|
Spike!
v1.0
A high speed Spiking Neural Network Simulator designed for GPGPUs.
|
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 | update_membrane_potentials (float timestep, float current_time_in_seconds) |
Public Attributes | |
| float * | membrane_time_constants_tau_m |
| float * | membrane_resistances_R |
| float * | d_membrane_time_constants_tau_m |
| float * | d_membrane_resistances_R |
| float | refractory_period_in_seconds |
| virtual int LIFSpikingNeurons::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.
| group_params | A neuron_parameters_struct instance describing a 2D neuron population size. |
Reimplemented from SpikingNeurons.
| virtual void LIFSpikingNeurons::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.
| 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 LIFSpikingNeurons::copy_constants_to_device | ( | ) | [virtual] |
Unused in this class. Allows copying of static data related to neuron dynamics to the device.
Reimplemented from SpikingNeurons.
1.7.6.1