674 related articles for article (PubMed ID: 30981085)
1. 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]
2. Recurrent kernel machines: computing with infinite echo state networks.
Hermans M; Schrauwen B
Neural Comput; 2012 Jan; 24(1):104-33. PubMed ID: 21851278
[TBL] [Abstract][Full Text] [Related]
3. Transfer-RLS method and transfer-FORCE learning for simple and fast training of reservoir computing models.
Tamura H; Tanaka G
Neural Netw; 2021 Nov; 143():550-563. PubMed ID: 34304003
[TBL] [Abstract][Full Text] [Related]
4. A Unified Framework for Reservoir Computing and Extreme Learning Machines based on a Single Time-delayed Neuron.
Ortín S; Soriano MC; Pesquera L; Brunner D; San-Martín D; Fischer I; Mirasso CR; Gutiérrez JM
Sci Rep; 2015 Oct; 5():14945. PubMed ID: 26446303
[TBL] [Abstract][Full Text] [Related]
5. Spatiotemporal signal classification via principal components of reservoir states.
Prater A
Neural Netw; 2017 Jul; 91():66-75. PubMed ID: 28499191
[TBL] [Abstract][Full Text] [Related]
6. Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine.
Avesani P; Hazan H; Koilis E; Manevitz LM; Sona D
Neural Netw; 2015 Oct; 70():61-73. PubMed ID: 26218350
[TBL] [Abstract][Full Text] [Related]
7. Deep Liquid State Machines With Neural Plasticity for Video Activity Recognition.
Soures N; Kudithipudi D
Front Neurosci; 2019; 13():686. PubMed ID: 31333404
[TBL] [Abstract][Full Text] [Related]
8. An experimental unification of reservoir computing methods.
Verstraeten D; Schrauwen B; D'Haene M; Stroobandt D
Neural Netw; 2007 Apr; 20(3):391-403. PubMed ID: 17517492
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. High-Density Liquid-State Machine Circuitry for Time-Series Forecasting.
Rosselló JL; Alomar ML; Morro A; Oliver A; Canals V
Int J Neural Syst; 2016 Aug; 26(5):1550036. PubMed ID: 26906454
[TBL] [Abstract][Full Text] [Related]
11. Echo state networks are universal.
Grigoryeva L; Ortega JP
Neural Netw; 2018 Dec; 108():495-508. PubMed ID: 30317134
[TBL] [Abstract][Full Text] [Related]
12. Liquid state machine with dendritically enhanced readout for low-power, neuromorphic VLSI implementations.
Roy S; Banerjee A; Basu A
IEEE Trans Biomed Circuits Syst; 2014 Oct; 8(5):681-95. PubMed ID: 25361513
[TBL] [Abstract][Full Text] [Related]
13. Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics.
Vlachas PR; Pathak J; Hunt BR; Sapsis TP; Girvan M; Ott E; Koumoutsakos P
Neural Netw; 2020 Jun; 126():191-217. PubMed ID: 32248008
[TBL] [Abstract][Full Text] [Related]
14. Evaluation of the computational capabilities of a memristive random network (MN
Suarez LE; Kendall JD; Nino JC
Neural Netw; 2018 Oct; 106():223-236. PubMed ID: 30077960
[TBL] [Abstract][Full Text] [Related]
15. Liquid State Machine on SpiNNaker for Spatio-Temporal Classification Tasks.
Patiño-Saucedo A; Rostro-González H; Serrano-Gotarredona T; Linares-Barranco B
Front Neurosci; 2022; 16():819063. PubMed ID: 35360182
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Learning to decode human emotions with Echo State Networks.
Bozhkov L; Koprinkova-Hristova P; Georgieva P
Neural Netw; 2016 Jun; 78():112-9. PubMed ID: 26422421
[TBL] [Abstract][Full Text] [Related]
18. Real-time computing without stable states: a new framework for neural computation based on perturbations.
Maass W; Natschläger T; Markram H
Neural Comput; 2002 Nov; 14(11):2531-60. PubMed ID: 12433288
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Delay-based reservoir computing: noise effects in a combined analog and digital implementation.
Soriano MC; Ortín S; Keuninckx L; Appeltant L; Danckaert J; Pesquera L; van der Sande G
IEEE Trans Neural Netw Learn Syst; 2015 Feb; 26(2):388-93. PubMed ID: 25608295
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]