nest::rate_neuron_opn< 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
double	tau_
	Time constant in ms.
double	sigma_
	Noise parameter.
double	mu_
	Mean input.
bool	linear_summation_
	Target of non-linearity.
bool	mult_coupling_
	use multiplicative coupling? Default is false

Detailed Description

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

Independent parameters of the model.

Constructor & Destructor Documentation

Parameters_()

template<class TNonlinearities >

nest::rate_neuron_opn< TNonlinearities >::Parameters_::Parameters_

(

)

Sets default parameter values.

References nest::rate_neuron_opn< TNonlinearities >::recordablesMap_.

Member Function Documentation

get()

template<class TNonlinearities >

void nest::rate_neuron_opn< TNonlinearities >::Parameters_::get

(

Dictionary &

d

)

const

Store current values in dictionary.

References nest::names::linear_summation(), nest::names::mean(), nest::names::mu(), nest::names::mult_coupling(), nest::names::sigma(), nest::names::std(), and nest::names::tau().

Here is the call graph for this function:

set()

template<class TNonlinearities >

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

References nest::names::linear_summation(), LOG, nest::names::mean(), nest::names::mu(), nest::names::mult_coupling(), nest::names::sigma(), nest::names::std(), nest::names::tau(), nest::update_value_param(), and nest::WARNING.

Referenced by nest::rate_neuron_opn< 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_neuron_opn< 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.

mu_

template<class TNonlinearities >

double nest::rate_neuron_opn< TNonlinearities >::Parameters_::mu_

Mean input.

mult_coupling_

template<class TNonlinearities >

bool nest::rate_neuron_opn< TNonlinearities >::Parameters_::mult_coupling_

use multiplicative coupling? Default is false

sigma_

template<class TNonlinearities >

double nest::rate_neuron_opn< TNonlinearities >::Parameters_::sigma_

Noise parameter.

tau_

template<class TNonlinearities >

double nest::rate_neuron_opn< TNonlinearities >::Parameters_::tau_

Time constant in ms.

---

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

• rate_neuron_opn.h
• rate_neuron_opn_impl.h