nest::GrowthCurveLinear Class Reference

Linear version of a growth curve. More...

#include <growth_curve.h>

Inheritance diagram for nest::GrowthCurveLinear:

Collaboration diagram for nest::GrowthCurveLinear:

Public Member Functions
	GrowthCurveLinear ()
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_

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

Linear version of a growth curve.

This class represents a linear 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 an exact integration method to update the number of synaptic elements: dz/dt = nu (1 - (1/eps) * Ca(t)), where nu is the growth rate [elements/ms] and eps is the desired average calcium concentration. 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. It should always be a positive value. It is important to note that the calcium concentration is linearly proportional to the firing rate.

Note

eps also defines the desired firing rate that the neuron should achieve. For example, an eps = 0.05 [Ca2+] with tau_Ca = 10000.0 and beta_Ca = 0.001 for a synaptic element means a desired firing rate of 5 spks/s.

See also

SynapticElement, SPManager, SPBuilder, GrowthCurveGaussian

Author

Mikael Naveau (July 2013)

[1] Butz, Markus, Florentin Wörgötter, and Arjen van Ooyen. "Activity-dependent structural plasticity." Brain research reviews 60.2 (2009): 287-305. [2] Butz, Markus, and Arjen van Ooyen. "A simple rule for dendritic spine and axonal bouton formation can account for cortical reorganization after focal retinal lesions." PLoS Comput Biol 9.10 (2013): e1003259. Uses an exact integration method to update the number of synaptic elements: dz/dt = nu (1 - (1/eps) * Ca(t)), where nu is the growth rate and eps is the desired average calcium concentration.

Constructor & Destructor Documentation

GrowthCurveLinear()

nest::GrowthCurveLinear::GrowthCurveLinear

(

)

Member Function Documentation

get()

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

overridevirtual

Implements nest::GrowthCurve.

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

Here is the call graph for this function:

set()

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

overridevirtual

Implements nest::GrowthCurve.

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

Here is the call graph for this function:

update()

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

overridevirtual

Implements nest::GrowthCurve.

References eps_.

Member Data Documentation

eps_

double nest::GrowthCurveLinear::eps_

private

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

---

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

• growth_curve.h
• growth_curve.cpp