Kazuyoshi Tsutsumi

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For the ring neural network to function as a generator of rhythmic oscillation, mechanisms are required by which rhythmic oscillation is generated and maintained and then its period controlled. This paper demonstrates by simulation that those mechanisms can be actualized by employing a synaptic modification algorithm and by applying inputs from the outside(More)
In consideration of the generation of bursts of nerve impulses (that is, rhythmic oscillation in impulse density) in the ring neural network, a synaptic modification algorithm is newly proposed. Rhythmic oscillation generally occurs in the regular ring network with feedback inhibition and in fact such signals can be observed in the real nervous system.(More)
This work contains a proposition of an artificial modular neural network (MNN) in which every module network exchanges input/output information with others simultaneously. It further studies the basic dynamical characteristics of this network through both computer simulations and analytical considerations. A notable feature of this model is that it has(More)
The goal of this paper is to develop a robot control system using a microcomputer for an underwater robot with a buoyancy control system based on the spermaceti oil hypothesis. Sperm whales have a spermaceti organ in their head that is filled with spermaceti oil. It is said that sperm whales control their buoyancy by melting or coagulating spermaceti oil.(More)
This paper presents a continuous-time model of Autoassociative Neural Memories (ANMs) which correspond to a modified version of pseudoinverse-type ANMs. This ANM model is derived from minimizing the energy function for a modular neural network. Through the eigendecomposition of the connection matrix, we show that the dynamical properties of the ANM are(More)
This paper presents a novel approach for active tactile sensation that utilizes soft morphological deformation. This work is inspired by human finger’s wrinkles, which appear after a long time soaking in water, and has been indicated as an efficient mean for enhancement of gripping in wet environment. We created a tactile sensing system that is an(More)
The aim of our study is to have a hopping module control the height of hopping in an environment where the conhol parameters are unknown. This will lead to the development of a system for building dynamic walking robots. Assuming that a hopping module can be controlled by a spring and a DC moto,: we placed a built-in learning system in the module that(More)
In this paper, we propose an evolutionary approach to the design of optimal modular neural network architectures. In this approach, a modular neural network is treated as a phenotype of an individual, and the modular architecture is optimized through the evolution of its genetic representation (genotype) by using genetic algorithms. As one of the modular(More)