576 lines
18 KiB
C++
576 lines
18 KiB
C++
/* Created by Language version: 7.7.0 */
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/* VECTORIZED */
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#define NRN_VECTORIZED 1
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#include <stdio.h>
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#include <stdlib.h>
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#include <math.h>
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#include "mech_api.h"
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#undef PI
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#define nil 0
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#define _pval pval
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// clang-format off
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#include "md1redef.h"
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#include "section_fwd.hpp"
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#include "nrniv_mf.h"
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#include "md2redef.h"
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#include "nrnconf.h"
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// clang-format on
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#include "neuron/cache/mechanism_range.hpp"
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static constexpr auto number_of_datum_variables = 0;
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static constexpr auto number_of_floating_point_variables = 11;
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namespace {
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template <typename T>
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using _nrn_mechanism_std_vector = std::vector<T>;
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using _nrn_model_sorted_token = neuron::model_sorted_token;
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using _nrn_mechanism_cache_range = neuron::cache::MechanismRange<number_of_floating_point_variables, number_of_datum_variables>;
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using _nrn_mechanism_cache_instance = neuron::cache::MechanismInstance<number_of_floating_point_variables, number_of_datum_variables>;
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using _nrn_non_owning_id_without_container = neuron::container::non_owning_identifier_without_container;
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template <typename T>
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using _nrn_mechanism_field = neuron::mechanism::field<T>;
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template <typename... Args>
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void _nrn_mechanism_register_data_fields(Args&&... args) {
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neuron::mechanism::register_data_fields(std::forward<Args>(args)...);
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}
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}
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#if !NRNGPU
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#undef exp
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#define exp hoc_Exp
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#if NRN_ENABLE_ARCH_INDEP_EXP_POW
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#undef pow
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#define pow hoc_pow
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#endif
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#endif
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#define nrn_init _nrn_init__Ih
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#define _nrn_initial _nrn_initial__Ih
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#define nrn_cur _nrn_cur__Ih
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#define _nrn_current _nrn_current__Ih
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#define nrn_jacob _nrn_jacob__Ih
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#define nrn_state _nrn_state__Ih
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#define _net_receive _net_receive__Ih
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#define rates rates__Ih
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#define states states__Ih
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#define _threadargscomma_ _ml, _iml, _ppvar, _thread, _globals, _nt,
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#define _threadargsprotocomma_ Memb_list* _ml, size_t _iml, Datum* _ppvar, Datum* _thread, double* _globals, NrnThread* _nt,
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#define _internalthreadargsprotocomma_ _nrn_mechanism_cache_range* _ml, size_t _iml, Datum* _ppvar, Datum* _thread, double* _globals, NrnThread* _nt,
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#define _threadargs_ _ml, _iml, _ppvar, _thread, _globals, _nt
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#define _threadargsproto_ Memb_list* _ml, size_t _iml, Datum* _ppvar, Datum* _thread, double* _globals, NrnThread* _nt
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#define _internalthreadargsproto_ _nrn_mechanism_cache_range* _ml, size_t _iml, Datum* _ppvar, Datum* _thread, double* _globals, NrnThread* _nt
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/*SUPPRESS 761*/
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/*SUPPRESS 762*/
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/*SUPPRESS 763*/
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/*SUPPRESS 765*/
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extern double *hoc_getarg(int);
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#define t _nt->_t
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#define dt _nt->_dt
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#define gIhbar _ml->template fpfield<0>(_iml)
