journal article·2022-08-23

Multimode Synaptic Operation of a HfAlOx-Based Memristor as a Metaplastic Device for Neuromorphic Applications

Hyung Seok Shin, Hanchan Song, Do Hoon Kim, Alba Martinez, Woon Hyung Cheong, Kyung Min Kim

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Abstract

Metaplasticity is one of the synaptic functions in the brain, known as the plasticity of synapse plasticity. It allows some specific functions of the brain, such as continual learning, rapid homeostasis, and synaptic tag-and-capture functions. Here, we propose an electrically triggerable HfAlOx-based metaplastic device that exhibits reversible multimode synaptic behaviors. The origin of the synaptic characteristic change is the change in the serial and parallel resistance components of the memristive system, accompanied by unbalanced oxygen flux during the set and reset switching, triggered by the priming activity. Four distinguishable potentiation and depression characteristics (two stable modes and two transition modes) are suggested, which can be explained using a plausible schematic model. A hardware-based adaptive learning system for artificial neural networks is proposed as a potential application of the metaplastic device.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Neuroscience and Neural Engineering · Ferroelectric and Negative Capacitance Devices

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Materials Science and Engineering, KAIST, Deajeon 34141, Republic of Korea

Funding

National Research Foundation of Korea · SK Hynix · Korea Advanced Institute of Science and Technology

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