Literature DB >> 31815426

Implementation of Simple but Powerful Trilayer Oxide-Based Artificial Synapses with Tailored Bio-synapse-Like Structure.

Haizhong Zhang, Xin Ju, Kwang Sing Yew, Diing Shenp Ang.   

Abstract

The ultimate aim of artificial synaptic devices is to mimic the features of biological synapses as closely as possible, in particular, its ability of self-adjusting the synaptic weight responding to the external stimulus. In this work, memristors, based on trilayer oxides with a stack structure of TiN/TiON/HfOy/HfOx/TiN, are designed to function as the artificial synapses where intrinsically designed oxygen-deficient HfOx layer, less oxygen-deficient HfOy layer, and TiON layer, imitating the corresponding biological functionality of the pre-synapse, synaptic cleft, and post-synapse, respectively, resemble the features of bio-synapses most closely. Thus, diverse bio-synaptic functions and plasticity, including long-term potentiation and depression, spike-rate-dependent plasticity, spike-timing-dependent plasticity, and metaplasticity, are fulfilled in these devices. Moreover, they exhibit analog plasticity in both potentiating and depressing, fully emulating the learning protocols of excitation and inhibition in the bio-synapses. The structure and Hf/O distribution of these devices, mimicking the structure and Ca2+ deployment of bio-synapses, are consolidated by the high-resolution transmission electron microscopy and energy dispersive X-ray spectroscopy, respectively. Powerful bio-realistic behavior, implemented in these simple artificial synaptic devices, make them tailored for neuromorphic hardware applications.

Entities:  

Year:  2019        PMID: 31815426     DOI: 10.1021/acsami.9b17026

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  1 in total

1.  The Effect of Multi-Layer Stacking Sequence of TiOx Active Layers on the Resistive-Switching Characteristics of Memristor Devices.

Authors:  Minho Kim; Kungsang Yoo; Seong-Pil Jeon; Sung Kyu Park; Yong-Hoon Kim
Journal:  Micromachines (Basel)       Date:  2020-01-30       Impact factor: 2.891

  1 in total

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