/* 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 = 6; static constexpr auto number_of_floating_point_variables = 25; 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__hhqt #define _nrn_initial _nrn_initial__hhqt #define nrn_cur _nrn_cur__hhqt #define _nrn_current _nrn_current__hhqt #define nrn_jacob _nrn_jacob__hhqt #define nrn_state _nrn_state__hhqt #define _net_receive _net_receive__hhqt #define rates rates__hhqt #define states states__hhqt #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 gnabar _ml->template fpfield<0>(_iml) #define gnabar_columnindex 0 #define gkbar _ml->template fpfield<1>(_iml) #define gkbar_columnindex 1 #define gl _ml->template fpfield<2>(_iml) #define gl_columnindex 2 #define el _ml->template fpfield<3>(_iml) #define el_columnindex 3 #define gna _ml->template fpfield<4>(_iml) #define gna_columnindex 4 #define gk _ml->template fpfield<5>(_iml) #define gk_columnindex 5 #define il _ml->template fpfield<6>(_iml) #define il_columnindex 6 #define m _ml->template fpfield<7>(_iml) #define m_columnindex 7 #define h _ml->template fpfield<8>(_iml) #define h_columnindex 8 #define n _ml->template fpfield<9>(_iml) #define n_columnindex 9 #define ena _ml->template fpfield<10>(_iml) #define ena_columnindex 10 #define ek _ml->template fpfield<11>(_iml) #define ek_columnindex 11 #define ina _ml->template fpfield<12>(_iml) #define ina_columnindex 12 #define ik _ml->template fpfield<13>(_iml) #define ik_columnindex 13 #define minf _ml->template fpfield<14>(_iml) #define minf_columnindex 14 #define hinf _ml->template fpfield<15>(_iml) #define hinf_columnindex 15 #define ninf _ml->template fpfield<16>(_iml) #define ninf_columnindex 16 #define mtau _ml->template fpfield<17>(_iml) #define mtau_columnindex 17 #define htau _ml->template fpfield<18>(_iml) #define htau_columnindex 18 #define ntau _ml->template fpfield<19>(_iml) #define ntau_columnindex 19 #define Dm _ml->template fpfield<20>(_iml) #define Dm_columnindex 20 #define Dh _ml->template fpfield<21>(_iml) #define Dh_columnindex 21 #define Dn _ml->template fpfield<22>(_iml) #define Dn_columnindex 22 #define v _ml->template fpfield<23>(_iml) #define v_columnindex 23 #define _g _ml->template fpfield<24>(_iml) #define _g_columnindex 24 #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)) #define _ion_ek *(_ml->dptr_field<3>(_iml)) #define _p_ion_ek static_cast>(_ppvar[3]) #define _ion_ik *(_ml->dptr_field<4>(_iml)) #define _p_ion_ik static_cast>(_ppvar[4]) #define _ion_dikdv *(_ml->dptr_field<5>(_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 void _hoc_vtrap(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_hhqt", _hoc_setdata}, {"rates_hhqt", _hoc_rates}, {"vtrap_hhqt", _hoc_vtrap}, {0, 0} }; /* Direct Python call wrappers to density mechanism functions.*/ static double _npy_rates(Prop*); static double _npy_vtrap(Prop*); static NPyDirectMechFunc npy_direct_func_proc[] = { {"rates", _npy_rates}, {"vtrap", _npy_vtrap}, {0, 0} }; #define vtrap vtrap_hhqt extern double vtrap( _internalthreadargsprotocomma_ double , double ); /* declare global and static user variables */ #define gind 0 #define _gth 0 /* some parameters have upper and lower limits */ static HocParmLimits _hoc_parm_limits[] = { {"gl_hhqt", 0, 1e+09}, {"gkbar_hhqt", 0, 1e+09}, {"gnabar_hhqt", 0, 1e+09}, {0, 0, 0} }; static HocParmUnits _hoc_parm_units[] = { {"gnabar_hhqt", "S/cm2"}, {"gkbar_hhqt", "S/cm2"}, {"gl_hhqt", "S/cm2"}, {"el_hhqt", "mV"}, {"gna_hhqt", "S/cm2"}, {"gk_hhqt", "S/cm2"}, {"il_hhqt", "mA/cm2"}, {0, 0} }; static double delta_t = 0.01; static double h0 = 0; static double m0 = 0; static double n0 = 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[6].