A Neuromorphic Model for Image Recognition using SNN

Abstract

This study paper explains the Neuromorphic Model using Convolution and Spike time dependent plasticity for Image Recognition. This Spiking Neural Network (SNN) uses integrated-and-fire neuron model. As SNN utilizes naturally reasonable models of neurons to do calculation, it gives quick learning rate and low force utilization. These are the demanding design metrics for machine learning algorithm's hardware implementation. Neuromorphic helps in achieving all these design metrics easily. Here a deep (multilayered) convolution network is designed usingSNN.