Inheritance diagram for AdExSpikingNeurons:

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	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
float *	adaptation_values_w
float *	membrane_capacitances_Cm
float *	membrane_leakage_conductances_g0
float *	leak_reversal_potentials_E_L
float *	slope_factors_Delta_T
float *	adaptation_coupling_coefficients_a
float *	adaptation_time_constants_tau_w
float *	adaptation_changes_b
float	absolute_refractory_period
float	background_current
float *	d_adaptation_values_w
float *	d_membrane_capacitances_Cm
float *	d_membrane_leakage_conductances_g0
float *	d_leak_reversal_potentials_E_L
float *	d_slope_factors_Delta_T
float *	d_adaptation_coupling_coefficients_a
float *	d_adaptation_time_constants_tau_w
float *	d_adaptation_changes_b

Member Function Documentation

virtual int AdExSpikingNeurons::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 SpikingNeurons.

virtual void AdExSpikingNeurons::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 AdExSpikingNeurons::copy_constants_to_device ( ) [virtual]

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

Reimplemented from SpikingNeurons.

virtual void AdExSpikingNeurons::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.

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

Neurons/AdExSpikingNeurons.h

Public Member Functions

Public Attributes

Member Function Documentation