|
NEST
2.6.0,not_revisioned_source_dir@0
|
State variables of the model. More...
Public Types | |
| enum | StateVecElems { V_M = 0, W, DG_EXC, G_EXC, DG_INH, G_INH, STATE_VECTOR_MIN_SIZE } |
| Enumeration identifying elements in state vector State_::y_. More... | |
Public Member Functions | |
| State_ (const Parameters_ &) | |
| Default initialization. More... | |
| State_ (const State_ &) | |
| State_ & | operator= (const State_ &) |
| void | get (DictionaryDatum &) const |
| void | set (const DictionaryDatum &) |
Public Attributes | |
| std::vector< double_t > | y_ |
| neuron state More... | |
| std::vector< double_t > | k1 |
| Runge-Kutta variable. More... | |
| std::vector< double_t > | k2 |
| Runge-Kutta variable. More... | |
| std::vector< double_t > | k3 |
| Runge-Kutta variable. More... | |
| std::vector< double_t > | k4 |
| Runge-Kutta variable. More... | |
| std::vector< double_t > | k5 |
| Runge-Kutta variable. More... | |
| std::vector< double_t > | k6 |
| Runge-Kutta variable. More... | |
| std::vector< double_t > | k7 |
| Runge-Kutta variable. More... | |
| std::vector< double_t > | yin |
| Runge-Kutta variable. More... | |
| std::vector< double_t > | ynew |
| 5th order update More... | |
| std::vector< double_t > | yref |
| 4th order update More... | |
| int_t | r_ |
| number of refractory steps remaining More... | |
Static Public Attributes | |
| static const size_t | NUMBER_OF_FIXED_STATES_ELEMENTS = 2 |
| static const size_t | NUMBER_OF_STATES_ELEMENTS_PER_RECEPTOR = 4 |
State variables of the model.
Enumeration identifying elements in state vector State_::y_.
This enum identifies the elements of the vector. It must be public to be accessible from the iteration function. The last four elements of this enum (DG_EXC, G_EXC, DG_INH, G_INH) will be repeated n times at the end of the state vector State_::y with n being the number of synapses.
| Enumerator | |
|---|---|
| V_M | |
| W | |
| DG_EXC | |
| G_EXC | |
| DG_INH | |
| G_INH | |
| STATE_VECTOR_MIN_SIZE | |
| nest::aeif_cond_alpha_multisynapse::State_::State_ | ( | const Parameters_ & | p | ) |
Default initialization.
References nest::aeif_cond_alpha_multisynapse::Parameters_::E_L, and y_.
| nest::aeif_cond_alpha_multisynapse::State_::State_ | ( | const State_ & | s | ) |
| void nest::aeif_cond_alpha_multisynapse::State_::get | ( | DictionaryDatum & | d | ) | const |
References nest::names::d, nest::names::dg_ex, DG_EXC, nest::names::dg_in, DG_INH, nest::names::g_ex, G_EXC, nest::names::g_in, G_INH, NUMBER_OF_FIXED_STATES_ELEMENTS, NUMBER_OF_STATES_ELEMENTS_PER_RECEPTOR, nest::names::V_m, and nest::names::w.
Referenced by nest::aeif_cond_alpha_multisynapse::get_status().
| aeif_cond_alpha_multisynapse::State_ & nest::aeif_cond_alpha_multisynapse::State_::operator= | ( | const State_ & | s | ) |
| void nest::aeif_cond_alpha_multisynapse::State_::set | ( | const DictionaryDatum & | d | ) |
| std::vector<double_t> nest::aeif_cond_alpha_multisynapse::State_::k1 |
Runge-Kutta variable.
Referenced by nest::aeif_cond_alpha_multisynapse::calibrate(), operator=(), State_(), and nest::aeif_cond_alpha_multisynapse::update().
| std::vector<double_t> nest::aeif_cond_alpha_multisynapse::State_::k2 |
Runge-Kutta variable.
Referenced by nest::aeif_cond_alpha_multisynapse::calibrate(), operator=(), State_(), and nest::aeif_cond_alpha_multisynapse::update().
| std::vector<double_t> nest::aeif_cond_alpha_multisynapse::State_::k3 |
Runge-Kutta variable.
Referenced by nest::aeif_cond_alpha_multisynapse::calibrate(), operator=(), State_(), and nest::aeif_cond_alpha_multisynapse::update().
| std::vector<double_t> nest::aeif_cond_alpha_multisynapse::State_::k4 |
Runge-Kutta variable.
Referenced by nest::aeif_cond_alpha_multisynapse::calibrate(), operator=(), State_(), and nest::aeif_cond_alpha_multisynapse::update().
| std::vector<double_t> nest::aeif_cond_alpha_multisynapse::State_::k5 |
Runge-Kutta variable.
Referenced by nest::aeif_cond_alpha_multisynapse::calibrate(), operator=(), State_(), and nest::aeif_cond_alpha_multisynapse::update().
| std::vector<double_t> nest::aeif_cond_alpha_multisynapse::State_::k6 |
Runge-Kutta variable.
Referenced by nest::aeif_cond_alpha_multisynapse::calibrate(), operator=(), State_(), and nest::aeif_cond_alpha_multisynapse::update().
| std::vector<double_t> nest::aeif_cond_alpha_multisynapse::State_::k7 |
Runge-Kutta variable.
Referenced by nest::aeif_cond_alpha_multisynapse::calibrate(), operator=(), State_(), and nest::aeif_cond_alpha_multisynapse::update().
|
static |
Referenced by nest::aeif_cond_alpha_multisynapse::calibrate(), and get().
|
static |
| int_t nest::aeif_cond_alpha_multisynapse::State_::r_ |
number of refractory steps remaining
Referenced by operator=(), and nest::aeif_cond_alpha_multisynapse::update().
| std::vector<double_t> nest::aeif_cond_alpha_multisynapse::State_::y_ |
neuron state
Referenced by nest::aeif_cond_alpha_multisynapse::calibrate(), nest::aeif_cond_alpha_multisynapse::get_y_elem_(), operator=(), State_(), and nest::aeif_cond_alpha_multisynapse::update().
| std::vector<double_t> nest::aeif_cond_alpha_multisynapse::State_::yin |
Runge-Kutta variable.
Referenced by nest::aeif_cond_alpha_multisynapse::calibrate(), operator=(), State_(), and nest::aeif_cond_alpha_multisynapse::update().
| std::vector<double_t> nest::aeif_cond_alpha_multisynapse::State_::ynew |
5th order update
Referenced by nest::aeif_cond_alpha_multisynapse::calibrate(), operator=(), State_(), and nest::aeif_cond_alpha_multisynapse::update().
| std::vector<double_t> nest::aeif_cond_alpha_multisynapse::State_::yref |
4th order update
Referenced by nest::aeif_cond_alpha_multisynapse::calibrate(), operator=(), State_(), and nest::aeif_cond_alpha_multisynapse::update().
1.8.7