Document Detail


A computational model for rate-level functions from cat auditory-nerve fibers.
MedLine Citation:
PMID:  2793615     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A computationally tractable form of the rate-level model proposed by Sachs and Abbas (1974) is presented. The first stage of the model is a compressive nonlinearity whose input-output function is chosen to reflect current data on basilar-membrane displacement. The output of this nonlinearity is converted to driven discharge rate by the saturating nonlinearity originally used by Sachs and Abbas (1974). In fitting the model to data four model parameters are chosen to minimize the mean squared error between rate functions generated by the model and the data. With parameters chosen in this way, the model provides good fits to the range of rate-level shapes from flat saturations to sloping saturations. One important parameter in the model is the 'threshold for compression'. For low- and medium-spontaneous rate fibers with similar best frequencies (BFs), the minimum mean squared error compression threshold is roughly constant at about 30 dB above the thresholds of the most sensitive (high-spontaneous rate) fibers at that BF.
Authors:
M B Sachs; R L Winslow; B H Sokolowski
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Hearing research     Volume:  41     ISSN:  0378-5955     ISO Abbreviation:  Hear. Res.     Publication Date:  1989 Aug 
Date Detail:
Created Date:  1989-11-07     Completed Date:  1989-11-07     Revised Date:  2003-11-14    
Medline Journal Info:
Nlm Unique ID:  7900445     Medline TA:  Hear Res     Country:  NETHERLANDS    
Other Details:
Languages:  eng     Pagination:  61-9     Citation Subset:  IM    
Affiliation:
Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205.
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MeSH Terms
Descriptor/Qualifier:
Animals
Cats
Models, Neurological*
Vestibulocochlear Nerve / physiology*

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


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