GeneratorInputSpikingNeurons Class Reference

Inheritance diagram for GeneratorInputSpikingNeurons:

List of all members.

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_storage)
virtual void	reset_neuron_activities ()
virtual void	set_threads_per_block_and_blocks_per_grid (int threads)
virtual void	check_for_neuron_spikes (float current_time_in_seconds, float timestep)
virtual void	update_membrane_potentials (float timestep, float current_time_in_seconds)
void	AddStimulus (int spikenumber, int *ids, float *spiketimes)
Public Attributes
int	length_of_longest_stimulus
int *	number_of_spikes_in_stimuli
float *	temporal_lengths_of_stimuli
int **	neuron_id_matrix_for_stimuli
float **	spike_times_matrix_for_stimuli
int *	d_neuron_ids_for_stimulus
float *	d_spike_times_for_stimulus

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Member Function Documentation

virtual int GeneratorInputSpikingNeurons::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 InputSpikingNeurons.

virtual void GeneratorInputSpikingNeurons::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 SpikingNeurons.

virtual void GeneratorInputSpikingNeurons::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 SpikingNeurons.

virtual void GeneratorInputSpikingNeurons::set_threads_per_block_and_blocks_per_grid

(

int

threads

)

[virtual]

A local, non-polymorphic function called in to determine the CUDA Device thread (Neurons::threads_per_block) and block dimensions (Neurons::number_of_neuron_blocks_per_grid).

Reimplemented from Neurons.

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

• Neurons/GeneratorInputSpikingNeurons.h