Enhanced memory capacity of a neuromorphic reservoir computing system based on a VCSEL with double optical feedbacks

2020 ◽  
Vol 63 (6) ◽  
Author(s):  
Xingxing Guo ◽  
Shuiying Xiang ◽  
Yahui Zhang ◽  
Aijun Wen ◽  
Yue Hao
Author(s):  
Alejandro Morán ◽  
Vincent Canals ◽  
Fabio Galan-Prado ◽  
Christian F. Frasser ◽  
Dhinakar Radhakrishnan ◽  
...  

2021 ◽  
Author(s):  
Md Razuan Hossain ◽  
Joseph S. Najem ◽  
Tauhidur Rahman ◽  
Md Sakib Hasan

2019 ◽  
Vol 2 (10) ◽  
pp. 480-487 ◽  
Author(s):  
John Moon ◽  
Wen Ma ◽  
Jong Hoon Shin ◽  
Fuxi Cai ◽  
Chao Du ◽  
...  

Author(s):  
Felix Köster ◽  
Dominik Ehlert ◽  
Kathy Lüdge

Abstract We analyse the memory capacity of a delay-based reservoir computer with a Hopf normal form as nonlinearity and numerically compute the linear as well as the higher order recall capabilities. A possible physical realization could be a laser with external cavity, for which the information is fed via electrical injection. A task-independent quantification of the computational capability of the reservoir system is done via a complete orthonormal set of basis functions. Our results suggest that even for constant readout dimension the total memory capacity is dependent on the ratio between the information input period, also called the clock cycle, and the time delay in the system. Optimal performance is found for a time delay about 1.6 times the clock cycle.


2020 ◽  
Vol 59 (23) ◽  
pp. 6932
Author(s):  
Qingqing Zeng ◽  
Zhengmao Wu ◽  
Dianzuo Yue ◽  
Xiangsheng Tan ◽  
Junyao Tao ◽  
...  

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