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Programmable Synaptic Metaplasticity and below Femtojoule Spiking Energy Realized in Graphene-Based Neuromorphic Memristor.
ACS Appl Mater Interfaces 2018; 10(24):20237-20243AA

Abstract

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.

Authors+Show Affiliations

State Key Laboratory of Electronic Thin Films and Integrate Devices , University of Electronic Science and Technology of China , Chengdu 610054 , China.State Key Laboratory of Electronic Thin Films and Integrate Devices , University of Electronic Science and Technology of China , Chengdu 610054 , China.No affiliation info availableDepartment of Electrical and Computer Engineering , University of California , Riverside , California 92521 , United States.Integrated Service Technology , Shanghai , China.No affiliation info availableDepartment of Electronics Engineering and Institute of Electronics , National Chiao Tung University , Hsinchu , 300 , Taiwan.No affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

29873237

Citation

Liu, Bo, et al. "Programmable Synaptic Metaplasticity and Below Femtojoule Spiking Energy Realized in Graphene-Based Neuromorphic Memristor." ACS Applied Materials & Interfaces, vol. 10, no. 24, 2018, pp. 20237-20243.
Liu B, Liu Z, Chiu IS, et al. Programmable Synaptic Metaplasticity and below Femtojoule Spiking Energy Realized in Graphene-Based Neuromorphic Memristor. ACS Appl Mater Interfaces. 2018;10(24):20237-20243.
Liu, B., Liu, Z., Chiu, I. S., Di, M., Wu, Y., Wang, J. C., ... Lai, C. S. (2018). Programmable Synaptic Metaplasticity and below Femtojoule Spiking Energy Realized in Graphene-Based Neuromorphic Memristor. ACS Applied Materials & Interfaces, 10(24), pp. 20237-20243. doi:10.1021/acsami.8b04685.
Liu B, et al. Programmable Synaptic Metaplasticity and Below Femtojoule Spiking Energy Realized in Graphene-Based Neuromorphic Memristor. ACS Appl Mater Interfaces. 2018 Jun 20;10(24):20237-20243. PubMed PMID: 29873237.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Programmable Synaptic Metaplasticity and below Femtojoule Spiking Energy Realized in Graphene-Based Neuromorphic Memristor. AU - Liu,Bo, AU - Liu,Zhiwei, AU - Chiu,In-Shiang, AU - Di,MengFu, AU - Wu,YongRen, AU - Wang,Jer-Chyi, AU - Hou,Tuo-Hung, AU - Lai,Chao-Sung, Y1 - 2018/06/11/ PY - 2018/6/7/pubmed PY - 2018/6/7/medline PY - 2018/6/7/entrez KW - artificial synapses KW - below femtojoule spiking energy KW - graphene electrode KW - neuromorphic memristor KW - programmable metaplasticity KW - spike-timing dependent plasticity SP - 20237 EP - 20243 JF - ACS applied materials & interfaces JO - ACS Appl Mater Interfaces VL - 10 IS - 24 N2 - 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. SN - 1944-8252 UR - https://www.unboundmedicine.com/medline/citation/29873237/Programmable_Synaptic_Metaplasticity_and_below_Femtojoule_Spiking_Energy_Realized_in_Graphene_Based_Neuromorphic_Memristor_ L2 - https://dx.doi.org/10.1021/acsami.8b04685 DB - PRIME DP - Unbound Medicine ER -