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#define gIhbar_columnindex 0
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#define ihcn _ml->template fpfield<1>(_iml)
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#define ihcn_columnindex 1
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#define gIh _ml->template fpfield<2>(_iml)
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#define gIh_columnindex 2
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#define m _ml->template fpfield<3>(_iml)
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#define m_columnindex 3
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#define mInf _ml->template fpfield<4>(_iml)
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#define mInf_columnindex 4
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#define mTau _ml->template fpfield<5>(_iml)
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#define mTau_columnindex 5
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#define mAlpha _ml->template fpfield<6>(_iml)
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#define mAlpha_columnindex 6
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#define mBeta _ml->template fpfield<7>(_iml)
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#define mBeta_columnindex 7
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#define Dm _ml->template fpfield<8>(_iml)
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#define Dm_columnindex 8
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#define v _ml->template fpfield<9>(_iml)
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#define v_columnindex 9
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#define _g _ml->template fpfield<10>(_iml)
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#define _g_columnindex 10
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/* Thread safe. No static _ml, _iml or _ppvar. */
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static int hoc_nrnpointerindex = -1;
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static _nrn_mechanism_std_vector<Datum> _extcall_thread;
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static Prop* _extcall_prop;
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/* _prop_id kind of shadows _extcall_prop to allow validity checking. */
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static _nrn_non_owning_id_without_container _prop_id{};
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/* external NEURON variables */
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/* declaration of user functions */
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static void _hoc_rates(void);
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static int _mechtype;
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extern void _nrn_cacheloop_reg(int, int);
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extern void hoc_register_limits(int, HocParmLimits*);
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extern void hoc_register_units(int, HocParmUnits*);
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extern void nrn_promote(Prop*, int, int);
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#define NMODL_TEXT 1
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#if NMODL_TEXT
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static void register_nmodl_text_and_filename(int mechtype);
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#endif
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static void _hoc_setdata();
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/* connect user functions to hoc names */
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static VoidFunc hoc_intfunc[] = {
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{"setdata_Ih", _hoc_setdata},
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{"rates_Ih", _hoc_rates},
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{0, 0}
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};
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/* Direct Python call wrappers to density mechanism functions.*/
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static double _npy_rates(Prop*);
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static NPyDirectMechFunc npy_direct_func_proc[] = {
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{"rates", _npy_rates},
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{0, 0}
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};
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/* declare global and static user variables */
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#define gind 0
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#define _gth 0
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#define ehcn ehcn_Ih
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double ehcn = -45;
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/* some parameters have upper and lower limits */
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static HocParmLimits _hoc_parm_limits[] = {
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{0, 0, 0}
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};
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static HocParmUnits _hoc_parm_units[] = {
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{"ehcn_Ih", "mV"},
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{"gIhbar_Ih", "S/cm2"},
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{"ihcn_Ih", "mA/cm2"},
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{"gIh_Ih", "S/cm2"},
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{0, 0}
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};
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static double delta_t = 0.01;
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static double m0 = 0;
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/* connect global user variables to hoc */
