docs_gpu.md

CUDA Documentation

Izhikevich Neuron

Iterate

void iterate(
    float *input
    float *voltage,
    float *w,
    float *dv,
    float *dw,
    float *alpha,
    float *beta,
    float *c,
    float *d,
    float *dt,
    float *tau_m,
    float *v_th,
    int *is_spiking,
    int n
)

Iterates the given Izhikevich neurons with their specified parameters one time based on a seris of input voltages

• input: *float : Input voltages (mV)
• voltage: *float : Current voltage of the given Izhikevich neuron (mV)
• w: *float : Current adaptive value of the given Izhikevich neuron
• dv: *float : Array to write changes in voltage to
• dw: *float : Array to write changes in adaptive value to
• alpha: *float : Array of arbitrary $\alpha$ values that control speed in Izhikevich mode
• beta: *float : Array of arbitrary $\beta$ values that control sensitivity to w in Izhikevich mode
• c: *float : Array of after spike reset values for voltage in Izhikevich mode
• d: *float : Array of after spike reset values for w in Izhikevich mode
• dt: float : Simulation timestep value (ms)
• tau_m: *float : Neuronal ${\tau}_{m}$ value
• v_th: *float : Voltage threshold (mV)
• is_spiking: *int : Whether or not the given neuron is spiking
• n: int : Size of the neuron array

Lattice

Calculate Inputs

Iterate Lattice