/* Created by Language version: 7.7.0 */ /* VECTORIZED */ #define NRN_VECTORIZED 1 #include #include #include #include "mech_api.h" #undef PI #define nil 0 #define _pval pval // clang-format off #include "md1redef.h" #include "section_fwd.hpp" #include "nrniv_mf.h" #include "md2redef.h" #include "nrnconf.h" // clang-format on #include "neuron/cache/mechanism_range.hpp" static constexpr auto number_of_datum_variables = 3; static constexpr auto number_of_floating_point_variables = 18; namespace { template using _nrn_mechanism_std_vector = std::vector; using _nrn_model_sorted_token = neuron::model_sorted_token; using _nrn_mechanism_cache_range = neuron::cache::MechanismRange; using _nrn_mechanism_cache_instance = neuron::cache::MechanismInstance; using _nrn_non_owning_id_without_container = neuron::container::non_owning_identifier_without_container; template using _nrn_mechanism_field = neuron::mechanism::field; template void _nrn_mechanism_register_data_fields(Args&&... args) { neuron::mechanism::register_data_fields(std::forward(args)...); } } #if !NRNGPU #undef exp #define exp hoc_Exp #if NRN_ENABLE_ARCH_INDEP_EXP_POW #undef pow #define pow hoc_pow #endif #endif #define nrn_init _nrn_init__NaTa_t #define _nrn_initial _nrn_initial__NaTa_t #define nrn_cur _nrn_cur__NaTa_t #define _nrn_current _nrn_current__NaTa_t #define nrn_jacob _nrn_jacob__NaTa_t #define nrn_state _nrn_state__NaTa_t #define _net_receive _net_receive__NaTa_t #define rates rates__NaTa_t #define states states__NaTa_t #define _threadargscomma_ _ml, _iml, _ppvar, _thread, _globals, _nt, #define _threadargsprotocomma_ Memb_list* _ml, size_t _iml, Datum* _ppvar, Datum* _thread, double* _globals, NrnThread* _nt, #define _internalthreadargsprotocomma_ _nrn_mechanism_cache_range* _ml, size_t _iml, Datum* _ppvar, Datum* _thread, double* _globals, NrnThread* _nt, #define _threadargs_ _ml, _iml, _ppvar, _thread, _globals, _nt #define _threadargsproto_ Memb_list* _ml, size_t _iml, Datum* _ppvar, Datum* _thread, double* _globals, NrnThread* _nt #define _internalthreadargsproto_ _nrn_mechanism_cache_range* _ml, size_t _iml, Datum* _ppvar, Datum* _thread, double* _globals, NrnThread* _nt /*SUPPRESS 761*/ /*SUPPRESS 762*/ /*SUPPRESS 763*/ /*SUPPRESS 765*/ extern double *hoc_getarg(int); #define t _nt->_t #define dt _nt->_dt #define gNaTa_tbar _ml->template fpfield<0>(_iml) #define gNaTa_tbar_columnindex 0 #define ina _ml->template fpfield<1>(_iml) #define ina_columnindex 1 #define gNaTa_t _ml->template fpfield<2>(_iml) #define gNaTa_t_columnindex 2 #define m _ml->template fpfield<3>(_iml) #define m_columnindex 3 #define h _ml->template fpfield<4>(_iml) #define h_columnindex 4 #define ena _ml->template fpfield<5>(_iml) #define ena_columnindex 5 #define mInf _ml->template fpfield<6>(_iml) #define mInf_columnindex 6 #define mTau _ml->template fpfield<7>(_iml) #define mTau_columnindex 7 #define mAlpha _ml->template fpfield<8>(_iml) #define mAlpha_columnindex 8 #define mBeta _ml->template fpfield<9>(_iml) #define mBeta_columnindex 9 #define hInf _ml->template fpfield<10>(_iml) #define hInf_columnindex 10 #define hTau _ml->template fpfield<11>(_iml) #define hTau_columnindex 11 #define hAlpha _ml->template fpfield<12>(_iml) #define hAlpha_columnindex 12 #define hBeta _ml->template fpfield<13>(_iml) #define hBeta_columnindex 13 #define Dm _ml->template fpfield<14>(_iml) #define Dm_columnindex 14 #define Dh _ml->template fpfield<15>(_iml) #define Dh_columnindex 15 #define v _ml->template fpfield<16>(_iml) #define v_columnindex 16 #define _g _ml->template fpfield<17>(_iml) #define _g_columnindex 17 #define _ion_ena *(_ml->dptr_field<0>(_iml)) #define _p_ion_ena static_cast>(_ppvar[0]) #define _ion_ina *(_ml->dptr_field<1>(_iml)) #define _p_ion_ina static_cast>(_ppvar[1]) #define _ion_dinadv *(_ml->dptr_field<2>(_iml)) /* Thread safe. No static _ml, _iml or _ppvar. */ static int hoc_nrnpointerindex = -1; static _nrn_mechanism_std_vector _extcall_thread; static Prop* _extcall_prop; /* _prop_id kind of shadows _extcall_prop to allow validity checking. */ static _nrn_non_owning_id_without_container _prop_id{}; /* external NEURON variables */ extern double celsius; /* declaration of user functions */ static void _hoc_rates(void); static int _mechtype; extern void _nrn_cacheloop_reg(int, int); extern void hoc_register_limits(int, HocParmLimits*); extern void hoc_register_units(int, HocParmUnits*); extern void nrn_promote(Prop*, int, int); #define NMODL_TEXT 1 #if NMODL_TEXT static void register_nmodl_text_and_filename(int mechtype); #endif static void _hoc_setdata(); /* connect user functions to hoc names */ static VoidFunc hoc_intfunc[] = { {"setdata_NaTa_t", _hoc_setdata}, {"rates_NaTa_t", _hoc_rates}, {0, 0} }; /* Direct Python call wrappers to density mechanism functions.*/ static double _npy_rates(Prop*); static NPyDirectMechFunc npy_direct_func_proc[] = { {"rates", _npy_rates}, {0, 0} }; /* declare global and static user variables */ #define gind 0 #define _gth 0 /* some parameters have upper and lower limits */ static HocParmLimits _hoc_parm_limits[] = { {0, 0, 0} }; static HocParmUnits _hoc_parm_units[] = { {"gNaTa_tbar_NaTa_t", "S/cm2"}, {"ina_NaTa_t", "mA/cm2"}, {"gNaTa_t_NaTa_t", "S/cm2"}, {0, 0} }; static double delta_t = 0.01; static double h0 = 0; static double m0 = 0; /* connect global user variables to hoc */ static DoubScal hoc_scdoub[] = { {0, 0} }; static DoubVec hoc_vdoub[] = { {0, 0, 0} }; static double _sav_indep; extern void _nrn_setdata_reg(int, void(*)(Prop*)); static void _setdata(Prop* _prop) { _extcall_prop = _prop; _prop_id = _nrn_get_prop_id(_prop); } static void _hoc_setdata() { Prop *_prop, *hoc_getdata_range(int); _prop = hoc_getdata_range(_mechtype); _setdata(_prop); hoc_retpushx(1.); } static void nrn_alloc(Prop*); static