Using parallel GPU architecture for simulation of planar I/F networks

Our work describes the simulation of a planar network of spiking I/F neurons on graphics processing hardware. The described approach adds to the fast-growing field of general-purpose computation on GPUs (GPGPU). We provide an in-depth explanation of the steps involved in implementing the network using programmable shading hardware. We replicated simulation results by Hopfield et al. [1] and Maida et al. [2] and give qualitative and quantitative measures of our implementation.