Class Hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 1234]

▼CSpike::FiringRateSimulation	Implements a simulation during which we calculate the firing rate
CSpike::RasterPlot
▼Cgsl_function
Cgsl_function_pp< F >
CSpike::IO	Implements an input-output interface. Reads the command line for an input file and defines according output file
▼CSpike::Neuron	Abstract base class for Neurons
▼CSpike::IF	Abstract base class for integrate-and-fire (IF) neurons
▼CSpike::IFAC	An abstract base class for integrate-and-fire neurons with an adaptation current
CSpike::LIFAC	Implements a leaky integrate-and-fire neuron with an adaptation current (LIFAC)
CSpike::PIFAC	Implement a perfect integrate-and-fire neuron with an adaptation current (PIFAC)
CSpike::LIF	A leaky integrate-and-fire (LIF) neuron
CSpike::PIF	Implements a perfect integrate-and-fire (PIF) neuron
CSpike::NeuronFactory	Implements a factory pattern for neurons. This class will create a specific neuron, depending on the type of neuron given in an input file
▼CSpike::Signal	An abstract base class for signals
CSpike::CosineSignal	Implements a cosine signal, i.e. alpha*cos(2*pi*f*t)
CSpike::StepSignal	Implement a step get_value, i.e. alpha*Theta(t - t_0)
CSpike::TwoCosineSignal	Implements a signal consisting of two cosine, i.e. alpha*cos(2*pi*f1*t)
CSpike::WhiteNoiseSignal	Implements a band limited white gaussian noise get_value
CSpike::SignalFactory	Implements the factory design pattern for Signal
CSpike::SpikeTrain	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
▼CSpike::SusceptibilitySimulation	Implements a prototype simulation during which we measure the susceptibility of an integrate-and-fire neuron (with or without adaptation)
CSpike::SusceptibilitySimulationLin	A simulation where we measure the linear (first order) susceptibility of an integrate-and-fire neuron
CSpike::SusceptibilitySimulationLinNonlin	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
CSpike::SusceptibilitySimulationNonlin	A simulation where we measure the nonlinear (second order) susceptibility of an integrate-and-fire neuron
CSpike::TimeFrame	A time frame with discrete time steps