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. The Journal of the Acoustical Society of America, 126(5):2390 -- 2412, 2009.