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Detecting and Estimating Signals in Noisy Cable Structures, I: Neuronal Noise Sources

Manwani, Amit and Koch, Christof (1999) Detecting and Estimating Signals in Noisy Cable Structures, I: Neuronal Noise Sources. Neural Computation, 11 (8). pp. 1797-1829. ISSN 0899-7667. http://resolver.caltech.edu/CaltechAUTHORS:20111207-093327219

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Abstract

In recent theoretical approaches addressing the problem of neural coding, tools from statistical estimation and information theory have been applied to quantify the ability of neurons to transmit information through their spike outputs. These techniques, though fairly general, ignore the specific nature of neuronal processing in terms of its known biophysical properties. However, a systematic study of processing at various stages in a biophysically faithful model of a single neuron can identify the role of each stage in information transfer. Toward this end, we carry out a theoretical analysis of the information loss of a synaptic signal propagating along a linear, one-dimensional, weakly active cable due to neuronal noise sources along the way, using both a signal reconstruction and a signal detection paradigm. Here we begin such an analysis by quantitatively characterizing three sources of membrane noise: (1) thermal noise due to the passive membrane resistance, (2) noise due to stochastic openings and closings of voltage-gated membrane channels (Na^+ and K^+), and (3) noise due to random, background synaptic activity. Using analytical expressions for the power spectral densities of these noise sources, we compare their magnitudes in the case of a patch of membrane from a cortical pyramidal cell and explore their dependence on different biophysical parameters.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1162/089976699300015972 DOIArticle
http://www.mitpressjournals.org/doi/abs/10.1162/089976699300015972PublisherArticle
Additional Information:© 1999 Massachusetts Institute of Technology. Received August 14, 1998; accepted November 19, 1998. Posted Online March 13, 2006. This research was supported by NSF, NIMH, and the Sloan Center for Theoretical Neuroscience. We thank Idan Segev, Yosef Yarom, and Elad Schneidman for their comments and suggestions and Harold Lecar and Fabrizio Gabbiani for illuminating discussions.
Group:Koch Laboratory, KLAB
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Funding AgencyGrant Number
NSFUNSPECIFIED
National Institute of Mental Health (NIMH)UNSPECIFIED
Sloan Center for Theoretical NeuroscienceUNSPECIFIED
Record Number:CaltechAUTHORS:20111207-093327219
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20111207-093327219
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:28336
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:11 Jan 2012 21:55
Last Modified:30 Sep 2013 23:24

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