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A soft body as a reservoir: case studies in a dynamic model of octopus-inspired soft robotic arm
- K. Nakajima, H. Hauser, Rongjie Kang, E. Guglielmino, D. Caldwell, R. Pfeifer
- Computer ScienceFront. Comput. Neurosci.
- 9 July 2013
It is demonstrated that the structure of the octopus arm cannot only be exploited for generating behavior but also, in a sense, as a computational resource and how the arm's dynamics can be exploited to approximate non-linear dynamical systems and embed non- linear limit cycles.
Boosting Computational Power through Spatial Multiplexing in Quantum Reservoir Computing
- K. Nakajima, K. Fujii, M. Negoro, K. Mitarai, M. Kitagawa
- Computer SciencePhysical Review Applied
- 12 March 2018
This paper introduces a scheme, which is called a spatial multiplexing technique, to effectively boost the computational power of the platform, which exploits disjoint dynamics, which originate from multiple different quantum systems driven by common input streams in parallel.
A congestion control scheme for layer 3 wireless mesh networks
- K. Nakajima, K. Mase, H. Okada
- Computer Science15th Asia-Pacific Conference on Communications
- 8 October 2009
It is shown that the proposed congestion control scheme for layer 3 WMN backbone is effective to reduce average queue length of the bottle-neck MN and to improve the total throughput significantly.
Physical reservoir computing based on spin torque oscillator with forced synchronization
We investigated physical reservoir computing (RC) using a vortex-type spin torque oscillator (STO) as a resource of nonlinear dynamics, which is essential for processing information in time-series…
Spine dynamics as a computational resource in spine-driven quadruped locomotion
- Qian Zhao, K. Nakajima, H. Sumioka, H. Hauser, R. Pfeifer
- EngineeringIEEE/RSJ International Conference on Intelligent…
- 1 November 2013
This study implements and exploits a spine-driven quadruped robot called Kitty by using its flexible spine as a computational resource and demonstrates the robustness of the setup by applying strong external perturbations in form of additional loads.
Bootstrapping Perception using Information Theory: Case Studies in a quadruped Robot Running on Different grounds
It is shown how the analysis of directed information flows in an agent's sensorimotor networks can be used to bootstrap its perception and development.
Universal Approximation Property of Quantum Feature Map
It is proved that the quantum feature map is a universal approximator of continuous functions under its typical settings in many practical applications and can be used to design a quantum machine learning model with more powerful expressivity.
Morphological Computation: The Body as a Computational Resource
A number of remarkable implications are discussed when real physical bodies are employed as computational resources when the physical body as a Computational Resource is considered.
Self-organized perturbations enhance class IV behavior and 1/f power spectrum in elementary cellular automata
Universal Approximation Property of Quantum Machine Learning Models in Quantum-Enhanced Feature Spaces.
This work proves that the machine learning models induced from the quantum-enhanced feature space are universal approximators of continuous functions under typical quantum feature maps, and enables an important theoretical analysis to ensure that machine learning algorithms based on quantum feature Maps can handle a broad class of machine learning tasks.