2 papers
nlin.CD2025
Attractor-merging Crises and Intermittency in Reservoir Computing
Tempei Kabayama, Motomasa Komuro, Yasuo Kuniyoshi +2
Reservoir computing can embed attractors into random neural networks (RNNs), generating a ``mirror'' of a target attractor because of its inherent symmetrical constraints. In these…
cs.RO2024
A Jellyfish Cyborg: Exploiting Natural Embodied Intelligence as Soft Robots
Dai Owaki, Max Austin, Shuhei Ikeda +2
Jellyfish cyborgs present a promising avenue for soft robotic systems, leveraging the natural energy-efficiency and adaptability of biological systems. Here we demonstrate a novel…