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", "hhqt", "gnabar_hhqt", "gkbar_hhqt", "gl_hhqt", "el_hhqt", 0, "gna_hhqt", "gk_hhqt", "il_hhqt", 0, "m_hhqt", "h_hhqt", "n_hhqt", 0, 0}; static Symbol* _na_sym; static Symbol* _k_sym; /* Used by NrnProperty */ static _nrn_mechanism_std_vector _parm_default{ 0.12, /* gnabar */ 0.036, /* gkbar */ 0.0003, /* gl */ -54.3, /* el */ }; extern Prop* need_memb(Symbol*); static void nrn_alloc(Prop* _prop) { Prop *prop_ion{}; Datum *_ppvar{}; _ppvar = nrn_prop_datum_alloc(_mechtype, 7, _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) == 25); /*initialize range parameters*/ gnabar = _parm_default[0]; /* 0.12 */ gkbar = _parm_default[1]; /* 0.036 */ gl = _parm_default[2]; /* 0.0003 */ el = _parm_default[3]; /* -54.3 */ assert(_nrn_mechanism_get_num_vars(_prop) == 25); _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 */ prop_ion = need_memb(_k_sym); nrn_promote(prop_ion, 0, 1); _ppvar[3] = _nrn_mechanism_get_param_handle(prop_ion, 0); /* ek */ _ppvar[4] = _nrn_mechanism_get_param_handle(prop_ion, 3); /* ik */ _ppvar[5] = _nrn_mechanism_get_param_handle(prop_ion, 4); /* _ion_dikdv */ } 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 _hhqt_reg() { int _vectorized = 1; _initlists(); ion_reg("na", -10000.); ion_reg("k", -10000.); _na_sym = hoc_lookup("na_ion"); _k_sym = hoc_lookup("k_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{"gnabar"} /* 0 */, _nrn_mechanism_field{"gkbar"} /* 1 */, _nrn_mechanism_field{"gl"} /* 2 */, _nrn_mechanism_field{"el"} /* 3 */, _nrn_mechanism_field{"gna"} /* 4 */, _nrn_mechanism_field{"gk"} /* 5 */, _nrn_mechanism_field{"il"} /* 6 */, _nrn_mechanism_field{"m"} /* 7 */, _nrn_mechanism_field{"h"} /* 8 */, _nrn_mechanism_field{"n"} /* 9 */, _nrn_mechanism_field{"ena"} /* 10 */, _nrn_mechanism_field{"ek"} /* 11 */, _nrn_mechanism_field{"ina"} /* 12 */, _nrn_mechanism_field{"ik"} /* 13 */, _nrn_mechanism_field{"minf"} /* 14 */, _nrn_mechanism_field{"hinf"} /* 15 */, _nrn_mechanism_field{"ninf"} /* 16 */, _nrn_mechanism_field{"mtau"} /* 17 */, _nrn_mechanism_field{"htau"} /* 18 */, _nrn_mechanism_field{"ntau"} /* 19 */, _nrn_mechanism_field{"Dm"} /* 20 */, _nrn_mechanism_field{"Dh"} /* 21 */, _nrn_mechanism_field{"Dn"} /* 22 */, _nrn_mechanism_field{"v"} /* 23 */, _nrn_mechanism_field{"_g"} /* 24 */, _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{"_ion_ek", "k_ion"} /* 3 */, _nrn_mechanism_field{"_ion_ik", "k_ion"} /* 4 */, _nrn_mechanism_field{"_ion_dikdv", "k_ion"} /* 5 */, _nrn_mechanism_field{"_cvode_ieq", "cvodeieq"} /* 6 */); hoc_register_prop_size(_mechtype, 25, 7); 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, "k_ion"); hoc_register_dparam_semantics(_mechtype, 4, "k_ion"); hoc_register_dparam_semantics(_mechtype, 5, "k_ion"); hoc_register_dparam_semantics(_mechtype, 6, "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 hhqt /home/qh4os/neurenv/mech/hhqt.