Auditory nerve response model (Tan, Carney 2003)

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Accession:37129
A computational model was developed to simulate the responses of auditory-nerve (AN) fibers in cat. The incorporation of both the level-independent frequency glide and the level-dependent compressive nonlinearity into a phenomenological model for the AN was the primary focus of this work. The ability of this model to process arbitrary sound inputs makes it a useful tool for studying peripheral auditory processing.
Reference:
1 . Tan Q, Carney LH (2003) A phenomenological model for the responses of auditory-nerve fibers. II. Nonlinear tuning with a frequency glide. J Acoust Soc Am 114:2007-20 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism:
Cell Type(s): Cochlea hair outer GLU cell; Auditory nerve;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: C or C++ program; MATLAB;
Model Concept(s): Temporal Pattern Generation;
Implementer(s): Tan, Qing ;
Search NeuronDB for information about:  Cochlea hair outer GLU cell;
/* setparameter.cpp */
/* June 07, 2002    */

int setparameter( float  cf, float *pfp1,
                  double *pta, double *ptb, double *prgain, double *pnlgain,
                  double *pzero_r, int *pdelay)
{
 int error_number=1;

 double rgain80;
 double average_control=0.3357;

 *pfp1=1.0854*cf-106.0034;
 *pta=     pow(10, log10(cf)*1.0230 + 0.1607);
 *ptb=     pow(10, log10(cf)*1.4292 - 1.1550) - 1000;
 rgain80=  pow(10, log10(cf)*0.5732 + 1.5220);
 *prgain=  pow(10, log10(cf)*0.4 + 1.9);   /* 75% */

 *pnlgain= (rgain80 - *prgain)/average_control;
 *pzero_r= pow(10, log10(cf)*1.5-0.9 );        
 *pdelay= 25; /* 0.5ms delay for all CFs */

 return(error_number);
}

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