FPGA Realization of a High-Speed Spiking Neural Network with Modified LIF Neurons for Pattern Recognition

Abstract

This paper presents the multiplier-less Modified Leaky Integrate and Fire Neuron Unit (MLIFNU) and proposed a modified Spiking Neural Network (SNN) architecture for Pattern Recognition application. Synthesis results of implementation on Field-Programmable Gate Array are presented. Accordingly, the maximum frequency of the MLIFNU and SNN are 361.991 MHz and 281.442 MHz, respectively.