An Adaptive Solid‐State Synapse with Bi‐Directional Relaxation for Multimodal Recognition and Spatio‐Temporal Learning

Nie, Fang; Fang, Hongyuan; Wang, Jie; Zhao, Le; Chen, Jia; Ma, Shuanger; Wu, Feiyang; Zhao, Wenbo; Yang, Shuting; Wei, Shizhan; Li, Shuang; Ge, Chen; Nogaret, Alain; Yan, Shishen; Zheng, Limei

doi:10.1002/adma.202412006

articleAdvanced MaterialsMar 16, 2025BRONZE OA

An Adaptive Solid‐State Synapse with Bi‐Directional Relaxation for Multimodal Recognition and Spatio‐Temporal Learning

FNFang Nie HFHongyuan Fang JWJie Wang LZLe Zhao JCJia Chen

Shandong University · Harbin Institute of Technology · +6 more institutions

PubMed

Indexed incrossrefpubmed

Abstract

The brain's unique processing power, such as perception, understanding, and interaction with the multimodal world, is achieved through diverse synaptic functionalities, which include varied temporal responses and adaptation. Although specific functions in brain-like computing have been successfully realized, emulating multimodal recognition and spatio-temporal learning remain significant challenges due to the difficulties in achieving multimodal signal processing and adaptive long-term plasticity in a single electronic synapse. Here, a purely electrically-modulated ferroelectric tunnel junction (FTJ) memristive synapse which realizes multimodal recognition and spatio-temporal pattern identification, through…

Citation impact

54

total citations

FWCI: 31.23
Percentile: 100%
References: 51

Citations per year

Authors

15

Topics & keywords

Topics

Keywords

Neuromorphic engineering
Computer science
Perception
Neuroscience
Artificial intelligence
Artificial neural network
Materials science

No related works found for this paper.