nest::GrowthCurveSigmoid Class Reference

Sigmoid version of a growth curve. More...

#include <growth_curve.h>

Inheritance diagram for nest::GrowthCurveSigmoid:

Collaboration diagram for nest::GrowthCurveSigmoid:

Public Member Functions
	GrowthCurveSigmoid ()
void	get (Dictionary &d) const override
void	set (const Dictionary &d) override
double	update (double t, double t_minus, double Ca_minus, double z, double tau_Ca, double growth_rate) const override
Public Member Functions inherited from nest::GrowthCurve
virtual	~GrowthCurve ()
virtual bool	is (std::string n)
std::string	get_name ()

Private Attributes
double	eps_
double	psi_

Additional Inherited Members
Protected Member Functions inherited from nest::GrowthCurve
	GrowthCurve (const std::string name)
Protected Attributes inherited from nest::GrowthCurve
const std::string	name_

Detailed Description

Sigmoid version of a growth curve.

This class represents a Sigmoid growth rule for the number of synaptic elements inside a neuron. The creation and deletion of synaptic elements when structural plasticity is enabled, allows the dynamic rewiring of the network during the simulation.

This type of growth curve uses a forward Euler integration method to update the number of synaptic elements: dz/dt = nu ((2 / (1 + e^((Ca(t) - eps)/psi))) - 1) eps is the target mean calcium concentration in the neuron, psi controls the width of the sigmoid and nu is the growth rate in elements/ms. The growth rate nu is defined in the SynapticElement class.

Parameters

eps	The target calcium concentration that the neuron should look to achieve by creating or deleting synaptic elements.
nu	Growth rate in elements/ms. Can be negative.
psi	Parameter that controls the width of the curve. Must be greater than 0.

See also

SynapticElement, SPManager, SPBuilder, GrowthCurveLinear

Author

Ankur Sinha (September 2016)

[1] Butz, Markus, Steenbuck, Ines D., and Arjen van Ooyen. "Homeostatic structural plasticity increases the efficiency of small-world networks." Frontiers in Synaptic Neuroscience 6 (2014): 7. Uses a forward Euler integration method to update the number of synaptic elements: dz/dt = nu ((2 / (1 + e^((Ca(t) - eps)/psi))) - 1) eps is the target mean calcium concentration in the neuron, psi controls the width of the sigmoid and nu is the growth rate.

Constructor & Destructor Documentation

GrowthCurveSigmoid()

nest::GrowthCurveSigmoid::GrowthCurveSigmoid

(

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Member Function Documentation

get()

void nest::GrowthCurveSigmoid::get ( Dictionary &  d ) const

overridevirtual

Implements nest::GrowthCurve.

References nest::names::eps(), eps_, nest::names::growth_curve(), nest::GrowthCurve::name_, nest::names::psi(), and psi_.

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set()

void nest::GrowthCurveSigmoid::set ( const Dictionary &  d )

overridevirtual

Implements nest::GrowthCurve.

References nest::names::eps(), eps_, nest::names::psi(), and psi_.

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update()

double nest::GrowthCurveSigmoid::update ( double  t, double  t_minus, double  Ca_minus, double  z, double  tau_Ca, double  growth_rate  ) const

overridevirtual

Implements nest::GrowthCurve.

References eps_, nest::Time::get_ms(), nest::Time::get_resolution(), and psi_.

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Member Data Documentation

eps_

double nest::GrowthCurveSigmoid::eps_

private

Referenced by get(), set(), and update().

psi_

double nest::GrowthCurveSigmoid::psi_

private

Referenced by get(), set(), and update().

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

• growth_curve.h
• growth_curve.cpp