Paper Title
Review of Spiking Neuron Models for Neuromorphic Hardware Implementation

Hardware implementation of spiking neural networks (SNN) has been the focus of many prior works [1-3] due to its relatively low power consumption. When building SNNs, it is typical to consider various forms of neuron models, as it is the key computational unit in the neural network. In this paper, various different digital neuron models will be introduced, followed by an analysis done on each of them, along with comparisons pertaining a series of different features they contain. Three methods of implementing LLIF on hardware will be looked at and comparisons will be made towards their respective components. Index Terms - Spiking Neuron Model, Spiking Neural Network Hardware, Digital Neuron Circuits.