NEST main@caf0ae8
 
Loading...
Searching...
No Matches
nest::rate_transformer_node< TNonlinearities >::Parameters_ Struct Reference

Independent parameters of the model. More...

Public Member Functions

 Parameters_ ()
 Sets default parameter values.
 
void get (Dictionary &) const
 Store current values in dictionary.
 
void set (const Dictionary &, Node *node)
 

Public Attributes

bool linear_summation_
 Target of non-linearity.
 

Detailed Description

template<class TNonlinearities>
struct nest::rate_transformer_node< TNonlinearities >::Parameters_

Independent parameters of the model.

Constructor & Destructor Documentation

◆ Parameters_()

template<class TNonlinearities >
nest::rate_transformer_node< TNonlinearities >::Parameters_::Parameters_ ( )

Sets default parameter values.

Member Function Documentation

◆ get()

template<class TNonlinearities >
void nest::rate_transformer_node< TNonlinearities >::Parameters_::get ( Dictionary &  d) const

Store current values in dictionary.

References nest::names::linear_summation().

Here is the call graph for this function:

◆ set()

template<class TNonlinearities >
void nest::rate_transformer_node< TNonlinearities >::Parameters_::set ( const Dictionary &  d,
Node *  node 
)

References nest::names::linear_summation(), and nest::update_value_param().

Referenced by nest::rate_transformer_node< TNonlinearities >::set_status().

Here is the call graph for this function:
Here is the caller graph for this function:

Member Data Documentation

◆ linear_summation_

template<class TNonlinearities >
bool nest::rate_transformer_node< TNonlinearities >::Parameters_::linear_summation_

Target of non-linearity.

True (default): Gain function applied to linearly summed input. False: Gain function applied to each input before summation.


The documentation for this struct was generated from the following files: