Literature DB >> 30818296

Understanding of proton induced synaptic behaviors in three-terminal synapse device for neuromorphic systems.

Jongwon Lee1, Seokjae Lim, Myonghoon Kwak, Jeonghwan Song, Hyunsang Hwang.   

Abstract

In this study, we investigate a proton-based three-terminal (3-T) synapse device to realize linear weight-update and I-V linearity characteristics for neuromorphic systems. The conductance states of the 3-T synapse device can be controlled by modulating the proton concentration in the WOx channel. Therefore, we estimate the dynamic change of proton concentration in the channel region, which directly affects synaptic behaviors. Our findings indicate that the supply of an excess number of protons from the SiO2-H electrolyte and low proton diffusivity in the WOx channel result in asymmetric and non-linear weight-update characteristics. In addition, though the linear I-V characteristics can be obtained using non-stoichiometric WOx, we observe that significant oxygen deficiency in the channel region increases the operating current levels. Thus, based on this information, we introduce optimized conditions of each component in the 3-T synapse device and shape of the gate voltage pulses. As a result, an excellent classification accuracy is achieved using linear weight-update and I-V linearity characteristics under optimized device and pulse conditions.

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Year:  2019        PMID: 30818296     DOI: 10.1088/1361-6528/ab0b97

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  3 in total

1.  Alternative negative weight for simpler hardware implementation of synapse device based neuromorphic system.

Authors:  Geonhui Han; Chuljun Lee; Jae-Eun Lee; Jongseon Seo; Myungjun Kim; Yubin Song; Young-Ho Seo; Daeseok Lee
Journal:  Sci Rep       Date:  2021-12-01       Impact factor: 4.379

2.  Near ideal synaptic functionalities in Li ion synaptic transistor using Li3POxSex electrolyte with high ionic conductivity.

Authors:  Revannath Dnyandeo Nikam; Myonghoon Kwak; Jongwon Lee; Krishn Gopal Rajput; Writam Banerjee; Hyunsang Hwang
Journal:  Sci Rep       Date:  2019-12-11       Impact factor: 4.379

Review 3.  Ion-Driven Electrochemical Random-Access Memory-Based Synaptic Devices for Neuromorphic Computing Systems: A Mini-Review.

Authors:  Heebum Kang; Jongseon Seo; Hyejin Kim; Hyun Wook Kim; Eun Ryeong Hong; Nayeon Kim; Daeseok Lee; Jiyong Woo
Journal:  Micromachines (Basel)       Date:  2022-03-17       Impact factor: 2.891

  3 in total

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