A super Threshold Compact Silicon Neuron Circuit for Different Neuron Dynamics Suitable for Spiking Neural Network

Abstract

In this work we have designed and simulated a compact accelerated time silicon neuron circuit in super threshold to achieve proper neural dynamics. With this circuit we have accurately modeled regular spiking (RS), fast spiking (FS), chattering (CH) and intrinsic bursting (IB). The functionality of this circuit is verified with extreme simulation in 32nm, 45nm and 22nm FinFET technology. For this circuits we have analyzed different comparator circuits to meet the required dynamics and concluded that threshold modified comparator serves our purpose best.