Inheritance diagram for SpikingNeurons:

Public Member Functions
virtual int	AddGroup (neuron_parameters_struct *group_params)
virtual void	allocate_device_pointers (int maximum_axonal_delay_in_timesteps, bool high_fidelity_spike_flag)
virtual void	copy_constants_to_device ()
virtual void	reset_neuron_activities ()
virtual void	update_membrane_potentials (float timestep, float current_time_in_seconds)
virtual void	check_for_neuron_spikes (float current_time_in_seconds, float timestep)
Public Attributes
int	bitarray_length
int	bitarray_maximum_axonal_delay_in_timesteps
bool	high_fidelity_spike_flag
float *	after_spike_reset_membrane_potentials_c
float *	thresholds_for_action_potential_spikes
unsigned char *	bitarray_of_neuron_spikes
float *	d_last_spike_time_of_each_neuron
float *	d_membrane_potentials_v
float *	d_thresholds_for_action_potential_spikes
float *	d_resting_potentials
unsigned char *	d_bitarray_of_neuron_spikes

Member Function Documentation

virtual int SpikingNeurons::AddGroup ( neuron_parameters_struct * group_params ) [virtual]

Determines the total number of neurons by which the simulation should increase. This is a virtual function to allow polymorphism in the methods of various SpikingNeuron implementations. Allocates memory as necessary for group size and indices storage.

Parameters:

group_params A neuron_parameters_struct instance describing a 2D neuron population size.

Returns:: The unique ID for the population which was requested for creation.

Reimplemented from Neurons.

Reimplemented in InputSpikingNeurons, AdExSpikingNeurons, GeneratorInputSpikingNeurons, IzhikevichSpikingNeurons, LIFSpikingNeurons, PoissonInputSpikingNeurons, and ImagePoissonInputSpikingNeurons.

virtual void SpikingNeurons::allocate_device_pointers	(	int	maximum_axonal_delay_in_timesteps,
		bool	high_fidelity_spike_storage
	)		`[virtual]`

Exclusively for the allocation of device memory. This class requires allocation of d_current_injections only.

Parameters:

maximum_axonal_delay_in_timesteps	The length (in timesteps) of the largest axonal delay in the simulation. Unused in this class.
high_fidelity_spike_storage	A flag determining whether a bit mask based method is used to store spike times of neurons (ensure no spike transmission failure).

Reimplemented from Neurons.

Reimplemented in AdExSpikingNeurons, GeneratorInputSpikingNeurons, IzhikevichSpikingNeurons, LIFSpikingNeurons, and PoissonInputSpikingNeurons.

virtual void SpikingNeurons::copy_constants_to_device ( ) [virtual]

Unused in this class. Allows copying of static data related to neuron dynamics to the device.

Reimplemented from Neurons.

Reimplemented in AdExSpikingNeurons, IzhikevichSpikingNeurons, LIFSpikingNeurons, and PoissonInputSpikingNeurons.

virtual void SpikingNeurons::reset_neuron_activities ( ) [virtual]

Resets any undesired device based data which is dynamically reassigned during a simulation. In this case, the current to be injected at the next time step.

Reimplemented from Neurons.

Reimplemented in AdExSpikingNeurons, IzhikevichSpikingNeurons, GeneratorInputSpikingNeurons, and PoissonInputSpikingNeurons.

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

Neurons/SpikingNeurons.h

Public Member Functions

Public Attributes

Member Function Documentation