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static DoubScal hoc_scdoub[] = {
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{"ehcn_Ih", &ehcn_Ih},
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{0, 0}
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};
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static DoubVec hoc_vdoub[] = {
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{0, 0, 0}
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};
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static double _sav_indep;
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extern void _nrn_setdata_reg(int, void(*)(Prop*));
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static void _setdata(Prop* _prop) {
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_extcall_prop = _prop;
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_prop_id = _nrn_get_prop_id(_prop);
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}
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static void _hoc_setdata() {
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Prop *_prop, *hoc_getdata_range(int);
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_prop = hoc_getdata_range(_mechtype);
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_setdata(_prop);
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hoc_retpushx(1.);
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}
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static void nrn_alloc(Prop*);
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static void nrn_init(_nrn_model_sorted_token const&, NrnThread*, Memb_list*, int);
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static void nrn_state(_nrn_model_sorted_token const&, NrnThread*, Memb_list*, int);
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static void nrn_cur(_nrn_model_sorted_token const&, NrnThread*, Memb_list*, int);
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static void nrn_jacob(_nrn_model_sorted_token const&, NrnThread*, Memb_list*, int);
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static int _ode_count(int);
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static void _ode_map(Prop*, int, neuron::container::data_handle<double>*, neuron::container::data_handle<double>*, double*, int);
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static void _ode_spec(_nrn_model_sorted_token const&, NrnThread*, Memb_list*, int);
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static void _ode_matsol(_nrn_model_sorted_token const&, NrnThread*, Memb_list*, int);
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#define _cvode_ieq _ppvar[0].literal_value<int>()
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static void _ode_matsol_instance1(_internalthreadargsproto_);
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/* connect range variables in _p that hoc is supposed to know about */
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static const char *_mechanism[] = {
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"7.7.0",
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"Ih",
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"gIhbar_Ih",
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0,
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"ihcn_Ih",
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"gIh_Ih",
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0,
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"m_Ih",
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0,
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0};
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/* Used by NrnProperty */
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static _nrn_mechanism_std_vector<double> _parm_default{
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8e-05, /* gIhbar */
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};
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extern Prop* need_memb(Symbol*);
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static void nrn_alloc(Prop* _prop) {
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Prop *prop_ion{};
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Datum *_ppvar{};
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_ppvar = nrn_prop_datum_alloc(_mechtype, 1, _prop);
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_nrn_mechanism_access_dparam(_prop) = _ppvar;
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_nrn_mechanism_cache_instance _ml_real{_prop};
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auto* const _ml = &_ml_real;
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size_t const _iml{};
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assert(_nrn_mechanism_get_num_vars(_prop) == 11);
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/*initialize range parameters*/
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gIhbar = _parm_default[0]; /* 8e-05 */
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assert(_nrn_mechanism_get_num_vars(_prop) == 11);
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_nrn_mechanism_access_dparam(_prop) = _ppvar;
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/*connect ionic variables to this model*/
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}
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static void _initlists();
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/* some states have an absolute tolerance */
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static Symbol** _atollist;
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static HocStateTolerance _hoc_state_tol[] = {
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{0, 0}
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};
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extern Symbol* hoc_lookup(const char*);
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extern void _nrn_thread_reg(int, int, void(*)(Datum*));
