Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 12]

▼NSpike
CCosineSignal	Implements a cosine signal, i.e. alpha*cos(2*pi*f*t)
CFiringRateSimulation	Implements a simulation during which we calculate the firing rate
CIF	Abstract base class for integrate-and-fire (IF) neurons
CIFAC	An abstract base class for integrate-and-fire neurons with an adaptation current
CIO	Implements an input-output interface. Reads the command line for an input file and defines according output file
CLIF	A leaky integrate-and-fire (LIF) neuron
CLIFAC	Implements a leaky integrate-and-fire neuron with an adaptation current (LIFAC)
CNeuron	Abstract base class for Neurons
CNeuronFactory	Implements a factory pattern for neurons. This class will create a specific neuron, depending on the type of neuron given in an input file
CPIF	Implements a perfect integrate-and-fire (PIF) neuron
CPIFAC	Implement a perfect integrate-and-fire neuron with an adaptation current (PIFAC)
CRasterPlot
CSignal	An abstract base class for signals
CSignalFactory	Implements the factory design pattern for Signal
CSpikeTrain	A spike train for discretized times. For a given time discretization with time step dt, a spike train is an array that, at each entry, is either zero if the neuron hasn't spiked or 1/dt if the neuron has spiked
CStepSignal	Implement a step get_value, i.e. alpha*Theta(t - t_0)
CSusceptibilitySimulation	Implements a prototype simulation during which we measure the susceptibility of an integrate-and-fire neuron (with or without adaptation)
CSusceptibilitySimulationLin	A simulation where we measure the linear (first order) susceptibility of an integrate-and-fire neuron
CSusceptibilitySimulationLinNonlin	A simulation where we measure the linear (first order) susceptibility as well as the diagonal and antidiagonal second order susceptibility of an integrate-and-fire neuron
CSusceptibilitySimulationNonlin	A simulation where we measure the nonlinear (second order) susceptibility of an integrate-and-fire neuron
CTimeFrame	A time frame with discrete time steps
CTwoCosineSignal	Implements a signal consisting of two cosine, i.e. alpha*cos(2*pi*f1*t)
CWhiteNoiseSignal	Implements a band limited white gaussian noise get_value
Cgsl_function_pp