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Evidence of Biorealistic Synaptic Behavior in Diffusive Li-based Two-terminal Resistive Switching Devices.
Scientific Reports ( IF 4.6 ) Pub Date : 2020-05-26 , DOI: 10.1038/s41598-020-65237-0
Panagiotis S Ioannou 1 , Evripides Kyriakides 1 , Olivier Schneegans 2 , John Giapintzakis 1
Affiliation  

Following the recent advances in artificial synaptic devices and the renewed interest regarding artificial intelligence and neuromorphic computing, a new two-terminal resistive switching device, based on mobile Li+ ions is hereby explored. Emulation of neural functionalities in a biorealistic manner has been recently implemented through the use of synaptic devices with diffusive dynamics. Mimicking of the spontaneous synaptic weight relaxation of neuron cells, which is regulated by the concentration kinetics of positively charged ions like Ca2+, is facilitated through the conductance relaxation of such diffusive devices. Adopting a battery-like architecture, using LiCoO2 as a resistive switching cathode layer, SiOx as an electrolyte and TiO2 as an anode, Au/LiCoO2/SiOx/TiO2/p++-Si two-terminal devices have been fabricated. Analog conductance modulation, via voltage-driven regulation of Li+ ion concentration in the cathode and anode layers, along with current rectification and nanobattery effects are reported. Furthermore, evidence is provided for biorealistic synaptic behavior, manifested as paired pulse facilitation based on the summation of excitatory post-synaptic currents and spike-timing-dependent plasticity, which are governed by the Li+ ion concentration and its relaxation dynamics.



中文翻译:

扩散的基于锂的二端电阻开关设备中的生物现实突触行为的证据。

继人工突触设备的最新进展以及对人工智能和神经形态计算的新兴趣之后,据此探索了一种基于移动Li +离子的新型两端电阻式开关设备。最近,通过使用具有扩散动力学的突触设备,以生物逼真的方式对神经功能进行了仿真。通过这种扩散装置的电导弛豫来促进神经元细胞的突触自发权重弛豫的模仿,其由诸如Ca 2+的带正电离子的浓度动力学来调节。采用类似电池的架构,将LiCoO 2用作电阻切换阴极层SiO x作为电解质和作为阳极的TiO 2,已经制造了Au / LiCoO 2 / SiO x / TiO 2 / p ++ -Si两端子装置。据报道,通过电导调节阴极和阳极层中Li +离子浓度的模拟电导调制,以及电流整流和纳米电池效应。此外,提供了逼真的突触行为的证据,表现为基于兴奋性突触后电流和依赖于尖峰时序的可塑性之和的成对脉冲促进,这由Li +离子浓度及其弛豫动力学决定。

更新日期:2020-05-26
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