Work

Higher-order interactions, adaptivity, and phase transitions in a novel reservoir computing model

Year: 2025

Type: article

Source: Chaos An Interdisciplinary Journal of Nonlinear Science

DOI: 10.1063/5.0278312

Authors: Anastasiia A. Emelianova, Oleg V. Maslennikov, Vladimir I. Nekorkin

Institutions: Russian Academy of Sciences, Institute of Applied Physics, N. I. Lobachevsky State University of Nizhny Novgorod

Language: English

Topic: Neural Networks and Reservoir Computing

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Russian Science Foundation

Award: G4879995656

OpenAlex ID: W4414852399

FWCI: 2.062

Cites: 31

Cited by: 5

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