Multisensory Ferroelectric Semiconductor Synapse for Neuromorphic Computing

Author:

Zeng Jinhua12ORCID,Feng Guangdi3,Wu Guangjian14,Liu Jianquan3,Zhao Qianru12,Wang Huiting12,Wu Shuaiqin15,Wang Xudong1,Chen Yan15,Han Suting6,Tian Bobo3,Duan Chungang3,Lin Tie1,Ge Jun1,Shen Hong1,Meng Xiangjian1,Chu Junhao135,Wang Jianlu145ORCID

Affiliation:

1. State Key Laboratory of Infrared Physics Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai 200083 China

2. University of Chinese Academy of Sciences Beijing 100049 China

3. Key Laboratory of Polar Materials and Devices (MOE) Shanghai Center of Brain‐inspired Intelligent Materials and Devices Department of Electronics East China Normal University Shanghai 200241 China

4. State Key Laboratory of Integrated Chips and Systems Frontier Institute of Chip and System Fudan University Shanghai 200433 China

5. Shanghai Frontier Base of Intelligent Optoelectronics and Perception Institute of Optoelectronics Fudan University Shanghai 200433 China

6. Department of Applied Biology and Chemical Technology The Hong Kong Polytechnic University Hong Kong SAR China

Abstract

AbstractIntegrated multifunctionality in visual information processing is crucial in the artificial intelligence era. Compared to the parallel human vision system, current bionic vision devices exhibit a complex structure with single functionality, challenging intelligent processing and integration. Here, a multisensory artificial synapse with a crossbar structure comprising graphene/α‐In2Se3/graphene layers is demonstrated, merging sensing, memory, and computing while mimicking various synaptic properties. The Schottky barrier height is modulated by the polarization of ferroelectric semiconductor α‐In2Se3, enabling reconfigurable device conductance and photoresponsivity. This conductance emulates synaptic short‐term and long‐term plasticity through electrical pulse modulation, boasting a rapid 40 ns programming speed. The device also exhibits linearly regulated photoresponsivity under illumination, with synaptic plasticity from optical pulses. The fusion of electronic and optoelectronic devices enables both image front‐end processing and advanced post‐processing. In‐sensor front‐end processing enhances subsequent processing efficiency, with pattern recognition accuracy reaching 97%. This design fosters the advancement of multisensory and highly integrated neuromorphic vision systems.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Wiley

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3