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Cited by in F6Publishing
For: Follmann R, Rosa E. Predicting slow and fast neuronal dynamics with machine learning. Chaos 2019;29:113119. [DOI: 10.1063/1.5119723] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
Number Citing Articles
1 Zhong X, Wang S. Learning Coupled Oscillators System with Reservoir Computing. Symmetry 2022;14:1084. [DOI: 10.3390/sym14061084] [Reference Citation Analysis]
2 Zhang H, Fan H, Wang L, Wang X. Learning Hamiltonian dynamics with reservoir computing. Phys Rev E 2021;104:024205. [PMID: 34525517 DOI: 10.1103/PhysRevE.104.024205] [Cited by in F6Publishing: 5] [Reference Citation Analysis]
3 Hassoun S, Jefferson F, Shi X, Stucky B, Wang J, Rosa E. Artificial Intelligence for Biology. Integr Comp Biol 2021:icab188. [PMID: 34448841 DOI: 10.1093/icb/icab188] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
4 Patel D, Canaday D, Girvan M, Pomerance A, Ott E. Using machine learning to predict statistical properties of non-stationary dynamical processes: System climate,regime transitions, and the effect of stochasticity. Chaos 2021;31:033149. [PMID: 33810745 DOI: 10.1063/5.0042598] [Cited by in Crossref: 4] [Cited by in F6Publishing: 10] [Article Influence: 4.0] [Reference Citation Analysis]
5 Tang Y, Kurths J, Lin W, Ott E, Kocarev L. Introduction to Focus Issue: When machine learning meets complex systems: Networks, chaos, and nonlinear dynamics. Chaos 2020;30:063151. [PMID: 32611112 DOI: 10.1063/5.0016505] [Cited by in Crossref: 9] [Cited by in F6Publishing: 18] [Article Influence: 4.5] [Reference Citation Analysis]