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- Title
Multisensory Ferroelectric Semiconductor Synapse for Neuromorphic Computing.
- Authors
Zeng, Jinhua; Feng, Guangdi; Wu, Guangjian; Liu, Jianquan; Zhao, Qianru; Wang, Huiting; Wu, Shuaiqin; Wang, Xudong; Chen, Yan; Han, Suting; Tian, Bobo; Duan, Chungang; Lin, Tie; Ge, Jun; Shen, Hong; Meng, Xiangjian; Chu, Junhao; Wang, Jianlu
- Abstract
Integrated 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.
- Subjects
NEUROPLASTICITY; SYNAPSES; OPTICAL information processing; PULSE modulation; SEMICONDUCTORS; LOW vision
- Publication
Advanced Functional Materials, 2024, Vol 34, Issue 19, p1
- ISSN
1616-301X
- Publication type
Article
- DOI
10.1002/adfm.202313010