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void _nrn_thread_table_reg(int, nrn_thread_table_check_t);
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extern void hoc_register_tolerance(int, HocStateTolerance*, Symbol***);
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extern void _cvode_abstol( Symbol**, double*, int);
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extern "C" void _Ih_reg() {
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int _vectorized = 1;
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_initlists();
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register_mech(_mechanism, nrn_alloc,nrn_cur, nrn_jacob, nrn_state, nrn_init, hoc_nrnpointerindex, 1);
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_mechtype = nrn_get_mechtype(_mechanism[1]);
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hoc_register_parm_default(_mechtype, &_parm_default);
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hoc_register_npy_direct(_mechtype, npy_direct_func_proc);
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_nrn_setdata_reg(_mechtype, _setdata);
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#if NMODL_TEXT
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register_nmodl_text_and_filename(_mechtype);
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#endif
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_nrn_mechanism_register_data_fields(_mechtype,
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_nrn_mechanism_field<double>{"gIhbar"} /* 0 */,
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_nrn_mechanism_field<double>{"ihcn"} /* 1 */,
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_nrn_mechanism_field<double>{"gIh"} /* 2 */,
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_nrn_mechanism_field<double>{"m"} /* 3 */,
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_nrn_mechanism_field<double>{"mInf"} /* 4 */,
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_nrn_mechanism_field<double>{"mTau"} /* 5 */,
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_nrn_mechanism_field<double>{"mAlpha"} /* 6 */,
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_nrn_mechanism_field<double>{"mBeta"} /* 7 */,
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_nrn_mechanism_field<double>{"Dm"} /* 8 */,
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_nrn_mechanism_field<double>{"v"} /* 9 */,
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_nrn_mechanism_field<double>{"_g"} /* 10 */,
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_nrn_mechanism_field<int>{"_cvode_ieq", "cvodeieq"} /* 0 */);
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hoc_register_prop_size(_mechtype, 11, 1);
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hoc_register_dparam_semantics(_mechtype, 0, "cvodeieq");
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hoc_register_cvode(_mechtype, _ode_count, _ode_map, _ode_spec, _ode_matsol);
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hoc_register_tolerance(_mechtype, _hoc_state_tol, &_atollist);
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hoc_register_var(hoc_scdoub, hoc_vdoub, hoc_intfunc);
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ivoc_help("help ?1 Ih /home/qh4os/neurenv/mech/Ih.mod\n");
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hoc_register_limits(_mechtype, _hoc_parm_limits);
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hoc_register_units(_mechtype, _hoc_parm_units);
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}
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static int _reset;
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static const char *modelname = "";
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static int error;
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static int _ninits = 0;
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static int _match_recurse=1;
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static void _modl_cleanup(){ _match_recurse=1;}
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static int rates(_internalthreadargsproto_);
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static int _ode_spec1(_internalthreadargsproto_);
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/*static int _ode_matsol1(_internalthreadargsproto_);*/
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static neuron::container::field_index _slist1[1], _dlist1[1];
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static int states(_internalthreadargsproto_);
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/*CVODE*/
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static int _ode_spec1 (_internalthreadargsproto_) {int _reset = 0; {
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rates ( _threadargs_ ) ;
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Dm = ( mInf - m ) / mTau ;
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}
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return _reset;
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}
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static int _ode_matsol1 (_internalthreadargsproto_) {
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rates ( _threadargs_ ) ;
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Dm = Dm / (1. - dt*( ( ( ( - 1.0 ) ) ) / mTau )) ;
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return 0;
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}
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/*END CVODE*/
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static int states (_internalthreadargsproto_) { {
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rates ( _threadargs_ ) ;
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m = m + (1. - exp(dt*(( ( ( - 1.0 ) ) ) / mTau)))*(- ( ( ( mInf ) ) / mTau ) / ( ( ( ( - 1.0 ) ) ) / mTau ) - m) ;
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}
