A Neuromorphic Model for Image Recognition using SNN
R. Kabilan, N. Muthukumaran
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.
Topics & Concepts
Neuromorphic engineeringComputer scienceSpiking neural networkConvolution (computer science)Spike (software development)Artificial intelligenceImage (mathematics)Computer architectureArtificial neural networkBiological neuron modelConvolutional neural networkPattern recognition (psychology)Computer engineeringSoftware engineeringAdvanced Memory and Neural ComputingNeural Networks and ApplicationsCCD and CMOS Imaging Sensors