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Neuronal dynamics in HfO

Authors :
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
Source :
Nanoscale. 11(1)
Publication Year :
2018

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.

Details

ISSN :
20403372
Volume :
11
Issue :
1
Database :
OpenAIRE
Journal :
Nanoscale
Accession number :
edsair.pmid..........4451b10544e83dc38140c743e90abd16