標題: Programmable Synaptic Metaplasticity and below Femtojoule Spiking Energy Realized in Graphene-Based Neuromorphic Memristor
作者: Liu, Bo
Liu, Zhiwei
Chiu, In-Shiang
Di, MengFu
Wu, YongRen
Wang, Jer-Chyi
Hou, Tuo-Hung
Lai, Chao-Sung
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: graphene electrode;neuromorphic memristor;artificial synapses;below femtojoule spiking energy;programmable metaplasticity;spike-timing dependent plasticity
公開日期: 20-Jun-2018
摘要: Memristors with rich interior dynamics of ion migration are promising for mimicking various biological synaptic functions in neuromorphic hardware systems. A graphene-based memristor shows an extremely low energy consumption of less than a femtojoule per spike, by taking advantage of weak surface van der Waals interaction of graphene. The device also shows an intriguing programmable metaplasticity property in which the synaptic plasticity depends on the history of the stimuli and yet allows rapid reconfiguration via an immediate stimulus. This graphene-based memristor could be a promising building block toward designing highly versatile and extremely energy efficient neuromorphic computing systems.
URI: http://dx.doi.org/10.1021/acsami.8b04685
http://hdl.handle.net/11536/145173
ISSN: 1944-8244
DOI: 10.1021/acsami.8b04685
期刊: ACS APPLIED MATERIALS & INTERFACES
Volume: 10
起始頁: 20237
結束頁: 20243
Appears in Collections:Articles