ZILANY2014 - Auditory-nerve filterbank (improved)

Usage

[ANresp,fc] = zilany2014(lvl,stim,fsstim);
[ANresp,fc,psth,ihc,t_var] = zilany2014(lvl,stim,fsstim);
[ANresp,fc,psth,ihc,t_var] = zilany2014(lvl,stim,fsstim);

Input parameters

`stim`	Pressure waveform of stimulus (timeseries)
`fsstim`	Sampling frequency of stimulus
`fc`	Frequency vector containing the CFs. Use fc=audspace(lo,hi,numCF,'erb'); to space equally on the ERB frequency scale.

Output parameters

`r_mean`	Instantaneous mean spiking rate (incl. refractoriness) of different AN fibers at corresponding CFs. Size: [time CFs]
`psth`	Spike histogram
`ihc`	Output from inner hair cells (IHCs) in Volts
`c1`	Output from the chirping filter C1
`c2`	Output from the chirping filter C2
`r_var`	Instananeous variance in the discharge rate of the ANs

Description

This function takes the following optional key/value pairs:

`'fsmod',fsmod`	Model sampling rate. It is possible to run the model at a range of fsmod between 100 kHz and 500 kHz. Default value is 200kHz for cats and 100kHz for humans.
`'fiberType',fT`	Type of the fiber based on spontaneous rate (SR) 1: Low SR, SR fixed to 0.1 spikes/s 2: Medium SR, SR fixed to 4 spikes/s 3: High SR, SR fixed to 100 spikes/s 4: Custom, defined by the fibre numbers in numH, numM and numL
`'numH'`	Number of high SR fibres. Only if fiberType is 4.
`'numM'`	Number of medium SR fibres. Only if fiberType is 4.
`'numL'`	Number of low SR fibres. Only if fiberType is 4.
`'cohc',cohc`	OHC scaling factor: 1 denotes normal OHC function (default); 0 denotes complete OHC dysfunction.
`'cihc',cihc`	IHC scaling factor: 1 denotes normal IHC function (default); 0 denotes complete IHC dysfunction.
`'nrep',nrep`	Number of repetitions for the mean rate, rate variance & psth calculation.

zilany2014 accepts the following flag:

`'human'`	Use model parameters for humans. This is the default.
`'cat'`	Use model parameters for cats.
`'fixedFGn'`	Fractional Gaussian noise will be the same in every simulation. This is the default.
`'varFGn'`	Fractional Gaussian noise will be different in every simulation.
`'approxPL'`	Use approxiate implementation of the power-law functions. This is the default.
`'actualPL'`	Use actual implementation of the power-law functions.
`'shera2002'`	Selects the BM tuning from Shera et al. (2002) (default).
`'glasberg1990'`	Selects the BM tuning from Glasberg & Moore (1990)

zilany2014(...) returns modeled responses of multiple AN fibers tuned to various characteristic frequencies (CFs). Middle-ear filtering is included and corresponds to middleearfilter(...,'zilany2009'); Please cite the references below if you use this model.

References:

C. A. Shera, J. J. J. Guinan, and O. A. J. Revised estimates of human cochlear tuning from otoacoustic and behavioral measurements. Proceedings of the National Academy of Sciences of the United States of America, 99(5):3318--3323, 2002. [ http ]

B. R. Glasberg and B. Moore. Derivation of auditory filter shapes from notched-noise data. Hearing Research, 47(1-2):103--138, 1990.

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 ]