Reservoir computing quality: connectivity and topology

DOI10.1007/S11047-020-09823-1zbMath1530.68112OpenAlexW3112468420MaRDI QIDQ6095487

Susan Stepney, Angelika Sebald, Matthew Dale, Simon O'Keefe, Martin A. Trefzer

Publication date: 8 September 2023

Published in: Natural Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11047-020-09823-1

zbMATH Keywords

topologyconnectivityunconventional computingreservoir computingdynamical behaviour

Mathematics Subject Classification ID

Other nonclassical models of computation (68Q09)

Cites Work

• Reservoir computing approaches to recurrent neural network training
• The neglected pillar of material computation
• The calculi of emergence: Computation, dynamics and induction
• Equilibrium statistical mechanics of lattice models
• The role of structure and complexity on reservoir computing quality
• Edge of chaos and prediction of computational performance for neural circuit models
• An experimental unification of reservoir computing methods
• Evolving Carbon Nanotube Reservoir Computers
• Emergence of Scaling in Random Networks
• Game of Life Cellular Automata
• A substrate-independent framework to characterize reservoir computers
• DNA Reservoir Computing: A Novel Molecular Computing Approach
• Collective dynamics of ‘small-world’ networks

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