Development of three-dimensional synaptic device and neuromorphic computing hardware

I. Ting Wang, Teyuh Chou, Li Wen Chiu, Chih Cheng Chang, Tuo-Hung Hou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

To facilitate the development of low-cost, low-power, and high-density hardware neural networks, we have successfully developed a Ta/TaOx/TiO2/Ti RRAM-based synaptic device. The device exhibits numerous synaptic functions resembling those in biological synapses, including synaptic plasticity of potentiation and depression, spike-timing dependent plasticity, paired-pulse facilitation and a transition from short-term to long-term memory. We further demonstrate 3D high-density, high-connectivity integration of the Ta/TaOx/TiO2/Ti device, and the device exhibits excellent uniformity among interlayer and intralayer cells in a 4 × 4 3D two-layer cross-point array. Finally, we investigate the influence of nonlinearity of synaptic weight updates on neuromorphic computing. A state-independent training scheme is proposed to improve linearity and fault tolerance of training accuracy.

Original languageEnglish
Title of host publication2016 13th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2016 - Proceedings
EditorsYu-Long Jiang, Ting-Ao Tang, Ru Huang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages620-623
Number of pages4
ISBN (Electronic)9781467397179
DOIs
StatePublished - 2016
Event13th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2016 - Hangzhou, China
Duration: 25 Oct 201628 Oct 2016

Publication series

Name2016 13th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2016 - Proceedings

Conference

Conference13th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2016
Country/TerritoryChina
CityHangzhou
Period25/10/1628/10/16

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