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return 0;
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}
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static int rates ( _internalthreadargsproto_ ) {
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if ( v == - 154.9 ) {
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v = v + 0.0001 ;
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}
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mAlpha = 0.001 * 6.43 * ( v + 154.9 ) / ( exp ( ( v + 154.9 ) / 11.9 ) - 1.0 ) ;
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mBeta = 0.001 * 193.0 * exp ( v / 33.1 ) ;
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mInf = mAlpha / ( mAlpha + mBeta ) ;
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mTau = 1.0 / ( mAlpha + mBeta ) ;
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return 0; }
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static void _hoc_rates(void) {
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double _r;
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Datum* _ppvar; Datum* _thread; NrnThread* _nt;
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Prop* _local_prop = _prop_id ? _extcall_prop : nullptr;
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_nrn_mechanism_cache_instance _ml_real{_local_prop};
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auto* const _ml = &_ml_real;
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size_t const _iml{};
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_ppvar = _local_prop ? _nrn_mechanism_access_dparam(_local_prop) : nullptr;
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_thread = _extcall_thread.data();
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double* _globals = nullptr;
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if (gind != 0 && _thread != nullptr) { _globals = _thread[_gth].get<double*>(); }
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_nt = nrn_threads;
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_r = 1.;
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rates ( _threadargs_ );
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hoc_retpushx(_r);
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}
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static double _npy_rates(Prop* _prop) {
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double _r{0.0};
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Datum* _ppvar; Datum* _thread; NrnThread* _nt;
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_nrn_mechanism_cache_instance _ml_real{_prop};
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auto* const _ml = &_ml_real;
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size_t const _iml{};
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_ppvar = _nrn_mechanism_access_dparam(_prop);
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_thread = _extcall_thread.data();
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double* _globals = nullptr;
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if (gind != 0 && _thread != nullptr) { _globals = _thread[_gth].get<double*>(); }
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_nt = nrn_threads;
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_r = 1.;
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rates ( _threadargs_ );
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return(_r);
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}
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static int _ode_count(int _type){ return 1;}
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static void _ode_spec(_nrn_model_sorted_token const& _sorted_token, NrnThread* _nt, Memb_list* _ml_arg, int _type) {
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Datum* _ppvar;
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size_t _iml; _nrn_mechanism_cache_range* _ml; Node* _nd{};
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double _v{};
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int _cntml;
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_nrn_mechanism_cache_range _lmr{_sorted_token, *_nt, *_ml_arg, _type};
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_ml = &_lmr;
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_cntml = _ml_arg->_nodecount;
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Datum *_thread{_ml_arg->_thread};
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double* _globals = nullptr;
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if (gind != 0 && _thread != nullptr) { _globals = _thread[_gth].get<double*>(); }
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for (_iml = 0; _iml < _cntml; ++_iml) {
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_ppvar = _ml_arg->_pdata[_iml];
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_nd = _ml_arg->_nodelist[_iml];
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v = NODEV(_nd);
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_ode_spec1 (_threadargs_);
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}}
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static void _ode_map(Prop* _prop, int _ieq, neuron::container::data_handle<double>* _pv, neuron::container::data_handle<double>* _pvdot, double* _atol, int _type) {
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Datum* _ppvar;
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_ppvar = _nrn_mechanism_access_dparam(_prop);
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_cvode_ieq = _ieq;
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for (int _i=0; _i < 1; ++_i) {
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_pv[_i] = _nrn_mechanism_get_param_handle(_prop, _slist1[_i]);
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_pvdot[_i] = _nrn_mechanism_get_param_handle(_prop, _dlist1[_i]);
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_cvode_abstol(_atollist, _atol, _i);
