Generation of STDP With Non-Volatile Tunnel-FET Memory for Large-Scale and Low-Power Spiking Neural Networks

Autor: Hisashi Kino, Takafumi Fukushima, Tetsu Tanaka
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: IEEE Journal of the Electron Devices Society, Vol 8, Pp 1266-1271 (2020)
Druh dokumentu: article
ISSN: 2168-6734
DOI: 10.1109/JEDS.2020.3025336
Popis: Spiking neural networks (SNNs) have attracted considerable attention as next-generation neural networks. As SNNs consist of devices that have spike-timing-dependent plasticity (STDP) characteristics, STDP is one of the critical characteristics we need to consider to implement an SNN. In this study, we generated the STDP of a biological synapse with non-volatile tunnel-field-effect-transistor (tunnel FET) memory that has a charge-storage layer and a tunnel FET structure. Tunnel FET is a promising structure to reduce the operation voltage owing to its steep sub-threshold slope. Therefore, the non-volatile tunnel-FET memory we propose enables the implementation of low-operation-voltage SNNs. This article reports the I-V, programming, and both symmetric and asymmetric STDP characteristics of a non-volatile tunnel-FET memory with p-channel-MOS-like operation.
Databáze: Directory of Open Access Journals