THE AUDITORY MODELING TOOLBOX

Applies to version: 1.5.0

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ZILANY2014_SYNAPSE - Auditory nerve (AN) synapse model

Usage:

[ANresp,var_rate, psth] = zilany2014_synapse(vihc,fc,nrep,tdres,fiberType,noiseType,implnt);

Input parameters:

vihc Output from inner hair cells (IHCs) in Volts
fc Center frequencies (Hz)
nrep Number of repetitions for the mean rate, rate variance & psth calculation. Default is 1.
tdres simulation time resolution, fs_mod^(-1)
fiberType Type of the fiber based on spontaneous rate (SR) in spikes/s 1: Low SR; 2: Medium SR (default); 3: High SR.
noiseType Fractional Gaussian noise will be different in every simulation (1), or will be always the same (0, default)
implnt 0...Use approxiate implementation of the power-law (default). 1...Use actual implementation of the power-law functions.

Output parameters:

ANresp AN response in terms of the estimated instantaneous mean spiking rate (incl. refractoriness) in nf different AN fibers spaced equally on the BM
var_rate var rate
psth Spike histogram

Description:

zilany2014_synapse returns modeled responses of one AN fibers to a specific inner haircell potential.

Please cite the references below if you use this model.

References:

M. S. A. Zilany, I. C. Bruce, and L. H. Carney. Updated parameters and expanded simulation options for a model of the auditory periphery. The Journal of the Acoustical Society of America, 135(1):283--286, Jan. 2014. [ DOI ]

M. Zilany, I. Bruce, P. Nelson, and L. Carney. A phenomenological model of the synapse between the inner hair cell and auditory nerve: Long-term adaptation with power-law dynamics. J. Acoust. Soc. Am., 126(5):2390 -- 2412, 2009.