Paper Info
Title
A functional point-neuron model simulating cochlear nucleus ideal onset responses.
Abstract
Cochlear nucleus neurons revealing ideal onset (OI)-type peri-stimulus time histograms (PSTH) encode temporal features of acoustic stimuli with very high precision. These neurons are therefore assumed to be involved in the recognition of natural sounds with temporally varying envelopes such as speech. A functional point-neuron model is presented here for the simulation of OI-unit responses found in cochlear nucleus octopus cells. The model assumes a biphasic response of the membrane potential to a current impulse, the membrane impulse response, and a dynamic spike-blocking mechanism. The predicted responses to pure tones at low and high frequencies, injected current steps, and amplitude modulated tones are compared to recordings from the literature. The model accounts for the main response properties in the data using the same small set of parameters for all experimental conditions. The assumed biphasic shape of the membrane impulse response, reflecting a higher sensitivity to stimulus transients and fast changes relative to sustained stimulus portions, allows for a description of OI-unit responses that cannot be accounted for by a coincidence detector model with an integrate-to-threshold dynamic. The presented functional model may be useful as a processing module in more complex models of auditory signal processing and perception.
Year
DOI
Venue
2005
10.1007/s10827-005-1847-0
Journal of Computational Neuroscience
Keywords
Field
DocType
point-neuron model,ideal onset unit,cochlear nucleus
Impulse response,Signal processing,Neuroscience,Biological neuron model,Cochlear nucleus,Control theory,Natural sounds,Impulse (physics),Stimulus (physiology),Acoustics,Coincidence detection in neurobiology,Mathematics
Journal
Volume
Issue
ISSN
19
2
0929-5313
Citations 
PageRank 
References 
0
0.34
3
Authors
2
Name
Order
Citations
PageRank
Ulrike Dicke111.37
Torsten Dau25610.01