High-Performance Heterojunction Nanofibers Synaptic Transistors for Sensory Integration in Bionic Systems

The development of high-performance thin-film-transistors (TFTs) is of paramount importance for human-computer interaction and neuromorphic computing. Therefore, this work presents an arrayed nanofibers (NFs) heterojunction (InSnO/ZnO) synaptic transistor; the introduction of array heterojunction (AH) architectures significantly enhances the overall performance of NF transistors. The arrayed heterojunction NFs synaptic transistor demonstrates excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), and the transitions from short-term to long-term potentiation (STP-LTP). These features suggest potential applications in neuromorphic computing, including constructing artificial neural network (ANN) models for image recognition. Additionally, to study memory behavior in multisensory integration, an artificial audio-visual integration device was developed, successfully mimicking bionic behaviors such as the cocktail party effect and its memory aspects in various environments. These results indicate that the as-prepared synaptic transistor has promising applications in future circuit designs and artificial intelligence chips.

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Publication Details

Journal
IEEE Transactions on Electron Devices
Published
2024-11-05
DOI
https://doi.org/10.1109/ted.2024.3487128
Citations
5
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
1.04

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article

High-Performance Heterojunction Nanofibers Synaptic Transistors for Sensory Integration in Bionic Systems

Wentao Su, Huanhuan Wei, Can Fu, Gang He et al.
5 citations
IEEE Transactions on Electron Devices
Advanced Memory and Neural Computing
1.04
article

High-Performance Heterojunction Nanofibers Synaptic Transistors for Sensory Integration in Bionic Systems

Wentao Su, Huanhuan Wei, Can Fu, Gang He, Jiawei Yang, Bo He, Gaoliang Zhou
article en
5 citations

Abstract

The development of high-performance thin-film-transistors (TFTs) is of paramount importance for human-computer interaction and neuromorphic computing. Therefore, this work presents an arrayed nanofibers (NFs) heterojunction (InSnO/ZnO) synaptic transistor; the introduction of array heterojunction (AH) architectures significantly enhances the overall performance of NF transistors. The arrayed heterojunction NFs synaptic transistor demonstrates excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), and the transitions from short-term to long-term potentiation (STP-LTP). These features suggest potential applications in neuromorphic computing, including constructing artificial neural network (ANN) models for image recognition. Additionally, to study memory behavior in multisensory integration, an artificial audio-visual integration device was developed, successfully mimicking bionic behaviors such as the cocktail party effect and its memory aspects in various environments. These results indicate that the as-prepared synaptic transistor has promising applications in future circuit designs and artificial intelligence chips.

IEEE Transactions on Electron DevicesVol. 71(12)
Anhui University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 23%
Advanced Memory and Neural Computing
1.04
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High-Performance Heterojunction Nanofibers Synaptic Transistors for Sensory Integration in Bionic Systems — Wentao Su, Huanhuan Wei, et al. · IEEE Transactions on Electron Devices (2024) | TGRS Research Map | TGRS