An Efficient Spiking Neuron Hardware System Based on the Hardware-Oriented Modified Izhikevich Neuron (HOMIN) Model

作     者：Leigh, Alexander J. Mirhassani, Mitra Muscedere, Roberto 

作者机构：Univ Windsor Dept Elect & Comp Engn Windsor ON N9B 3P4 Canada 

出 版 物：《IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS》 (IEEE Trans. Circuits Syst. Express Briefs)

年 卷 期：2020年第67卷第12期

页      面：3377-3381页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

基　　金：Canadian Microelectronics Company Natural Sciences and Engineering Research Council of Canada, NSERC 

主　　题：Neurons Mathematical model Hardware Integrated circuit modeling Computational modeling Biological system modeling Biological neural networks Spiking neuron neural networks rate coding digital hardware Izhikevich neuron model 

摘      要：Mathematical modifications have been made to the Izhikevich Neuron Model to allow for a simple, low-area digital hardware implementation with low computational intensity. The implemented neuron circuit only requires one input parameter to replicate all of the cortical neuron behaviours described by Izhikevich. The low hardware requirements of this neuron implementation make large, highly parallel digital spiking neural networks of this neuron feasible. Additionally, the model requires fewer external parameter changes to exhibit diverse neuron behaviours. The alterations made to create this novel model are presented in detail with a performance comparison to the original Izhikevich Neuron. Subsequently a digital hardware realization is presented and its performance is characterized.