Document Detail


Delayed excitatory and inhibitory feedback shape neural information transmission.
MedLine Citation:
PMID:  16383655     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Feedback circuitry with conduction and synaptic delays is ubiquitous in the nervous system. Yet the effects of delayed feedback on sensory processing of natural signals are poorly understood. This study explores the consequences of delayed excitatory and inhibitory feedback inputs on the processing of sensory information. We show, through numerical simulations and theory, that excitatory and inhibitory feedback can alter the firing frequency response of stochastic neurons in opposite ways by creating dynamical resonances, which in turn lead to information resonances (i.e., increased information transfer for specific ranges of input frequencies). The resonances are created at the expense of decreased information transfer in other frequency ranges. Using linear response theory for stochastically firing neurons, we explain how feedback signals shape the neural transfer function for a single neuron as a function of network size. We also find that balanced excitatory and inhibitory feedback can further enhance information tuning while maintaining a constant mean firing rate. Finally, we apply this theory to in vivo experimental data from weakly electric fish in which the feedback loop can be opened. We show that it qualitatively predicts the observed effects of inhibitory feedback. Our study of feedback excitation and inhibition reveals a possible mechanism by which optimal processing may be achieved over selected frequency ranges.
Authors:
Maurice J Chacron; André Longtin; Leonard Maler
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2005-11-14
Journal Detail:
Title:  Physical review. E, Statistical, nonlinear, and soft matter physics     Volume:  72     ISSN:  1539-3755     ISO Abbreviation:  Phys Rev E Stat Nonlin Soft Matter Phys     Publication Date:  2005 Nov 
Date Detail:
Created Date:  2005-12-30     Completed Date:  2006-03-29     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  101136452     Medline TA:  Phys Rev E Stat Nonlin Soft Matter Phys     Country:  United States    
Other Details:
Languages:  eng     Pagination:  051917     Citation Subset:  IM    
Affiliation:
Department of Physics, University of Ottawa, 150 Louis Pasteur, Ottawa, Canada K1N 6N5.
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MeSH Terms
Descriptor/Qualifier:
Action Potentials / physiology*
Animals
Biological Clocks / physiology
Computer Simulation
Electric Fish
Electric Organ / physiology
Excitatory Postsynaptic Potentials / physiology*
Feedback / physiology
Information Storage and Retrieval / methods
Models, Neurological*
Nerve Net / physiology*
Neural Inhibition / physiology*
Neurons, Afferent / physiology*
Sense Organs / physiology*
Time Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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