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(_internalthreadargsprotocomma_ double); static int _ode_spec1(_internalthreadargsproto_); /*static int _ode_matsol1(_internalthreadargsproto_);*/ static neuron::container::field_index _slist1[3], _dlist1[3]; static int states(_internalthreadargsproto_); /*CVODE*/ static int _ode_spec1 (_internalthreadargsproto_) {int _reset = 0; { rates ( _threadargscomma_ v ) ; Dm = ( minf - m ) / mtau ; Dh = ( hinf - h ) / htau ; Dn = ( ninf - n ) / ntau ; } return _reset; } static int _ode_matsol1 (_internalthreadargsproto_) { rates ( _threadargscomma_ v ) ; Dm = Dm / (1. - dt*( ( ( ( - 1.0 ) ) ) / mtau )) ; Dh = Dh / (1. - dt*( ( ( ( - 1.0 ) ) ) / htau )) ; Dn = Dn / (1. - dt*( ( ( ( - 1.0 ) ) ) / ntau )) ; return 0; } /*END CVODE*/ static int states (_internalthreadargsproto_) { { rates ( _threadargscomma_ v ) ; 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) ; n = n + (1. - exp(dt*(( ( ( - 1.0 ) ) ) / ntau)))*(- ( ( ( ninf ) ) / ntau ) / ( ( ( ( - 1.0 ) ) ) / ntau ) - n) ; } return 0; } static int rates ( _internalthreadargsprotocomma_ double _lv ) { double _lalpha , _lbeta , _lsum , _lq10 ; _lq10 = pow( 3.0 , ( ( celsius - 6.3 ) / 10.0 ) ) ; _lalpha = .1 * vtrap ( _threadargscomma_ - ( _lv + 40.0 ) , 10.0 ) ; _lbeta = 4.0 * exp ( - ( _lv + 65.0 ) / 18.0 ) ; _lsum = _lalpha + _lbeta ; mtau = 1.0 / ( _lq10 * _lsum ) ; minf = _lalpha / _lsum ; _lalpha = .07 * exp ( - ( _lv + 65.0 ) / 20.0 ) ; _lbeta = 1.0 / ( exp ( - ( _lv + 35.0 ) / 10.0 ) + 1.0 ) ; _lsum = _lalpha + _lbeta ; htau = 1.0 / ( _lq10 * _lsum ) ; hinf = _lalpha / _lsum ; _lalpha = .01 * vtrap ( _threadargscomma_ - ( _lv + 55.0 ) , 10.0 ) ; _lbeta = .125 * exp ( - ( _lv + 65.0 ) / 80.0 ) ; _lsum = _lalpha + _lbeta ; ntau = 1.0 / ( _lq10 * _lsum ) ; ninf = _lalpha / _lsum ; 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 ( _threadargscomma_ *getarg(1) ); 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 ( _threadargscomma_ *getarg(1) ); return(_r); } double vtrap ( _internalthreadargsprotocomma_ double _lx , double _ly ) { double _lvtrap; if ( fabs ( _lx / _ly ) < 1e-6 ) { _lvtrap = _ly * ( 1.0 - _lx / _ly / 2.0 ) ; } else { _lvtrap = _lx / ( exp ( _lx / _ly ) - 1.0 ) ; } return _lvtrap; } static void _hoc_vtrap(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 = vtrap ( _threadargscomma_ *getarg(1) , *getarg(2) ); hoc_retpushx(_r); } static double _npy_vtrap(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 = vtrap ( _threadargscomma_ *getarg(1) , *getarg(2) ); return(_r); } static int _ode_count(int _type){ return 3;} 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; ek = _ion_ek; _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 < 3; ++_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; ek = _ion_ek; _ode_matsol_instance1(_threadargs_); }} static void initmodel(_internalthreadargsproto_) { int _i; double _save;{ h = h0; m = m0; n = n0; { rates ( _threadargscomma_ v ) ; m = minf ; h = hinf ; n = ninf ; } } } 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; ek = _ion_ek; initmodel(_threadargs_); } } static double _nrn_current(_internalthreadargsprotocomma_ double _v) { double _current=0.; v=_v; { { gna = gnabar * m * m * m * h ; ina = gna * ( v - ena ) ; gk = gkbar * n * n * n * n ; ik = gk * ( v - ek ) ; il = gl * ( v - el ) ; } _current += ina; _current += ik; _current += il; } 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; ek = _ion_ek; auto const _g_local = _nrn_current(_threadargscomma_ _v + .001); { double _dik; double _dina; _dina = ina; _dik = ik; _rhs = _nrn_current(_threadargscomma_ _v); _ion_dinadv += (_dina - ina)/.001 ; _ion_dikdv += (_dik - ik)/.001 ; } _g = (_g_local - _rhs)/.001; _ion_ina += ina ; _ion_ik += ik ; _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; ek = _ion_ek; { 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}; _slist1[2] = {n_columnindex, 0}; _dlist1[2] = {Dn_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/hhqt.mod"; const char* nmodl_file_text = "COMMENT\n" " This is the original Hodgkin-Huxley treatment for the set of sodium, \n" " potassium, and leakage channels found in the squid giant axon membrane.\n" " (\"A quantitative description of membrane current and its application \n" " conduction and excitation in nerve\" J.Physiol. (Lond.) 117:500-544 (1952).)\n" " Membrane voltage is in absolute mV and has been reversed in polarity\n" " from the original HH convention and shifted to reflect a resting potential\n" " of -65 mV.\n" " Remember to set a squid-appropriate temperature\n" " (e.g. in HOC: \"celsius=6.3\" or in Python: \"h.celsius=6.3\").\n" " See squid.hoc for an example of a simulation using this model.\n" " SW Jaslove 6 March, 1992\n" "ENDCOMMENT\n" "\n" "NEURON {\n" " SUFFIX hhqt\n" " USEION na READ ena WRITE ina\n" " USEION k READ ek WRITE ik\n" " NONSPECIFIC_CURRENT il\n" " RANGE gnabar, gkbar, gl, el, gna, gk\n" "}\n" " \n" "UNITS {\n" " (mA) = (milliamp)\n" " (mV) = (millivolt)\n" " (S) = (siemens)\n" "}\n" " \n" "PARAMETER {\n" " gnabar = .12 (S/cm2) <0,1e9>\n" " gkbar = .036 (S/cm2) <0,1e9>\n" " gl = .0003 (S/cm2) <0,1e9>\n" " el = -54.3 (mV)\n" "}\n" " \n" "ASSIGNED {\n" " v (mV)\n" " ena (mV)\n" " ek (mV)\n" " gna (S/cm2)\n" " gk (S/cm2)\n" " ina (mA/cm2)\n" " ik (mA/cm2)\n" " il (mA/cm2)\n" " minf hinf ninf\n" " mtau (ms) htau (ms) ntau (ms)\n" " celsius (degC)\n" "}\n" " \n" "STATE {\n" " m h n\n" "}\n" " \n" "BREAKPOINT {\n" " SOLVE states METHOD cnexp\n" " gna = gnabar*m*m*m*h\n" " ina = gna*(v - ena)\n" " gk = gkbar*n*n*n*n\n" " ik = gk*(v - ek) \n" " il = gl*(v - el)\n" "}\n" "\n" "DERIVATIVE states { \n" " rates(v)\n" " m' = (minf-m)/mtau\n" " h' = (hinf-h)/htau\n" " n' = (ninf-n)/ntau\n" "}\n" " \n" "INITIAL {\n" " rates(v)\n" " m = minf\n" " h = hinf\n" " n = ninf\n" "}\n" "\n" "PROCEDURE rates(v(mV)) { :Computes rate and other constants at current v.\n" " :Call once from HOC to initialize inf at resting v.\n" " LOCAL alpha, beta, sum, q10\n" " q10 = 3^((celsius - 6.3)/10)\n" "\n" "UNITSOFF\n" " :\"m\" sodium activation system\n" " alpha = .1*vtrap(-(v+40),10)\n" " beta = 4*exp(-(v+65)/18)\n" " sum = alpha + beta\n" " mtau = 1/(q10*sum)\n" " minf = alpha/sum\n" " \n" " :\"h\" sodium inactivation system\n" " alpha = .07*exp(-(v+65)/20)\n" " beta = 1/(exp(-(v+35)/10) + 1)\n" " sum = alpha + beta\n" " htau = 1/(q10*sum)\n" " hinf = alpha/sum\n" " \n" " :\"n\" potassium activation system\n" " alpha = .01*vtrap(-(v+55),10) \n" " beta = .125*exp(-(v+65)/80)\n" " sum = alpha + beta\n" " ntau = 1/(q10*sum)\n" " ninf = alpha/sum\n" "}\n" " \n" "FUNCTION vtrap(x,y) { :Traps for 0 in denominator of rate eqns.\n" " if (fabs(x/y) < 1e-6) {\n" " vtrap = y*(1 - x/y/2)\n" " }else{\n" " vtrap = x/(exp(x/y) - 1)\n" " }\n" "}\n" " \n" "UNITSON\n" ; hoc_reg_nmodl_filename(mech_type, nmodl_filename); hoc_reg_nmodl_text(mech_type, nmodl_file_text); } #endif