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Synaptic Computation Enabled by Joule Heating of Single-Layered Semiconductors for Sound Localization

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Title
Synaptic Computation Enabled by Joule Heating of Single-Layered Semiconductors for Sound Localization
Author(s)
Linfeng Sun; Yishu Zhang; Geunwoo Hwang; Jinbao Jiang; Dohyun Kim; Yonas Assefa Eshete; Rong Zhao; Heejun Yang
Subject
Synaptic computation, ; metal insulator transition, ; doping, ; two-dimensional materials, ; semiconductor, ; resistive heating
Publication Date
2018-05
Journal
NANO LETTERS, v.18, no.5, pp.3229 - 3234
Publisher
AMER CHEMICAL SOC
Abstract
Synaptic computation, which is vital for information processing and decision making in neural networks, has remained technically challenging to be demonstrated without using numerous transistors and capacitors, though significant efforts have been made to emulate the biological synaptic transmission such as short-term and longterm plasticity and memory. Here, we report synaptic computation based on Joule heating and versatile doping induced metal-insulator transition in a scalable monolayer-molybdenum disulfide (MoS2) device with a biologically comparable energy consumption (similar to 10 fJ). A circuit with our tunable excitatory and inhibitory synaptic devices demonstrates a key function for realizing the most precise temporal computation in the human brain, sound localization: detecting an interaural time difference by suppressing sound intensity- or frequency-dependent synaptic connectivity. This Letter opens a way to implement synaptic computing in neuromorphic applications, overcoming the limitation of scalability and power consumption in conventional CMOS-based neuromorphic devices © 2018 American Chemical Society
URI
https://pr.ibs.re.kr/handle/8788114/4506
DOI
10.1021/acs.nanolett.8b00994
ISSN
1530-6984
Appears in Collections:
Center for Integrated Nanostructure Physics(나노구조물리 연구단) > 1. Journal Papers (저널논문)
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Synaptic Computation_Nano Letters_Hee Jun Yang.pdfDownload

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