Auditory nerve model for predicting performance limits (Heinz et al 2001)

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A computational auditory nerve (AN) model was developed for use in modeling psychophysical experiments with normal and impaired human listeners. In this phenomenological model, many physiologically vulnerable response properties associated with the cochlear amplifier are represented by a single nonlinear control mechanism, see paper for details. Several model versions are described that can be used to evaluate the relative effects of these nonlinear properties.
1 . Heinz MG, Zhang X, Bruce IC, Carney LH (2001) Auditory nerve model for predicting performance limits of normal and impaired listeners. Acoustics Research Letters Online 2(3):91-96
Model Information (Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism:
Cell Type(s): Auditory nerve;
Gap Junctions:
Simulation Environment: C or C++ program; MATLAB;
Model Concept(s): Activity Patterns; Temporal Pattern Generation; Audition;
Implementer(s): Zhang, Xuedong ;
 * Run Time Utility
#ifndef _runmodel_h
#define _runmodel_h

#include <stdlib.h>
#include <stdio.h>
#include <math.h>

typedef struct _Tstim T_stim;

struct _Tstim{
  /*/General information about the model */
  double tdres, cf, spont;
  int species, model;
  /*/About filter banks */
  int banks; /*/for filterbank */
  double delx;  /*/for filter bank */
  double cfhi,cflo,cfinc;
  /*/About stimulus */
  int stim; /*/stimulus type */
  char wavefile[100]; /*/get wave from the file */
  double reptim; /*/repetition time */
  int trials; /*/for spike generator */

  int nstim,nrep; /*/runtime usage */
  double *buf;

/* get parameters from the command line */
int parsecommandline(T_stim *ptm,int argc,char *argv[]);

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