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}
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}
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static void _ode_matsol_instance1(_internalthreadargsproto_) {
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_ode_matsol1 (_threadargs_);
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}
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static void _ode_matsol(_nrn_model_sorted_token const& _sorted_token, NrnThread* _nt, Memb_list* _ml_arg, int _type) {
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Datum* _ppvar;
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size_t _iml; _nrn_mechanism_cache_range* _ml; Node* _nd{};
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double _v{};
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int _cntml;
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_nrn_mechanism_cache_range _lmr{_sorted_token, *_nt, *_ml_arg, _type};
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_ml = &_lmr;
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_cntml = _ml_arg->_nodecount;
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Datum *_thread{_ml_arg->_thread};
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double* _globals = nullptr;
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if (gind != 0 && _thread != nullptr) { _globals = _thread[_gth].get<double*>(); }
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for (_iml = 0; _iml < _cntml; ++_iml) {
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_ppvar = _ml_arg->_pdata[_iml];
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_nd = _ml_arg->_nodelist[_iml];
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v = NODEV(_nd);
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_ode_matsol_instance1(_threadargs_);
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}}
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static void initmodel(_internalthreadargsproto_) {
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int _i; double _save;{
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m = m0;
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{
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rates ( _threadargs_ ) ;
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m = mInf ;
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}
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}
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}
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static void nrn_init(_nrn_model_sorted_token const& _sorted_token, NrnThread* _nt, Memb_list* _ml_arg, int _type){
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_nrn_mechanism_cache_range _lmr{_sorted_token, *_nt, *_ml_arg, _type};
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auto* const _vec_v = _nt->node_voltage_storage();
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auto* const _ml = &_lmr;
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Datum* _ppvar; Datum* _thread;
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Node *_nd; double _v; int* _ni; int _iml, _cntml;
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|
_ni = _ml_arg->_nodeindices;
|
|
_cntml = _ml_arg->_nodecount;
|
|
_thread = _ml_arg->_thread;
|
|
double* _globals = nullptr;
|
|
if (gind != 0 && _thread != nullptr) { _globals = _thread[_gth].get<double*>(); }
|
|
for (_iml = 0; _iml < _cntml; ++_iml) {
|
|
_ppvar = _ml_arg->_pdata[_iml];
|
|
_v = _vec_v[_ni[_iml]];
|
|
v = _v;
|
|
initmodel(_threadargs_);
|
|
}
|
|
}
|
|
|
|
static double _nrn_current(_internalthreadargsprotocomma_ double _v) {
|
|
double _current=0.; v=_v;
|
|
{ {
|
|
gIh = gIhbar * m ;
|
|
ihcn = gIh * ( v - ehcn ) ;
|
|
}
|
|
_current += ihcn;
|
|
|
|
} 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<double*>(); }
|
|
for (_iml = 0; _iml < _cntml; ++_iml) {
|
|
_ppvar = _ml_arg->_pdata[_iml];
|
|
_v = _vec_v[_ni[_iml]];
|
|
auto const _g_local = _nrn_current(_threadargscomma_ _v + .001);
|
|
{ _rhs = _nrn_current(_threadargscomma_ _v);
|
|
}
|
|
_g = (_g_local - _rhs)/.001;
|
|
_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<double*>(); }
|
|
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<double*>(); }
|
|
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;
|
|
{
|
|
{ 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};
|
|
_first = 0;
|
|
}
|
|
|
|
#if NMODL_TEXT
|
|
static void register_nmodl_text_and_filename(int mech_type) {
|
|
const char* nmodl_filename = "/home/qh4os/neurenv/mech/Ih.mod";
|
|
const char* nmodl_file_text =
|
|
":Comment : L6\n"
|
|
":Reference : : Kole,Hallermann,and Stuart, J. Neurosci. 2006\n"
|
|
"\n"
|
|
"NEURON {\n"
|
|
" SUFFIX Ih\n"
|
|
" NONSPECIFIC_CURRENT ihcn\n"
|
|
" RANGE gIhbar, gIh, ihcn \n"
|
|
"}\n"
|
|
"\n"
|
|
"UNITS {\n"
|
|
" (S) = (siemens)\n"
|
|
" (mV) = (millivolt)\n"
|
|
" (mA) = (milliamp)\n"
|
|
"}\n"
|
|
"\n"
|
|
"PARAMETER {\n"
|
|
" gIhbar = 0.00008 (S/cm2) \n"
|
|
" ehcn = -45.0 (mV)\n"
|
|
"}\n"
|
|
"\n"
|
|
"ASSIGNED {\n"
|
|
" v (mV)\n"
|
|
" ihcn (mA/cm2)\n"
|
|
" gIh (S/cm2)\n"
|
|
" mInf\n"
|
|
" mTau\n"
|
|
" mAlpha\n"
|
|
" mBeta\n"
|
|
"}\n"
|
|
"\n"
|
|
"STATE { \n"
|
|
" m\n"
|
|
"}\n"
|
|
"\n"
|
|
"BREAKPOINT {\n"
|
|
" SOLVE states METHOD cnexp\n"
|
|
" gIh = gIhbar*m\n"
|
|
" ihcn = gIh*(v-ehcn)\n"
|
|
"}\n"
|
|
"\n"
|
|
"DERIVATIVE states {\n"
|
|
" rates()\n"
|
|
" m' = (mInf-m)/mTau\n"
|
|
"}\n"
|
|
"\n"
|
|
"INITIAL{\n"
|
|
" rates()\n"
|
|
" m = mInf\n"
|
|
"}\n"
|
|
"\n"
|
|
"PROCEDURE rates(){\n"
|
|
" UNITSOFF\n"
|
|
" if(v == -154.9){\n"
|
|
" v = v + 0.0001\n"
|
|
" }\n"
|
|
" mAlpha = 0.001*6.43*(v+154.9)/(exp((v+154.9)/11.9)-1)\n"
|
|
" mBeta = 0.001*193*exp(v/33.1)\n"
|
|
" mInf = mAlpha/(mAlpha + mBeta)\n"
|
|
" mTau = 1/(mAlpha + mBeta)\n"
|
|
" UNITSON\n"
|
|
"}\n"
|
|
;
|
|
hoc_reg_nmodl_filename(mech_type, nmodl_filename);
|
|
hoc_reg_nmodl_text(mech_type, nmodl_file_text);
|
|
}
|
|
#endif
|