Document Detail


A model of frequency discrimination with optimal processing of auditory nerve spike intervals.
MedLine Citation:
PMID:  11124465     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This paper investigates phase-lock coding of frequency in the auditory system. One objective with the current model was to construct an optimal central estimation mechanism able to extract frequency directly from spike trains. The model bases estimates of the stimulus frequency on inter-spike intervals of spike trains phase-locked to a pure tone stimulus. Phase-locking is the tendency of spikes to cluster around multiples of the stimulus period. It is assumed that these clusters have Gaussian distributions with variance that depends on the amount of phase-locking. Inter-spike intervals are then noisy measurements of the actual period of the stimulus waveform. The problem of estimating frequency from inter-spike intervals can be solved optimally with a Kalman filter. It is shown that the number of inter-spike intervals observed in the stimulus interval determines frequency discrimination at low frequencies, while the variance of spike clusters dominates at higher frequencies. Timing information in spike intervals is sufficient to account for human frequency discrimination performance up to 5000 Hz. When spikes are available on each stimulus cycle, the model can accurately predict frequency discrimination thresholds as a function of frequency, intensity and duration.
Authors:
J J Hanekom; J J Krüger
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Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Hearing research     Volume:  151     ISSN:  0378-5955     ISO Abbreviation:  Hear. Res.     Publication Date:  2001 Jan 
Date Detail:
Created Date:  2001-01-26     Completed Date:  2001-03-08     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  7900445     Medline TA:  Hear Res     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  188-204     Citation Subset:  IM    
Affiliation:
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria, South Africa.
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MeSH Terms
Descriptor/Qualifier:
Acoustic Stimulation
Animals
Cats
Cochlear Nerve / physiology*
Computer Simulation
Evoked Potentials, Auditory / physiology
Humans
Models, Neurological*
Nerve Fibers / physiology
Noise
Pitch Discrimination / physiology*
Species Specificity

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


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