[r_mean,fc] = zilany2014(stim,fsstim, fc); [r_mean,psth,ihc,c1,c2,r_var,output] = zilany2014(stim,fsstim, fc);
| stim | Audio signal (in Pa). Size: time. |
| fsstim | Sampling frequency (in Hz) of stimulus. |
| fc | Vector with the requested center frequencies (CFs). Use fc=audspace(lo,hi,numCF,'erb'); to space equally on the ERB scale. |
| r_mean | Instantaneous mean spiking rate (incl. refractoriness) of various AN fibers at corresponding CFs. Size: (time x fc). |
| psth | Peri-stimulus 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. |
| output | Optional structure with further details:
|
zilany2014(..) returns modeled responses of multiple AN fibers tuned to various characteristic frequencies (CFs). Middle-ear filtering is included and corresponds to middleearfilter(...,'zilany2009');
zilany2014(..) 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):
|
| '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:
|
| 'cihc',cihc | IHC scaling factor:
|
| 'nrep',nrep | Number of repetitions for the calculation of the mean rate, the rate variance, and the PSTH. |
zilany2014(..) also accepts the following flags:
| 'human' | Use model parameters for humans. Default. |
| 'cat' | Use model parameters for cats. Opposite of 'human'. |
| 'fixedFGn' | Fractional Gaussian noise will be the same in every simulation. Default. |
| 'varFGn' | Fractional Gaussian noise will be different in every simulation. Opposite of 'fixedFGn'. |
| 'approxPL' | Use approxiate implementation of the power-law functions. Default. |
| 'actualPL' | Use actual implementation of the power-law functions. Opposite of 'approxPL'. |
| 'shera2002' | Selects the BM tuning from Shera et al. (2002). Default. |
| 'glasberg1990' | Selects the BM tuning from Glasberg & Moore (1990). Opposite of 'shera2002'. |
| 'progress' | Display the calculation progress. Default. |
| 'silent' | No progress display. Opposite of 'progress'. |
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 ]
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.