Neuronal dynamics in HfOx/AlOy-based homeothermic synaptic memristors with low-power and homogeneous resistive switching

Sungjun Kim, Jia Chen, Ying Chen Chen, Min Hwi Kim, Hyungjin Kim, Min Woo Kwon, Sungmin Hwang, Muhammad Ismail, Yi Li, Xiang Shui Miao, Yao Feng Chang, Byung Gook Park

Research output: Contribution to journalArticlepeer-review

65 Scopus citations

Abstract

We studied the pseudo-homeothermic synaptic behaviors by integrating complimentary metal-oxide-semiconductor-compatible materials (hafnium oxide, aluminum oxide, and silicon substrate). A wide range of temperatures, from 25 °C up to 145 °C, in neuronal dynamics was achieved owing to the homeothermic properties and the possibility of spike-induced synaptic behaviors was demonstrated, both presenting critical milestones for the use of emerging memristor-type neuromorphic computing systems in the near future. Biological synaptic behaviors, such as long-term potentiation, long-term depression, and spike-timing-dependent plasticity, are developed systematically, and comprehensive neural network analysis is used for temperature changes and to conform spike-induced neuronal dynamics, providing a new research regime of neurocomputing for potentially harsh environments to overcome the self-heating issue in neuromorphic chips.

Original languageEnglish (US)
Pages (from-to)237-245
Number of pages9
JournalNanoscale
Volume11
Issue number1
DOIs
StatePublished - Jan 7 2019
Externally publishedYes

ASJC Scopus subject areas

  • Materials Science(all)

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