童浩

·Paper Publications

Current position: 英文主页 > Scientific Research > Paper Publications
Selecting and Optimizing threshold switching materials and devices for stochastic neuron
Release time:2023-08-21  Hits:

Indexed by: 会议

First Author: 王宽

Correspondence Author: 何艈辉,TONG HAO

Co-author: 缪向水,张大友,胡庆

Journal: IEEE Electron Devices Technology & Manufacturing Conference (EDTM)

Affiliation of Author(s): 华中科技大学

Discipline: Engineering

First-Level Discipline: Electronic Science And Technology

Document Type: C

Key Words: TSM, CBTS and stochastic neuron

DOI number: 10.1109/EDTM50988.2021.9420998

Date of Publication: 4432-08-01

Abstract: Rather than stiffly giving out spikes upon reaching a fixed threshold voltage, the biological neurons show quite dynamic excitation behaviors namely stochastic firing which is regarded to play a critical role in probabilistic computing. In this work we realize electronic stochastic neuron by developing and examining through three major kinds of threshold switching memristors (TSMs). The novel CuS/GeSe conducting-bridge threshold switching (CBTS) memristor is identified as the best candidate owing to the most desired stochastic switching behavior as well as the similarity with biological ion channels

Links to published journals: https://ieeexplore.ieee.org/abstract/document/9420998