Dynamics of reservoir computing at the edge of stability

9Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We investigate reservoir computing systems whose dynamics are at critical bifurcation points based on center manifold theorem. We take echo state networks as an example and show that the center manifold defines mapping of the input dynamics to higher dimensional space. We also show that the mapping by center manifolds can contribute to recognition of attractors of input dynamics. The implications for realization of reservoir computing as real physical systems are also discussed.

Cite

CITATION STYLE

APA

Yamane, T., Takeda, S., Nakano, D., Tanaka, G., Nakane, R., Nakagawa, S., & Hirose, A. (2016). Dynamics of reservoir computing at the edge of stability. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9947 LNCS, pp. 205–212). Springer Verlag. https://doi.org/10.1007/978-3-319-46687-3_22

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free