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

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Accession:36834
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.
Reference:
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;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: C or C++ program; MATLAB;
Model Concept(s): Activity Patterns; Temporal Pattern Generation; Audition;
Implementer(s): Zhang, Xuedong ;
#ifndef _synapse_h
#define _synapse_h
typedef struct __tsynapse Tsynapse;
struct __tsynapse{
  double (*run)(Tsynapse *p,double x);
  void (*run2)(Tsynapse *p, const double *in, double *out, const int length);
  double cf,tdres;
  double spont;  
  double PTS, Ass, Ar_over_Ast, Pimax, tauR, tauST;
  double Prest,PPIlast,PL,PG,CIrest,CIlast,CLrest,CLlast,CG,VI,VL;

  double Vsat;
};
int runSynapse(Tsynapse *pthis, const double *in, double *out, const int length);
void runsyn_dynamic(Tsynapse *pthis, const double *in, double *out, const int length);
double run1syn_dynamic(Tsynapse *pthis, double x);
int initSynapse(Tsynapse *pthis);
#endif



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