Emulation of auditory senses depending on chaotic dynamics of threshold switching memristor
作者机构：Key Laboratory of Advanced Materials(MOE)School of Materials Science andEngineeringTsinghua UniversityBeijingthe People's Republic of China2Center for Brain Inspired ComputingResearch(CBICR)Tsinghua UniversityBeijingthe People's Republic of China
出 版 物：《InfoMat》 (信息材料（英文）)
年 卷 期：2023年第5卷第10期
页 面：53-63页
核心收录：
学科分类：080903[工学-微电子学与固体电子学] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学]
基 金：National Natural Science Foundation of China Grant/Award Number:51972192
主 题：auditory senses chaotic dynamics intensity coding phase locking sound location thresholdswitching memristor
摘 要：Emulating the auditory sense is a significant challenge in terms of both integration and energy consumption for handling complicated spatiotemporal ***,we demonstrate how to utilize the chaotic dynamics of a threshold switching memristor,which usually acts as a leaky integrate and fire neuron in the neuromorphic network,to encode the frequency and amplitude in auditory *** fabricate a Pd/Nb/NbOx/Nb/Pd memristor domi-nated by the Poole-Frankel conduction mechanism,set its state at the edge of chaos,and stimulate it using periodic *** memristor s responses to the perturbation frequencies can be categorized into three *** are phase locking with linear phase-frequency rela tionships,and one has a hyper-bolic spike number-frequency *** memristor system also enables intensity coding and tonotopy by modulating the response spikes in either the locked phase or spike *** on the emulation of these two features,the memristor system demonstrates sound location and frequency *** study suggests a novel routine for handling the auditory and visual senses using threshold-switching memristor arrays to enhance the efficiency of neuromorphic networks.
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