void nrn_init(_nrn_model_sorted_token const&, NrnThread*, Memb_list*, int); static void nrn_state(_nrn_model_sorted_token const&, NrnThread*, Memb_list*, int); static void nrn_cur(_nrn_model_sorted_token const&, NrnThread*, Memb_list*, int); static void nrn_jacob(_nrn_model_sorted_token const&, NrnThread*, Memb_list*, int); static int _ode_count(int); static void _ode_map(Prop*, int, neuron::container::data_handle*, neuron::container::data_handle*, double*, int); static void _ode_spec(_nrn_model_sorted_token const&, NrnThread*, Memb_list*, int); static void _ode_matsol(_nrn_model_sorted_token const&, NrnThread*, Memb_list*, int); #define _cvode_ieq _ppvar[3].literal_value() static void _ode_matsol_instance1(_internalthreadargsproto_); /* connect range variables in _p that hoc is supposed to know about */ static const char *_mechanism[] = { "7.7.0", "NaTa_t", "gNaTa_tbar_NaTa_t", 0, "ina_NaTa_t", "gNaTa_t_NaTa_t", 0, "m_NaTa_t", "h_NaTa_t", 0, 0}; static Symbol* _na_sym; /* Used by NrnProperty */ static _nrn_mechanism_std_vector _parm_default{ 3.28876, /* gNaTa_tbar */ }; extern Prop* need_memb(Symbol*); static void nrn_alloc(Prop* _prop) { Prop *prop_ion{}; Datum *_ppvar{}; _ppvar = nrn_prop_datum_alloc(_mechtype, 4, _prop); _nrn_mechanism_access_dparam(_prop) = _ppvar; _nrn_mechanism_cache_instance _ml_real{_prop}; auto* const _ml = &_ml_real; size_t const _iml{}; assert(_nrn_mechanism_get_num_vars(_prop) == 18); /*initialize range parameters*/ gNaTa_tbar = _parm_default[0]; /* 3.28876 */ assert(_nrn_mechanism_get_num_vars(_prop) == 18); _nrn_mechanism_access_dparam(_prop) = _ppvar; /*connect ionic variables to this model*/ prop_ion = need_memb(_na_sym); nrn_promote(prop_ion, 0, 1); _ppvar[0] = _nrn_mechanism_get_param_handle(prop_ion, 0); /* ena */ _ppvar[1] = _nrn_mechanism_get_param_handle(prop_ion, 3); /* ina */ _ppvar[2] = _nrn_mechanism_get_param_handle(prop_ion, 4); /* _ion_dinadv */ } static void _initlists(); /* some states have an absolute tolerance */ static Symbol** _atollist; static HocStateTolerance _hoc_state_tol[] = { {0, 0} }; extern Symbol* hoc_lookup(const char*); extern void _nrn_thread_reg(int, int, void(*)(Datum*)); void _nrn_thread_table_reg(int, nrn_thread_table_check_t); extern void hoc_register_tolerance(int, HocStateTolerance*, Symbol***); extern void _cvode_abstol( Symbol**, double*, int); extern "C" void _NaTa_t_reg() { int _vectorized = 1; _initlists(); ion_reg("na", -10000.); _na_sym = hoc_lookup("na_ion"); register_mech(_mechanism, nrn_alloc,nrn_cur, nrn_jacob, nrn_state, nrn_init, hoc_nrnpointerindex, 1); _mechtype = nrn_get_mechtype(_mechanism[1]); hoc_register_parm_default(_mechtype, &_parm_default); hoc_register_npy_direct(_mechtype, npy_direct_func_proc); _nrn_setdata_reg(_mechtype, _setdata); #if NMODL_TEXT register_nmodl_text_and_filename(_mechtype); #endif _nrn_mechanism_register_data_fields(_mechtype, _nrn_mechanism_field{"gNaTa_tbar"} /* 