Realization of Diverse Spike-timing-dependent Plasticity with Nanosecond Timescale Based on Metal Oxide Resistive Switching Memory

Author(s):  
Ruiyi Li ◽  
Peng Huang ◽  
Yulin Feng ◽  
Zheng Zhou ◽  
Xiangyu Wang ◽  
...  
2020 ◽  
Vol 67 (7) ◽  
pp. 2800-2806
Author(s):  
Stefano Bianchi ◽  
Giacomo Pedretti ◽  
Irene Munoz-Martin ◽  
Alessandro Calderoni ◽  
Nirmal Ramaswamy ◽  
...  

2015 ◽  
Vol 1 (8) ◽  
pp. 1500061 ◽  
Author(s):  
Jian-Shiou Huang ◽  
Yung-Chang Lin ◽  
Hung-Wei Tsai ◽  
Wen-Chun Yen ◽  
Chia-Wei Chen ◽  
...  

2016 ◽  
Vol 1 (4) ◽  
Author(s):  
Yao-Feng Chang ◽  
Burt Fowler ◽  
Ying-Chen Chen ◽  
Fei Zhou ◽  
Chih-Hung Pan ◽  
...  

Abstract We realize a device with biological synaptic behaviors by integrating silicon oxide (SiOx) resistive switching memory with Si diodes to further minimize total synaptic power consumption due to sneak-path currents and demonstrate the capability for spike-induced synaptic behaviors, representing critical milestones for the use of SiO2-based materials in future neuromorphic computing applications. Biological synaptic behaviors such as long-term potentiation, long-term depression, and spike-timing dependent plasticity are demonstrated systemically with comprehensive investigation of spike waveform analyses and represent a potential application for SiOx-based resistive switching materials. The resistive switching SET transition is modeled as hydrogen (proton) release from the (SiH)2 defect to generate the hydrogenbridge defect, and the RESET transition is modeled as an electrochemical reaction (proton capture) that re-forms (SiH)2. The experimental results suggest a simple, robust approach to realize programmable neuromorphic chips compatible with largescale complementary metal-oxide semiconductor manufacturing technology.


Sign in / Sign up

Export Citation Format

Share Document