doi.org/10.1007/11499220_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26298-5
Online ISBN: 978-3-540-31672-5
eBook Packages: Computer ScienceComputer Science (R0)