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.
Authors
- Wentao Su (ORCID: https://orcid.org/0000-0002-5233-1093)
- Huanhuan Wei (ORCID: https://orcid.org/0000-0002-1306-5941)
- Can Fu
- Gang He (ORCID: https://orcid.org/0000-0001-5801-0525)
- Jiawei Yang (ORCID: https://orcid.org/0000-0002-7210-4402)
- Bo He (ORCID: https://orcid.org/0000-0003-3888-6102)
- Gaoliang Zhou
Institutions
- Anhui University (CN)
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
Funders
- National Natural Science Foundation of China