Rhesus Monkey Young and Aged L3 PFC Pyramidal Neurons (Rumbell et al. 2016)

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Accession:184497
A stereotypical pyramidal neuron morphology with ion channel parameter combinations that reproduce firing patterns of one young and one aged rhesus monkey L3 PFC pyramidal neurons. Parameters were found through an automated optimization method.
Reference:
1 . Rumbell TH, Draguljic D, Yadav A, Hof PR, Luebke JI, Weaver CM (2016) Automated evolutionary optimization of ion channel conductances and kinetics in models of young and aged rhesus monkey pyramidal neurons. J Comput Neurosci 41:65-90 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s): Neocortex L2/3 pyramidal GLU cell;
Channel(s): I Na,p; I Na,t; I A; I K; I M; I h; I K,Ca; I Sodium; I Calcium; I Potassium; I_AHP; I Cl, leak;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Ion Channel Kinetics; Parameter Fitting; Detailed Neuronal Models; Aging/Alzheimer`s;
Implementer(s):
Search NeuronDB for information about:  Neocortex L2/3 pyramidal GLU cell; I Na,p; I Na,t; I A; I K; I M; I h; I K,Ca; I Sodium; I Calcium; I Potassium; I_AHP; I Cl, leak;
/* Created by Language version: 6.2.0 */
/* VECTORIZED */
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include "scoplib.h"
#undef PI
 
#include "md1redef.h"
#include "section.h"
#include "md2redef.h"

#if METHOD3
extern int _method3;
#endif

#undef exp
#define exp hoc_Exp
extern double hoc_Exp();
 
#define _threadargscomma_ _p, _ppvar, _thread, _nt,
#define _threadargs_ _p, _ppvar, _thread, _nt
 	/*SUPPRESS 761*/
	/*SUPPRESS 762*/
	/*SUPPRESS 763*/
	/*SUPPRESS 765*/
	 extern double *getarg();
 /* Thread safe. No static _p or _ppvar. */
 
#define t _nt->_t
#define dt _nt->_dt
#define Vsum _p[0]
#define Voff _p[1]
#define Vshift _p[2]
#define npts _p[3]
#define v _p[4]
#define _g _p[5]
 
#if MAC
#if !defined(v)
#define v _mlhv
#endif
#if !defined(h)
#define h _mlhh
#endif
#endif
 static int hoc_nrnpointerindex =  -1;
 static Datum* _extcall_thread;
 static Prop* _extcall_prop;
 /* external NEURON variables */
 /* declaration of user functions */
 static int _mechtype;
extern int nrn_get_mechtype();
 extern void _nrn_setdata_reg(int, void(*)(Prop*));
 static void _setdata(Prop* _prop) {
 _extcall_prop = _prop;
 }
 static _hoc_setdata() {
 Prop *_prop, *hoc_getdata_range();
 _prop = hoc_getdata_range(_mechtype);
   _setdata(_prop);
 ret(1.);
}
 /* connect user functions to hoc names */
 static IntFunc hoc_intfunc[] = {
 "setdata_offst", _hoc_setdata,
 0, 0
};
 /* declare global and static user variables */
 static int _thread1data_inuse = 0;
static double _thread1data[1];
#define _gth 0
#define Vraise Vraise_offst
 double Vraise = -71.3;
#define W W_offst
 double W = 50;
#define didAvg_offst _thread1data[0]
#define didAvg _thread[_gth]._pval[0]
#define on on_offst
 double on = 300;
#define we we_offst
 double we = 10;
 /* some parameters have upper and lower limits */
 static HocParmLimits _hoc_parm_limits[] = {
 0,0,0
};
 static HocParmUnits _hoc_parm_units[] = {
 "Vraise_offst", "mV",
 "on_offst", "ms",
 "W_offst", "ms",
 "we_offst", "ms",
 "didAvg_offst", "1",
 "Vsum_offst", "mV",
 "Voff_offst", "mV",
 "Vshift_offst", "mV",
 0,0
};
 /* connect global user variables to hoc */
 static DoubScal hoc_scdoub[] = {
 "Vraise_offst", &Vraise_offst,
 "on_offst", &on_offst,
 "W_offst", &W_offst,
 "we_offst", &we_offst,
 "didAvg_offst", &didAvg_offst,
 0,0
};
 static DoubVec hoc_vdoub[] = {
 0,0,0
};
 static double _sav_indep;
 static void nrn_alloc(), nrn_init(), nrn_state();
 static void nrn_cur(), nrn_jacob();
 /* connect range variables in _p that hoc is supposed to know about */
 static char *_mechanism[] = {
 "6.2.0",
"offst",
 0,
 "Vsum_offst",
 "Voff_offst",
 "Vshift_offst",
 0,
 0,
 0};
 
static void nrn_alloc(_prop)
	Prop *_prop;
{
	Prop *prop_ion, *need_memb();
	double *_p; Datum *_ppvar;
 	_p = nrn_prop_data_alloc(_mechtype, 6, _prop);
 	/*initialize range parameters*/
 	_prop->param = _p;
 	_prop->param_size = 6;
 
