Package mgui.neuro.components.cortical.functions

Class BiexponentialFunction

java.lang.Object

mgui.interfaces.AbstractInterfaceObject

mgui.models.dynamic.functions.Function

mgui.models.dynamic.functions.ODEFunction

mgui.neuro.components.cortical.functions.CorticalFunction

mgui.neuro.components.cortical.functions.BiexponentialFunction

All Implemented Interfaces:

AttributeObject, InterfaceObject, NamedObject, TreeObject, CleanableObject, org.opensourcephysics.numerics.ODE

public class BiexponentialFunction
extends CorticalFunction

Simplistic bi-exponential representation of population activity in a cortical region, which responds to input events. Maximum activity is modelled with a sigmoid function.

State variables

• A - population activity; i.e., total PSPs, which is assumed to relate to total firing rate
• J - input function; represents input events, which summate linearly (i.e., have no dependence upon synaptic state, etc.)

Parameters

• Tau - activity decay constant; describes the rate of decay for neuronal activation (PSPs)
• TauS - synaptic decay constant; describes the average synaptic decay for the population
• A_base - average baseline activity
• A_max - maximum activity

Adapted from:

Brette et al. (2007) Simulation of networks of spiking neurons: A review of tools and strategies. J Comput Neurosci

..and related material...

Author:

Andrew Reid

Field Summary

Fields inherited from class mgui.models.dynamic.functions.ODEFunction

state

Fields inherited from class mgui.models.dynamic.functions.Function

attributes, isDestroyed

Fields inherited from class mgui.interfaces.AbstractInterfaceObject

tree_nodes

Constructor Summary

Constructors

Constructor	Description
BiexponentialFunction(double a_base, double a_max, double tau, double tau_s)

Method Summary

Modifier and Type	Method	Description
double	evaluate(double d)	Evaluate function with a single parameter d
double[]	evaluate(double[] d)	Evaluates state as a biexponential function
double	getA_Base()
double	getA_Max()
boolean	getApplySigmoid()
double	getOutput()
SigmoidFunction	getSigmoid()
double	getTau()
double	getTauS()
protected void	init()
void	reset()
void	setA_Base(double v)
void	setA_Max(double v)
void	setApplySigmoid(boolean b)
void	setSigmoid(SigmoidFunction sf)
void	setTau(double v)
void	setTauS(double v)
java.lang.String	toString()

Methods inherited from class mgui.neuro.components.cortical.functions.CorticalFunction

getRate, setInput

Methods inherited from class mgui.models.dynamic.functions.ODEFunction

getState, setState

Methods inherited from class mgui.models.dynamic.functions.Function

clone, destroy, getAttribute, getAttributes, getAttributeValue, getTreeNodeCopy, isDestroyed, setAttribute, setAttributes, setTreeNode

Methods inherited from class mgui.interfaces.AbstractInterfaceObject

clean, getName, getTreeLabel, issueTreeNode, setName, updateTreeNodes

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface mgui.interfaces.NamedObject

getName, setName

Constructor Details

BiexponentialFunction

public BiexponentialFunction(double a_base,
double a_max,
double tau,
double tau_s)

Method Details

init

protected void init()

Overrides:

init in class Function

reset

public void reset()

Specified by:

reset in class ODEFunction

getApplySigmoid

public boolean getApplySigmoid()

setApplySigmoid

public void setApplySigmoid(boolean b)

setSigmoid

public void setSigmoid(SigmoidFunction sf)

getSigmoid

public SigmoidFunction getSigmoid()

setA_Base

public void setA_Base(double v)

setA_Max

public void setA_Max(double v)

setTau

public void setTau(double v)

setTauS

public void setTauS(double v)

getA_Base

public double getA_Base()

getA_Max

public double getA_Max()

getTau

public double getTau()

getTauS

public double getTauS()

evaluate

public double evaluate(double d)

Description copied from class: Function

Evaluate function with a single parameter d

Specified by:

evaluate in class Function

Returns:

result of the evaluation

evaluate

public double[] evaluate(double[] d)

Evaluates state as a biexponential function

Specified by:

evaluate in class Function

Returns:

result of the evaluation

getOutput

public double getOutput()

Specified by:

getOutput in class CorticalFunction

toString

public java.lang.String toString()

Overrides:

toString in class Function