Document Detail


Noise, not stimulus entropy, determines neural information rate.
MedLine Citation:
PMID:  12435922     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In the quest for deciphering the neural code, theoretical advances were made which allow for the determination of the information rate inherent in the spike trains of nerve cells. However, up to now, the dependence of the information rate on stimulus parameters has not been studied in any neuron in a systematic way. Here, I investigate the information carried by the spike trains of H1, a motion-sensitive visual interneuron of the blowfly (Calliphora vicina) using a moving grating as a stimulus. Stimulus parameters fall in two classes: those that have only a minor effect on the information rate like increasing the frequency bandwidth or the maximum amplitude of the stimulus velocity, and those which dramatically affect the neural information rate, like varying the spatial size or the contrast of the visual pattern being moved. It appears that, for a broad range of complex stimuli, the neuron covers the stimulus with its whole response repertoire regardless of the stimulus entropy, with the information rate being limited by the noise of the stimulus and the neural hardware.
Authors:
Alexander Borst
Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Journal of computational neuroscience     Volume:  14     ISSN:  0929-5313     ISO Abbreviation:  J Comput Neurosci     Publication Date:    2003 Jan-Feb
Date Detail:
Created Date:  2002-11-18     Completed Date:  2003-03-07     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  9439510     Medline TA:  J Comput Neurosci     Country:  United States    
Other Details:
Languages:  eng     Pagination:  23-31     Citation Subset:  IM    
Affiliation:
ESPM-Division of Insect Biology, UC Berkeley, Berkeley, CA, USA. borst@neuro.mpg.de
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MeSH Terms
Descriptor/Qualifier:
Animals
Computer Simulation
Contrast Sensitivity
Diptera / physiology
Entropy
Information Theory*
Interneurons / physiology
Membrane Potentials
Models, Neurological*
Motion Perception / physiology*
Neurons / physiology*
Photic Stimulation / methods
Reaction Time
Reproducibility of Results
Time Factors
Visual Perception / physiology*

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


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