}
 static _initlists();
 static void _thread_mem_init(Datum*);
 static void _thread_cleanup(Datum*);
 _Voffset_reg() {
	int _vectorized = 1;
  _initlists();
 	register_mech(_mechanism, nrn_alloc,nrn_cur, nrn_jacob, nrn_state, nrn_init, hoc_nrnpointerindex, 2);
  _extcall_thread = (Datum*)ecalloc(1, sizeof(Datum));
  _thread_mem_init(_extcall_thread);
  _thread1data_inuse = 0;
 _mechtype = nrn_get_mechtype(_mechanism[1]);
     _nrn_setdata_reg(_mechtype, _setdata);
     _nrn_thread_reg(_mechtype, 1, _thread_mem_init);
     _nrn_thread_reg(_mechtype, 0, _thread_cleanup);
  hoc_register_dparam_size(_mechtype, 0);
 	hoc_register_var(hoc_scdoub, hoc_vdoub, hoc_intfunc);
 	ivoc_help("help ?1 offst C:/Users/Tim/Dropbox/neuron/optimisetraub/model/Voffset.mod\n");
 hoc_register_limits(_mechtype, _hoc_parm_limits);
 hoc_register_units(_mechtype, _hoc_parm_units);
 }
static int _reset;
static char *modelname = "";

static int error;
static int _ninits = 0;
static int _match_recurse=1;
static _modl_cleanup(){ _match_recurse=1;}
 
static void _thread_mem_init(Datum* _thread) {
  if (_thread1data_inuse) {_thread[_gth]._pval = (double*)ecalloc(1, sizeof(double));
 }else{
 _thread[_gth]._pval = _thread1data; _thread1data_inuse = 1;
 }
 }
 
static void _thread_cleanup(Datum* _thread) {
  if (_thread[_gth]._pval == _thread1data) {
   _thread1data_inuse = 0;
  }else{
   free((void*)_thread[_gth]._pval);
  }
 }

static void initmodel(double* _p, Datum* _ppvar, Datum* _thread, _NrnThread* _nt) {
  int _i; double _save;{
 {
   Vsum = 0.0 ;
   Vshift = 0.0 ;
   npts = 0.0 ;
   Voff = v - Voff + Vraise ;
   didAvg = 0.0 ;
   }

}
}

static void nrn_init(_NrnThread* _nt, _Memb_list* _ml, int _type){
double* _p; Datum* _ppvar; Datum* _thread;
Node *_nd; double _v; int* _ni; int _iml, _cntml;
#if CACHEVEC
    _ni = _ml->_nodeindices;
#endif
_cntml = _ml->_nodecount;
_thread = _ml->_thread;
for (_iml = 0; _iml < _cntml; ++_iml) {
 _p = _ml->_data[_iml]; _ppvar = _ml->_pdata[_iml];
#if CACHEVEC
  if (use_cachevec) {
    _v = VEC_V(_ni[_iml]);
  }else
#endif
  {
    _nd = _ml->_nodelist[_iml];
    _v = NODEV(_nd);
  }
 v = _v;
 initmodel(_p, _ppvar, _thread, _nt);
}}

static double _nrn_current(double* _p, Datum* _ppvar, Datum* _thread, _NrnThread* _nt, double _v){double _current=0.;v=_v;{
} return _current;
}

static void nrn_cur(_NrnThread* _nt, _Memb_list* _ml, int _type) {
double* _p; Datum* _ppvar; Datum* _thread;
Node *_nd; int* _ni; double _rhs, _v; int _iml, _cntml;
#if CACHEVEC
    _ni = _ml->_nodeindices;
#endif
_cntml = _ml->_nodecount;
_thread = _ml->_thread;
for (_iml = 0; _iml < _cntml; ++_iml) {
 _p = _ml->_data[_iml]; _ppvar = _ml->_pdata[_iml];
#if CACHEVEC
  if (use_cachevec) {
    _v = VEC_V(_ni[_iml]);
  }else
#endif
  {
    _nd = _ml->_nodelist[_iml];
    _v = NODEV(_nd);
  }
 
}}

static void nrn_jacob(_NrnThread* _nt, _Memb_list* _ml, int _type) {
double* _p; Datum* _ppvar; Datum* _thread;
Node *_nd; int* _ni; int _iml, _cntml;
#if CACHEVEC
    _ni = _ml->_nodeindices;
#endif
_cntml = _ml->_nodecount;
_thread = _ml->_thread;
for (_iml = 0; _iml < _cntml; ++_iml) {
 _p = _ml->_data[_iml];
#if CACHEVEC
  if (use_cachevec) {
	VEC_D(_ni[_iml]) += _g;
  }else
#endif
  {
     _nd = _ml->_nodelist[_iml];
	NODED(_nd) += _g;
  }
 
}}

static void nrn_state(_NrnThread* _nt, _Memb_list* _ml, int _type) {
 double _break, _save;
double* _p; Datum* _ppvar; Datum* _thread;
Node *_nd; double _v; int* _ni; int _iml, _cntml;
#if CACHEVEC
    _ni = _ml->_nodeindices;
#endif
_cntml = _ml->_nodecount;
_thread = _ml->_thread;
for (_iml = 0; _iml < _cntml; ++_iml) {
 _p = _ml->_data[_iml]; _ppvar = _ml->_pdata[_iml];
 _nd = _ml->_nodelist[_iml];
#if CACHEVEC
  if (use_cachevec) {
    _v = VEC_V(_ni[_iml]);
  }else
#endif
  {
    _nd = _ml->_nodelist[_iml];
    _v = NODEV(_nd);
  }
 _break = t + .5*dt; _save = t;
 v=_v;
{
 {
   if ( t >= on - we - W  && t <= on - we ) {
     Vsum = Vsum + v ;
     npts = npts + 1.0 ;
     }
   if ( didAvg  == 0.0  && t > on - we ) {
     didAvg = 1.0 ;
     Voff = Vsum / npts ;
     }
   Vshift = v - Voff + Vraise ;
   }
}}

}

static terminal(){}

static _initlists(){
 double _x; double* _p = &_x;
 int _i; static int _first = 1;
  if (!_first) return;
_first = 0;
}

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