Fully Unsupervised Spike-Rate-Dependent Plasticity Learning With Oxide-Based Memory Devices

Author(s):  
Manoj Kumar ◽  
Sai Sukruth Bezugam ◽  
Sufyan Khan ◽  
Manan Suri
2020 ◽  
Vol 67 (8) ◽  
pp. 3451-3458
Author(s):  
Pavan Kumar Reddy Boppidi ◽  
Bharathwaj Suresh ◽  
Ainur Zhussupbekova ◽  
Pranab Biswas ◽  
Daragh Mullarkey ◽  
...  

RSC Advances ◽  
2015 ◽  
Vol 5 (119) ◽  
pp. 98110-98117 ◽  
Author(s):  
W. S. Dong ◽  
F. Zeng ◽  
S. H. Lu ◽  
X. J. Li ◽  
C. T. Chang ◽  
...  

Long-term bidirectional frequency selectivity has been achieved in MEH-PPV/PEO–Nd3+cells, which suggests spike-rate-dependent plasticity learning protocol. It depends on pulse shape due to variation of ionic type.


2020 ◽  
Vol 12 (6) ◽  
pp. 7833-7839 ◽  
Author(s):  
Zheng Yu Ren ◽  
Li Qiang Zhu ◽  
Yan Bo Guo ◽  
Ting Yu Long ◽  
Fei Yu ◽  
...  

2016 ◽  
Vol 54 (23) ◽  
pp. 2412-2417 ◽  
Author(s):  
Wenshuai Dong ◽  
Fei Zeng ◽  
Yuandong Hu ◽  
Chiating Chang ◽  
Xiaojun Li ◽  
...  

Nanoscale ◽  
2015 ◽  
Vol 7 (40) ◽  
pp. 16880-16889 ◽  
Author(s):  
W. S. Dong ◽  
F. Zeng ◽  
S. H. Lu ◽  
A. Liu ◽  
X. J. Li ◽  
...  

Frequency-dependent learning has been achieved using semiconducting polymer/electrolyte composite cells, which realized conventional spike-rate-dependent plasticity learning protocol.


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