177 related articles for article (PubMed ID: 35706182)
1. Machine-learning potential of a single pendulum.
Mandal S; Sinha S; Shrimali MD
Phys Rev E; 2022 May; 105(5-1):054203. PubMed ID: 35706182
[TBL] [Abstract][Full Text] [Related]
2. Reservoir Computing Beyond Memory-Nonlinearity Trade-off.
Inubushi M; Yoshimura K
Sci Rep; 2017 Aug; 7(1):10199. PubMed ID: 28860513
[TBL] [Abstract][Full Text] [Related]
3. Recent advances in physical reservoir computing: A review.
Tanaka G; Yamane T; Héroux JB; Nakane R; Kanazawa N; Takeda S; Numata H; Nakano D; Hirose A
Neural Netw; 2019 Jul; 115():100-123. PubMed ID: 30981085
[TBL] [Abstract][Full Text] [Related]
4. Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental Evaluation.
Vettelschoss B; Rohm A; Soriano MC
IEEE Trans Neural Netw Learn Syst; 2022 Jun; 33(6):2714-2725. PubMed ID: 34662281
[TBL] [Abstract][Full Text] [Related]
5. Neuromorphic computation with a single magnetic domain wall.
Ababei RV; Ellis MOA; Vidamour IT; Devadasan DS; Allwood DA; Vasilaki E; Hayward TJ
Sci Rep; 2021 Aug; 11(1):15587. PubMed ID: 34341380
[TBL] [Abstract][Full Text] [Related]
6. Reservoir Computing with Delayed Input for Fast and Easy Optimisation.
Jaurigue L; Robertson E; Wolters J; Lüdge K
Entropy (Basel); 2021 Nov; 23(12):. PubMed ID: 34945866
[TBL] [Abstract][Full Text] [Related]
7. Learning Hamiltonian dynamics with reservoir computing.
Zhang H; Fan H; Wang L; Wang X
Phys Rev E; 2021 Aug; 104(2-1):024205. PubMed ID: 34525517
[TBL] [Abstract][Full Text] [Related]
8. Configured quantum reservoir computing for multi-task machine learning.
Xia W; Zou J; Qiu X; Chen F; Zhu B; Li C; Deng DL; Li X
Sci Bull (Beijing); 2023 Oct; 68(20):2321-2329. PubMed ID: 37679257
[TBL] [Abstract][Full Text] [Related]
9. Minimal approach to neuro-inspired information processing.
Soriano MC; Brunner D; Escalona-Morán M; Mirasso CR; Fischer I
Front Comput Neurosci; 2015; 9():68. PubMed ID: 26082714
[TBL] [Abstract][Full Text] [Related]
10. Reservoir computing with higher-order interactive coupled pendulums.
Li X; Small M; Lei Y
Phys Rev E; 2023 Dec; 108(6-1):064304. PubMed ID: 38243442
[TBL] [Abstract][Full Text] [Related]
11. Persistent Memory in Single Node Delay-Coupled Reservoir Computing.
Kovac AD; Koall M; Pipa G; Toutounji H
PLoS One; 2016; 11(10):e0165170. PubMed ID: 27783690
[TBL] [Abstract][Full Text] [Related]
12. A substrate-independent framework to characterize reservoir computers.
Dale M; Miller JF; Stepney S; Trefzer MA
Proc Math Phys Eng Sci; 2019 Jun; 475(2226):20180723. PubMed ID: 31293353
[TBL] [Abstract][Full Text] [Related]
13. Existence of reservoir with finite-dimensional output for universal reservoir computing.
Sugiura S; Ariizumi R; Asai T; Azuma SI
Sci Rep; 2024 Apr; 14(1):8448. PubMed ID: 38600157
[TBL] [Abstract][Full Text] [Related]
14. High-Performance Reservoir Computing With Fluctuations in Linear Networks.
Nokkala J; Martinez-Pena R; Zambrini R; Soriano MC
IEEE Trans Neural Netw Learn Syst; 2022 Jun; 33(6):2664-2675. PubMed ID: 34460401
[TBL] [Abstract][Full Text] [Related]
15. Emerging opportunities and challenges for the future of reservoir computing.
Yan M; Huang C; Bienstman P; Tino P; Lin W; Sun J
Nat Commun; 2024 Mar; 15(1):2056. PubMed ID: 38448438
[TBL] [Abstract][Full Text] [Related]
16. Novel nondelay-based reservoir computing with a single micromechanical nonlinear resonator for high-efficiency information processing.
Sun J; Yang W; Zheng T; Xiong X; Liu Y; Wang Z; Li Z; Zou X
Microsyst Nanoeng; 2021; 7():83. PubMed ID: 34691758
[TBL] [Abstract][Full Text] [Related]
17. Reservoir computing using dynamic memristors for temporal information processing.
Du C; Cai F; Zidan MA; Ma W; Lee SH; Lu WD
Nat Commun; 2017 Dec; 8(1):2204. PubMed ID: 29259188
[TBL] [Abstract][Full Text] [Related]
18. Next generation reservoir computing.
Gauthier DJ; Bollt E; Griffith A; Barbosa WAS
Nat Commun; 2021 Sep; 12(1):5564. PubMed ID: 34548491
[TBL] [Abstract][Full Text] [Related]
19. Exploiting oscillatory dynamics of delay systems for reservoir computing.
Goldmann M; Fischer I; Mirasso CR; C Soriano M
Chaos; 2023 Sep; 33(9):. PubMed ID: 37748487
[TBL] [Abstract][Full Text] [Related]
20. A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality.
Pontes-Filho S; Lind P; Yazidi A; Zhang J; Hammer H; Mello GBM; Sandvig I; Tufte G; Nichele S
Cogn Neurodyn; 2020 Oct; 14(5):657-674. PubMed ID: 33014179
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