0 */, _nrn_mechanism_field{"ina"} /* 1 */, _nrn_mechanism_field{"gNaTa_t"} /* 2 */, _nrn_mechanism_field{"m"} /* 3 */, _nrn_mechanism_field{"h"} /* 4 */, _nrn_mechanism_field{"ena"} /* 5 */, _nrn_mechanism_field{"mInf"} /* 6 */, _nrn_mechanism_field{"mTau"} /* 7 */, _nrn_mechanism_field{"mAlpha"} /* 8 */, _nrn_mechanism_field{"mBeta"} /* 9 */, _nrn_mechanism_field{"hInf"} /* 10 */, _nrn_mechanism_field{"hTau"} /* 11 */, _nrn_mechanism_field{"hAlpha"} /* 12 */, _nrn_mechanism_field{"hBeta"} /* 13 */, _nrn_mechanism_field{"Dm"} /* 14 */, _nrn_mechanism_field{"Dh"} /* 15 */, _nrn_mechanism_field{"v"} /* 16 */, _nrn_mechanism_field{"_g"} /* 17 */, _nrn_mechanism_field{"_ion_ena", "na_ion"} /* 0 */, _nrn_mechanism_field{"_ion_ina", "na_ion"} /* 1 */, _nrn_mechanism_field{"_ion_dinadv", "na_ion"} /* 2 */, _nrn_mechanism_field{"_cvode_ieq", "cvodeieq"} /* 3 */); hoc_register_prop_size(_mechtype, 18, 4); hoc_register_dparam_semantics(_mechtype, 0, "na_ion"); hoc_register_dparam_semantics(_mechtype, 1, "na_ion"); hoc_register_dparam_semantics(_mechtype, 2, "na_ion"); hoc_register_dparam_semantics(_mechtype, 3, "cvodeieq"); hoc_register_cvode(_mechtype, _ode_count, _ode_map, _ode_spec, _ode_matsol); hoc_register_tolerance(_mechtype, _hoc_state_tol, &_atollist); hoc_register_var(hoc_scdoub, hoc_vdoub, hoc_intfunc); ivoc_help("help ?1 NaTa_t /home/qh4os/neurenv/mech/NaTa_t.mod\n"); hoc_register_limits(_mechtype, _hoc_parm_limits); hoc_register_units(_mechtype, _hoc_parm_units); } static int _reset; static const char *modelname = ""; static int error; static int _ninits = 0; static int _match_recurse=1; static void _modl_cleanup(){ _match_recurse=1;} static int rates(_internalthreadargsproto_); static int _ode_spec1(_internalthreadargsproto_); /*static int _ode_matsol1(_internalthreadargsproto_);*/ static neuron::container::field_index _slist1[2], _dlist1[2]; static int states(_internalthreadargsproto_); /*CVODE*/ static int _ode_spec1 (_internalthreadargsproto_) {int _reset = 0; { rates ( _threadargs_ ) ; Dm = ( mInf - m ) / mTau ; Dh = ( hInf - h ) / hTau ; } return _reset; } static int _ode_matsol1 (_internalthreadargsproto_) { rates ( _threadargs_ ) ; Dm = Dm / (1. - dt*( ( ( ( - 1.0 ) ) ) / mTau )) ; Dh = Dh / (1. - dt*( ( ( ( - 1.0 ) ) ) / hTau )) ; return 0; } /*END CVODE*/ static int states (_internalthreadargsproto_) { { rates ( _threadargs_ ) ; m = m + (1. - exp(dt*(( ( ( - 1.0 ) ) ) / mTau)))*(- ( ( ( mInf ) ) / mTau ) / ( ( ( ( - 1.0 ) ) ) / mTau ) - m) ; h = h + (1. - exp(dt*(( ( ( - 1.0 ) ) ) / hTau)))*(- ( ( ( hInf ) ) / hTau ) / ( ( ( ( - 1.0 ) ) ) / hTau ) - h) ; } return 0; } static int rates ( _internalthreadargsproto_ ) { double _lqt ; _lqt = pow( 2.3 , ( ( celsius - 21.0 ) / 10.0 ) ) ; if ( v == - 38.0 ) { v = v + 0.0001 ; } mAlpha = ( 0.182 * ( v - - 38.0 ) ) / ( 1.0 - ( exp ( - ( v - - 38.0 ) / 6.0 ) ) ) ; mBeta = ( 0.124 * ( - v - 38.0 ) ) / ( 1.0 - ( exp ( - ( - v - 38.0 ) / 6.0 ) ) ) ; mTau = ( 1.0 / ( mAlpha + mBeta ) ) / _lqt ; mInf = mAlpha / ( mAlpha + mBeta ) ; if ( v == - 66.0 ) { v = v + 0.0001 ; } hAlpha = ( - 0.015 * ( v - - 66.0 ) ) / ( 1.0 - ( exp ( ( v - - 66.0 ) / 6.0 ) ) ) ; hBeta = ( - 0.015 * ( - v - 66.0 ) ) / ( 1.0 - ( exp ( ( - v - 66.0 ) / 6.0 ) ) ) ; hTau = ( 1.0 / ( hAlpha + hBeta ) ) / _lqt ; hInf = hAlpha / ( hAlpha + hBeta ) ; return 0; } static void _hoc_rates(void) { double _r; Datum* _ppvar; Datum* _thread; NrnThread* _nt; Prop* _local_prop = _prop_id ? _extcall_prop : nullptr; _nrn_mechanism_cache_instance _ml_real{_local_prop}; auto* const _ml = &_ml_real; size_t const _iml{}; _ppvar = _local_prop ? _nrn_mechanism_access_dparam(_local_prop) : nullptr; _thread = _extcall_thread.data(); double* _globals = nullptr; if (gind != 0 && _thread != nullptr) { _globals = _thread[_gth].get(); } _nt = nrn_threads; _r = 1.; rates ( _threadargs_ ); hoc_retpushx(_r); } static double _npy_rates(Prop* _prop) { double _r{0.0}; Datum* _ppvar; Datum* _thread; NrnThread* _nt; _nrn_mechanism_cache_instance _ml_real{_prop}; auto* const _ml = &_ml_real; size_t const _iml{}; _ppvar = _nrn_mechanism_access_dparam(_prop); _thread = _extcall_thread.data(); double* _globals = nullptr; if (gind != 0 && _thread != nullptr) { _globals = _thread[_gth].get(); } _nt = nrn_threads; _r = 1.; rates ( _threadargs_ ); return(_r); } static int _ode_count(int _type){ return 2;} static void _ode_spec(_nrn_model_sorted_token const& _sorted_token, NrnThread* _nt, Memb_list* _ml_arg, int _type) { Datum* _ppvar; size_t _iml; _nrn_mechanism_cache_range* _ml; Node* _nd{}; double _v{}; int _cntml; _nrn_mechanism_cache_range _lmr{_sorted_token, *_nt, *_ml_arg, _type}; _ml = &_lmr; _cntml = _ml_arg->_nodecount; Datum *_thread{_ml_arg->_thread}; double* _globals = nullptr; if (gind != 0 && _thread != nullptr) { _globals = _thread[_gth].get(); } for (_iml = 0; _iml < _cntml; ++_iml) { _ppvar = _ml_arg->_pdata[_iml]; _nd = _ml_arg->_nodelist[_iml]; v = NODEV(_nd); ena = _ion_ena; _ode_spec1 (_threadargs_); }} static void _ode_map(Prop* _prop, int _ieq, neuron::container::data_handle* _pv, neuron::container::data_handle* _pvdot, double* _atol, int _type) { Datum* _ppvar; _ppvar = _nrn_mechanism_access_dparam(_prop); _cvode_ieq = _ieq; for (int _i=0; _i < 2; ++_i) { _pv[_i] = _nrn_mechanism_get_param_handle(_prop, _slist1[_i]); _pvdot[_i] = _nrn_mechanism_get_param_handle(_prop, _dlist1[_i]); _cvode_abstol(_atollist, _atol, _i); } } static void _ode_matsol_instance1(_internalthreadargsproto_) { _ode_matsol1 (_threadargs_); } static void _ode_matsol(_nrn_model_sorted_token const& _sorted_token, NrnThread* _nt, Memb_list* _ml_arg, int _type) { Datum* _ppvar; size_t _iml; _nrn_mechanism_cache_range* _ml; Node* _nd{}; double _v{}; int _cntml; _nrn_mechanism_cache_range _lmr{_sorted_token, *_nt, *_ml_arg, _type}; _ml = &_lmr; _cntml = _ml_arg->_nodecount; Datum *_thread{_ml_arg->_thread}; double* _globals = nullptr; if (gind != 0 && _thread != nullptr) { _globals = _thread[_gth].get(); } for (_iml = 0; _iml < _cntml; ++_iml) { _ppvar = _ml_arg->_pdata[_iml]; _nd = _ml_arg->_nodelist[_iml]; v = NODEV(_nd); ena = _ion_ena; _ode_matsol_instance1(_threadargs_); }} static void initmodel(_internalthreadargsproto_) { int _i; double _save;{ h = h0; m = m0; { rates ( _threadargs_ ) ; m = mInf ; h = hInf ; } } } static void nrn_init(_nrn_model_sorted_token const& _sorted_token, NrnThread* _nt, Memb_list* _ml_arg, int _type){ _nrn_mechanism_cache_range _lmr{_sorted_token, *_nt, *_ml_arg, _type}; auto* const _vec_v = _nt->node_voltage_storage(); auto* const _ml = &_lmr; Datum* _ppvar; Datum* _thread; Node *_nd; double _v; int* _ni; int _iml, _cntml; _ni = _ml_arg->_nodeindices; _cntml = _ml_arg->_nodecount; _thread = _ml_arg->_thread; double* _globals = nullptr; if (gind != 0 && _thread != nullptr) { _globals = _thread[_gth].get(); } for (_iml = 0; _iml < _cntml; ++_iml) { _ppvar = _ml_arg->_pdata[_iml]; _v = _vec_v[_ni[_iml]]; v = _v; ena = _ion_ena; initmodel(_threadargs_); } } static double _nrn_current(_internalthreadargsprotocomma_ double _v) { double _current=0.; v=_v; { { gNaTa_t = gNaTa_tbar * m * m * m * h ; ina = gNaTa_t * ( v - ena ) ; } _current += ina; } return _current; } static void nrn_cur(_nrn_model_sorted_token const& _sorted_token, NrnThread* _nt, Memb_list* _ml_arg, int _type) { _nrn_mechanism_cache_range _lmr{_sorted_token, *_nt, *_ml_arg, _type}; auto const _vec_rhs = _nt->node_rhs_storage(); auto const _vec_sav_rhs = _nt->node_sav_rhs_storage(); auto const _vec_v = _nt->node_voltage_storage(); auto* const _ml = &_lmr; Datum* _ppvar; Datum* _thread; Node *_nd; int* _ni; double _rhs, _v; int _iml, _cntml; _ni = _ml_arg->_nodeindices; _cntml = _ml_arg->_nodecount; _thread = _ml_arg->_thread; double* _globals = nullptr; if (gind != 0 && _thread != nullptr) { _globals = _thread[_gth].get(); } for (_iml = 0; _iml < _cntml; ++_iml) { _ppvar = _ml_arg->_pdata[_iml]; _v = _vec_v[_ni[_iml]]; ena = _ion_ena; auto const _g_local = _nrn_current(_threadargscomma_ _v + .001); { double _dina; _dina = ina; _rhs = _nrn_current(_threadargscomma_ _v); _ion_dinadv += (_dina - ina)/.001 ; } _g = (_g_local - _rhs)/.001; _ion_ina += ina ; _vec_rhs[_ni[_iml]] -= _rhs; } } static void nrn_jacob(_nrn_model_sorted_token const& _sorted_token, NrnThread* _nt, Memb_list* _ml_arg, int _type) { _nrn_mechanism_cache_range _lmr{_sorted_token, *_nt, *_ml_arg, _type}; auto const _vec_d = _nt->node_d_storage(); auto const _vec_sav_d = _nt->node_sav_d_storage(); auto* const _ml = &_lmr; Datum* _ppvar; Datum* _thread; Node *_nd; int* _ni; int _iml, _cntml; _ni = _ml_arg->_nodeindices; _cntml = _ml_arg->_nodecount; _thread = _ml_arg->_thread; double* _globals = nullptr; if (gind != 0 && _thread != nullptr) { _globals = _thread[_gth].get(); } for (_iml = 0; _iml < _cntml; ++_iml) { _vec_d[_ni[_iml]] += _g; } } static void nrn_state(_nrn_model_sorted_token const& _sorted_token, NrnThread* _nt, Memb_list* _ml_arg, int _type) { _nrn_mechanism_cache_range _lmr{_sorted_token, *_nt, *_ml_arg, _type}; auto* const _vec_v = _nt->node_voltage_storage(); auto* const _ml = &_lmr; Datum* _ppvar; Datum* _thread; Node *_nd; double _v = 0.0; int* _ni; _ni = _ml_arg->_nodeindices; size_t _cntml = _ml_arg->_nodecount; _thread = _ml_arg->_thread; double* _globals = nullptr; if (gind != 0 && _thread != nullptr) { _globals = _thread[_gth].get(); } for (size_t _iml = 0; _iml < _cntml; ++_iml) { _ppvar = _ml_arg->_pdata[_iml]; _nd = _ml_arg->_nodelist[_iml]; _v = _vec_v[_ni[_iml]]; v=_v; { ena = _ion_ena; { states(_threadargs_); } }} } static void terminal(){} static void _initlists(){ int _i; static int _first = 1; if (!_first) return; _slist1[0] = {m_columnindex, 0}; _dlist1[0] = {Dm_columnindex, 0}; _slist1[1] = {h_columnindex, 0}; _dlist1[1] = {Dh_columnindex, 0}; _first = 0; } #if NMODL_TEXT static void register_nmodl_text_and_filename(int mech_type) { const char* nmodl_filename = "/home/qh4os/neurenv/mech/NaTa_t.mod"; const char* nmodl_file_text = ":Comment : L6\n" ":Reference :Colbert and Pan 2002\n" ": **Modified to use 'celsius' for temperature to correct rates by Aman Aberra**\n" "NEURON {\n" " SUFFIX NaTa_t\n" " USEION na READ ena WRITE ina\n" " RANGE gNaTa_tbar, gNaTa_t, ina\n" "}\n" "\n" "UNITS {\n" " (S) = (siemens)\n" " (mV) = (millivolt)\n" " (mA) = (milliamp)\n" "}\n" "\n" "PARAMETER {\n" " gNaTa_tbar = 3.288755 (S/cm2)\n" "}\n" "\n" "ASSIGNED {\n" " v (mV)\n" " ena (mV)\n" " ina (mA/cm2)\n" " gNaTa_t (S/cm2)\n" " celsius (degC)\n" " mInf\n" " mTau\n" " mAlpha\n" " mBeta\n" " hInf\n" " hTau\n" " hAlpha\n" " hBeta\n" "}\n" "\n" "STATE {\n" " m\n" " h\n" "}\n" "\n" "BREAKPOINT {\n" " SOLVE states METHOD cnexp\n" " gNaTa_t = gNaTa_tbar*m*m*m*h\n" " ina = gNaTa_t*(v-ena)\n" "}\n" "\n" "DERIVATIVE states {\n" " rates()\n" " m' = (mInf-m)/mTau\n" " h' = (hInf-h)/hTau\n" "}\n" "\n" "INITIAL{\n" " rates()\n" " m = mInf\n" " h = hInf\n" "}\n" "\n" "PROCEDURE rates(){\n" " LOCAL qt\n" " qt = 2.3^((celsius-21)/10) \n" " UNITSOFF\n" " if(v == -38){\n" " v = v+0.0001\n" " }\n" " mAlpha = (0.182 * (v- -38))/(1-(exp(-(v- -38)/6)))\n" " mBeta = (0.124 * (-v -38))/(1-(exp(-(-v -38)/6)))\n" " mTau = (1/(mAlpha + mBeta))/qt\n" " mInf = mAlpha/(mAlpha + mBeta)\n" "\n" " if(v == -66){\n" " v = v + 0.0001\n" " }\n" "\n" " hAlpha = (-0.015 * (v- -66))/(1-(exp((v- -66)/6)))\n" " hBeta = (-0.015 * (-v -66))/(1-(exp((-v -66)/6)))\n" " hTau = (1/(hAlpha + hBeta))/qt\n" " hInf = hAlpha/(hAlpha + hBeta)\n" " UNITSON\n" "}\n" ; hoc_reg_nmodl_filename(mech_type, nmodl_filename); hoc_reg_nmodl_text(mech_type, nmodl_file_text); } #endif