Auditory nerve response model (Zhang et al 2001)

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A phenomenological model was developed to describe responses of high-spontaneous-rate auditory-nerve (AN) fibers, including several nonlinear response properties. The implementation of this model represents a relatively simple phenomenological description of a single mechanism that underlies several important nonlinear response properties of AN fibers. The model provides a tool for studying the roles of these nonlinearities in the encoding of simple and complex sounds in the responses of populations of AN fibers.
1 . Zhang X, Heinz MG, Bruce IC, Carney LH (2001) A phenomenological model for the responses of auditory-nerve fibers: I. Nonlinear tuning with compression and suppression. J Acoust Soc Am 109:648-70 [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;
Gap Junctions:
Simulation Environment: C or C++ program;
Model Concept(s): Temporal Pattern Generation;
Implementer(s): Zhang, Xuedong ;
Search NeuronDB for information about:  Cochlea hair outer GLU cell;
#include <iostream.h>
#include "synapse.hpp"


   This function initialize the synapse model, derive the paramters needed in the model\\
   from WS 1988's paper
void TSynapse_WS::init_WS(double _Ass,double _Asp,double _TauR,double _TauST,
   double _Ar_Ast,double _PI2,double _vsat)
{ /* The following parameters are derived from the equations in Westerman,1988*/
  /* The parameters are first set to describe the characteristic response
     equation of PSTH (eq.10) */
  Ass = _Ass;              /* Steady State Firing Rate eq.10 */
  Asp = _Asp;              /* Spontaneous Firing Rate  eq.10 */
  TauR = _TauR;            /* Rapid Time Constant eq.10 */
  TauST = _TauST;          /* Short Time Constant eq.10 */
  Ar_Ast = _Ar_Ast;        /* Ratio of Ar/Ast */
  PI2 = _PI2;              /* PI2 : Maximum of the PI(PI at steady state) */
  PTS = 1+9*Asp/(9+Asp);   /* Peak to Steady State Ratio, characteristic of PSTH */

  //now get the other parameters
  Aon = PTS*Ass;                           /* Onset rate = Ass+Ar+Ast eq.10 */
  double AR = (Aon-Ass)*Ar_Ast/(1+Ar_Ast); /* Rapid component magnitude: eq.10 */
  double AST = Aon-Ass-AR;                 /* Short time component: eq.10 */
  double PI1 = PI2/Aon*Asp;                /* eq.A15 */
  CG = (Asp*(Aon-Asp))/(Aon*PI1*(1-Asp/Ass)); /* eq.A16 */
  double gamma1 = CG/Asp;                  /* eq.A19 */
  double gamma2 = CG/Ass;                  /* eq.A20 */
  double k1 = -1/TauR;                     /* eq.8 & eq.10 */
  double k2 = -1/TauST;                    /* eq.8 & eq.10 */
  /* eq.A21 & eq.A22 */
  double VI0 = (1-PI2/PI1)/(gamma1*(AR*(k1-k2)/CG/PI2+k2/PI1/gamma1-k2/PI2/gamma2));
  double VI1 = (1-PI2/PI1)/(gamma1*(AST*(k2-k1)/CG/PI2+k1/PI1/gamma1-k1/PI2/gamma2));
  VI = (VI0+VI1)/2;
  double alpha = gamma2/k1/k2;             /* eq.A23,eq.A24 or eq.7 */
  double beta = -(k1+k2)*alpha;            /* eq.A23 or eq.7 */
  double theta1 = alpha*PI2/VI;
  double theta2 = VI/PI2;
  double theta3 = gamma2-1/PI2;
  /* from eq.3-5 we get:
     1/PG+1/PL = theta3;                         (eq.5')
     VL = theta1*PG*PL;                          (eq.3')
     beta = theta1*(PL/PI2+1)+theta2*(1/PG+1/PL) (eq.4')
  PL = ((beta-theta2*theta3)/theta1-1)*PI2; /* eq.4' */
  PG = 1/(theta3-1/PL);                     /* eq.5' */
  VL = theta1*PL*PG;                        /* eq.3' */
  CI = Asp/PI1;                             /* CI at rest, from eq.A3,eq.A12 */
  CL = CI*(PI1+PL)/PL;                      /* CL at rest, from eq.1 */
  Prest = PI1;
  PImax = PI2;
  vsat = _vsat;
  //init the ihcppi transform

   run the synapse model: if the time resolution is not small enough, the concentration of\\
   the immediate pool could be as low as negative, at this time there is an alert message\\
   print out and the concentration is set at saturated level
double TSynapse_WS::run(double x)
   double PPI = ihcppi->run(x);
   double CIlast = CI;
   CI = CI + (ttdres/VI)*(-PPI*CI + PL*(CL-CI));
   CL = CL + (ttdres/VL)*(-PL*(CL - CIlast) + PG*(CG - CL));
              double temp = 1/PG+1/PL+1/PPI;
              CI = CG/(PPI*temp);
              cout<<"The immediate concentration in synapse is too low";
              CL = CI*(PPI+PL)/PL;

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