indii::fmri::hemodynamic::LogNeuralBalloonModelDefaults

LogNeuralBalloonModelDefaults Class Reference

List of all members.

Detailed Description

Default biophysical parameter and function settings for LogNeuralBalloonModel.

Author:: Lawrence Murray <lawrence@indii.org>

Version:

Rev: 285

Date:

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

These are based on values given in Friston et al. (2003).

Definition at line 21 of file LogNeuralBalloonModelDefaults.hpp.

Static Public Attributes

static indii::ml::ode::f_t F_IN

$f_{in}(t) = e^{\ln f}$

static indii::ml::ode::f_t DLNFDT

$\frac{d \ln f}{dt} = \frac{\dot{f}}{f}$ ; differential equation in log space, where $\dot{f} = \frac{df}{dt}$ is defined as in NeuralBalloonModelDefaults.

static indii::ml::ode::f_t DSDT

$\frac{ds}{dt} = \epsilon u(t) - \frac{s}{\tau_s} - \frac{(f-1)}{\tau_f}$ ; differential equation.

Member Data Documentation

double F_IN [static]

$f_{in}(t) = e^{\ln f}$

Definition at line 26 of file LogNeuralBalloonModelDefaults.hpp.

double DLNFDT [static]

$\frac{d \ln f}{dt} = \frac{\dot{f}}{f}$ ; differential equation in log space, where $\dot{f} = \frac{df}{dt}$ is defined as in NeuralBalloonModelDefaults.

Definition at line 33 of file LogNeuralBalloonModelDefaults.hpp.

double DSDT [static]

$\frac{ds}{dt} = \epsilon u(t) - \frac{s}{\tau_s} - \frac{(f-1)}{\tau_f}$ ; differential equation.

Definition at line 39 of file LogNeuralBalloonModelDefaults.hpp.

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

indii/fmri/hemodynamic/LogNeuralBalloonModelDefaults.hpp
indii/fmri/hemodynamic/LogNeuralBalloonModelDefaults.cpp

Generated on Tue Oct 9 22:02:12 2007 for fmrii fMRI Modelling Library by

1.5.2


Static Public Attributes
static indii::ml::ode::f_t	F_IN
	$f_{in}(t) = e^{\ln f}$
static indii::ml::ode::f_t	DLNFDT
	$\frac{d \ln f}{dt} = \frac{\dot{f}}{f}$ ; differential equation in log space, where $\dot{f} = \frac{df}{dt}$ is defined as in NeuralBalloonModelDefaults.
static indii::ml::ode::f_t	DSDT
	$\frac{ds}{dt} = \epsilon u(t) - \frac{s}{\tau_s} - \frac{(f-1)}{\tau_f}$ ; differential equation.