3 citations · 4 across the 5 of their papers we have counts for
5 papers
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…
Informational Embodiment: Computational role of information structure in codes and robots
Alexandre Pitti, Kohei Nakajima, Yasuo Kuniyoshi
The body morphology plays an important role in the way information is perceived and processed by an agent. We address an information theory (IT) account on how the precision of sen…
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…
Exploiting Chaotic Dynamics as Deep Neural Networks
Shuhong Liu, Nozomi Akashi, Qingyao Huang +2
Chaos presents complex dynamics arising from nonlinearity and a sensitivity to initial states. These characteristics suggest a depth of expressivity that underscores their potentia…
Virtual reservoir acceleration for CPU and GPU: Case study for coupled spin-torque oscillator reservoir
Thomas Geert de Jong, Nozomi Akashi, Tomohiro Taniguchi +2
We provide high-speed implementations for simulating reservoirs described by -coupled spin-torque oscillators. Here also corresponds to the number of reservoir nodes. We ben…