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Feature Extraction by Burst-Like Spike Patterns in Multiple Sensory Maps

Metzner, Walter and Koch, Christof and Wessel, Ralf and Gabbiani, Fabrizio (1998) Feature Extraction by Burst-Like Spike Patterns in Multiple Sensory Maps. Journal of Neuroscience, 18 (6). pp. 2283-2300. ISSN 0270-6474. http://resolver.caltech.edu/CaltechAUTHORS:20130816-103215218

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Abstract

In most sensory systems, higher order central neurons extract those stimulus features from the sensory periphery that are behaviorally relevant (e.g., Marr, 1982; Heiligenberg, 1991). Recent studies have quantified the time-varying information carried by spike trains of sensory neurons in various systems using stimulus estimation methods (Bialek et al., 1991; Wessel et al., 1996). Here, we address the question of how this information is transferred from the sensory neuron level to higher order neurons across multiple sensory maps by using the electrosensory system in weakly electric fish as a model. To determine how electric field amplitude modulations are temporally encoded and processed at two subsequent stages of the amplitude coding pathway, we recorded the responses of P-type afferents and E- and I-type pyramidal cells in the electrosensory lateral line lobe (ELL) to random distortions of a mimic of the fish’s own electric field. Cells in two of the three somatotopically organized ELL maps were studied (centromedial and lateral) (Maler, 1979; Carr and Maler, 1986). Linear and second order nonlinear stimulus estimation methods indicated that in contrast to P-receptor afferents, pyramidal cells did not reliably encode time-varying information about any function of the stimulus obtained by linear filtering and half-wave rectification. Two pattern classifiers were applied to discriminate stimulus waveforms preceding the occurrence or nonoccurrence of pyramidal cell spikes in response to the stimulus. These signal-detection methods revealed that pyramidal cells reliably encoded the presence of upstrokes and downstrokes in random amplitude modulations by short bursts of spikes. Furthermore, among the different cell types in the ELL, I-type pyramidal cells in the centromedial map performed a better pattern-recognition task than those in the lateral map and than E-type pyramidal cells in either map.


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http://www.jneurosci.org/content/18/6/2283.abstractPublisherArticle
Additional Information:Copyright © 1998 Society for Neuroscience. Received Oct. 20, 1997; revised Dec. 23, 1997; accepted Jan. 7, 1998. This research was supported by grants from the National Science Foundation (NSF), The Sloan Center for Theoretical Neuroscience, the Center for Neuromorphic Systems Engineering as part of the NSF Engineering Research Center Program, and Academic Research Awards from the University of California at Riverside. We thank M. Konishi, L. Maler, S. Viete, G. Kreiman, and C. Condon for valuable comments on this manuscript, as well as M. Meister and F. Theunissen for discussion.
Group:Koch Laboratory, KLAB
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Funding AgencyGrant Number
NSFUNSPECIFIED
Sloan Center for Theoretical NeuroscienceUNSPECIFIED
Center for Neuromorphic Systems Engineering, CaltechUNSPECIFIED
Academic Research Awards from the University of California at RiversideUNSPECIFIED
Subject Keywords:stimulus estimation; signal detection; statistical pattern recognition; temporal coding; electric fish; Eigenmannia
Record Number:CaltechAUTHORS:20130816-103215218
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20130816-103215218
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:40473
Collection:CaltechAUTHORS
Deposited By: KLAB Import
Deposited On:26 Jan 2008 04:26
Last Modified:03 Apr 2014 20:51

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