標題: Development of Three-Dimensional Synaptic Device and Neuromorphic Computing Hardware
作者: Wang, I-Ting
Chou, Teyuh
Chiu, Li-Wen
Chang, Chih-Cheng
Hou, Tuo-Hung
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
公開日期: 1-Jan-2016
摘要: 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 x 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.
URI: http://hdl.handle.net/11536/152552
ISBN: 978-1-4673-9719-3
期刊: 2016 13TH IEEE INTERNATIONAL CONFERENCE ON SOLID-STATE AND INTEGRATED CIRCUIT TECHNOLOGY (ICSICT)
起始頁: 620
結束頁: 623
Appears in Collections:Conferences Paper