MultiSeedNeuralModelMk2 Class Reference

Inherits DifferentialModel.

Inheritance diagram for MultiSeedNeuralModelMk2:

[legend]List of all members.

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Detailed Description

Multi-seed differential model with experimental input.

Author:

Lawrence Murray <lawrence@indii.org>

Version:

Rev

285

Date:

Date

2007-07-20 17:25:40 +0100 (Fri, 20 Jul 2007)

Neural activities of seeds and the effects of an experimental input are related according to the differential system:

where is an matrix of efficacies between seeds and a vector of efficacies of the input on the seeds.

Definition at line 32 of file MultiSeedNeuralModelMk2.hpp.

Public Member Functions
	MultiSeedNeuralModelMk2 (const unsigned int N, indii::ml::ode::FunctionModel *u)
	Construct new model with given number of seeds.
	MultiSeedNeuralModelMk2 (const indii::ml::aux::matrix &A, const indii::ml::aux::vector &c, indii::ml::ode::FunctionModel *u)
	Construct new model with given efficacies.
virtual	~MultiSeedNeuralModelMk2 ()
	Destructor.
void	setEfficacies (const indii::ml::aux::matrix &A)
	Set all efficacies between all seeds.
void	setInputEfficacies (const indii::ml::aux::vector &c)
	Set all efficacies of input on seeds.
void	setEfficacy (const unsigned int i, const unsigned int j, const double A_ij)
	Set the efficacy between two seeds.
void	setInputEfficacy (const unsigned int i, const double c_i)
	Set the efficacy of the input on a seed.
virtual void	calculateDerivatives (double t, const double y[], double dydt[])
	See also: indii::ml::ode::DifferentialModel

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Constructor & Destructor Documentation

MultiSeedNeuralModelMk2	(	const unsigned int	N,
		indii::ml::ode::FunctionModel *	u
	)

Construct new model with given number of seeds.

The efficacies remain uninitialised.

Parameters:

	N	; the number of seeds.
	u	; the experimental input, e.g. an instantiation of indii::fmri::experimental::BlockDesignModel.

MultiSeedNeuralModelMk2	(	const indii::ml::aux::matrix &	A,
		const indii::ml::aux::vector &	c,
		indii::ml::ode::FunctionModel *	u
	)

Construct new model with given efficacies.

Parameters:

	A	; efficacies between seeds, assumed to be in size.
	c	; efficacies of input on seeds, must be of size .
	u	; the experimental input, e.g. an instantiation of indii::fmri::experimental::BlockDesignModel.

~MultiSeedNeuralModelMk2

(

)

[virtual]

Destructor.

Definition at line 24 of file MultiSeedNeuralModelMk2.cpp.

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Member Function Documentation

void setEfficacies

(

const indii::ml::aux::matrix &

A

)

Set all efficacies between all seeds.

Parameters:

A

; efficacies between seeds, must be in size.

void setInputEfficacies

(

const indii::ml::aux::vector &

c

)

Set all efficacies of input on seeds.

Parameters:

c

; efficacies of input on seeds, must be of size .

void setEfficacy	(	const unsigned int	i,
		const unsigned int	j,
		const double	A_ij
	)

Set the efficacy between two seeds.

Parameters:

	i	; index of the affected seed.
	j	; index of the affecting seed.
	A_ij	; efficacy of seed on seed .

Definition at line 42 of file MultiSeedNeuralModelMk2.cpp.

void setInputEfficacy	(	const unsigned int	i,
		const double	c_i
	)

Set the efficacy of the input on a seed.

Parameters:

	i	; index of the affected seed.
	c_i	; efficacy of the input on seed .

Definition at line 50 of file MultiSeedNeuralModelMk2.cpp.

void calculateDerivatives	(	double	t,
		const double	y[],
		double	dydt[]
	)			[virtual]

See also:

indii::ml::ode::DifferentialModel

Definition at line 58 of file MultiSeedNeuralModelMk2.cpp.

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

• indii/fmri/neural/MultiSeedNeuralModelMk2.hpp
• indii/fmri/neural/MultiSeedNeuralModelMk2.cpp

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