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

IEEE TRANSACTIONS ON ELECTRON DEVICES [2024]
Gaoliang Zhou, Gang He, Jiawei Yang, Wentao Su, Can Fu, Huanhuan Wei, Bo He
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.

MATERIALS

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