18 Result(s)
within
Chapter
**ya Sato
Artificial Intelligence
Computation by Abstract Devices
Image Processing and Computer Vision
Information Systems Applications (incl. Internet)
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Chapter and Conference Paper
Improved Chaotic Multidirectional Associative Memory
In this paper, we propose an Improved Chaotic Multidirectional Associative Memory (ICMAM). The proposed model is based on the Chaotic Multidirectional Associative Memory (CMAM) which can realize one-to-many as...
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Chapter and Conference Paper
Memory of Reading Literature in a Hippocampal Network Model Based on Theta Phase Coding
Using computer simulations, the authors have demonstrated that temporal compression based on theta phase coding in the hippocampus is essential for the encoding of episodic memory occurring on a behavioral tim...
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Chapter and Conference Paper
Simple Feature Quantities for Learning of Dynamic Binary Neural Networks
This paper presents simple feature quantities for learning of dynamic binary neural networks. The teacher signal is a binary periodic orbit corresponding to control signal of switching circuits. The feature qu...
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Chapter and Conference Paper
Encoding Dependency Pair Techniques and Control Strategies for Maximal Completion
This paper describes two advancements of SAT-based Knuth-Bendix completion as implemented in Maxcomp. (1) Termination techniques using the dependency pair framework are encoded as satisfiability problems, includi...
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Chapter and Conference Paper
Variable-Sized Kohonen Feature Map Probabilistic Associative Memory
In this paper, we propose a Variable-sized Kohonen Feature Map Probabilistic Associative Memory (VKFMPAM). The proposed model can realize the probabilistic association for the training set including one-to-man...
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Chapter and Conference Paper
A Soft-Bodied Snake-Like Robot That Can Move on Unstructured Terrain
Snakes utilize terrain irregularities and attain propulsion force by pushing their bodies against scaffolds. We have previously proposed a local reflexive mechanism of snake locomotion that exploits its body s...
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Chapter and Conference Paper
Intuitive Navigation of Snake-Like Robot with Autonomous Decentralized Control
So far, we have developed snake-like robots whose locomotion is achieved primarily by ADC (autonomous decentralized control), with only the direction of travel and velocity given by radio control signals [3]. ...
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Chapter and Conference Paper
Elastic Graph Matching on Gabor Feature Representation at Low Image Resolution
We progressively improve conventional elastic graph matching (EGM) algorithm. In the conventional EGM, each node of a model graph can difficultly detect its corresponding precise position for the most similar ...
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Chapter and Conference Paper
Singular Perturbation Approach with Matsuoka Oscillator and Synchronization Phenomena
We study the singular perturbation approach in a pair of Matsuoka nonlinear neural oscillators, which consist of membrane potential (v) and recovery (u) dynamics with a relaxation rate (P). This shows that the u-...
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Chapter and Conference Paper
Energy Dissipation Effect on a Quantum Neural Network
A quantum neural network based on the adiabatic quantum computation is one of candidates to overcome the difficulty for develo** a quantum computation algorithm. Furthermore, by applying energy dissipation t...
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Chapter and Conference Paper
Pattern-Based Reasoning System Using Self-incremental Neural Network for Propositional Logic
We propose an architecture for reasoning with pattern-based if-then rules that is effective for intelligent systems like robots solving varying tasks autonomously in a real environment. The proposed system can...
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Chapter and Conference Paper
Hierarchical Bayesian Inference of Brain Activity
Magnetoencephalography (MEG) can measure brain activity with millisecond-order temporal resolution, but its spatial resolution is poor, due to the ill-posed nature of the inverse problem, for estimating source...
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Chapter and Conference Paper
Reconstruction of Temporal Movement from Single-trial Non-invasive Brain Activity: A Hierarchical Bayesian Method
We tried to reconstruct temporal movement information (position, velocity and acceleration) from single-trial brain activity measured using non-invasive methods. While human subjects performed wrist movement i...
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Chapter and Conference Paper
Dynamic Link Matching between Feature Columns for Different Scale and Orientation
Object recognition in the presence of changing scale and orientation requires mechanisms to deal with the corresponding feature transformations. Using Gabor wavelets as example, we approach this problem in a c...
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Chapter and Conference Paper
Responses of Fluctuating Biological Systems
A linear relationship between responses of biological systems and their fluctuations is presented. The fluctuation is given by the variance of a given quantity, whereas the response is given as the average cha...
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Chapter and Conference Paper
A High-Throughput Method to Quantify the Structural Properties of Individual Cell-Sized Liposomes by Flow Cytometry
We describe a new high-throughput method to quantify the structural properties of individual cell-sized liposomes. We labeled an internal aqueous solution of liposomes with a green fluorescent protein (GFP) an...
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Chapter and Conference Paper
How Reward Can Induce Reverse Replay of Behavioral Sequences in the Hippocampus
In a recent experiment, Foster and Wilson [1] have observed reverse replay of behavioral sequences in rodents’ hippocampal place cells during non-running awake state in coincidence with sharp waves. In this pa...
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Chapter and Conference Paper
How Collective Intelligence Emerge in Complex Environment?
In this paper we analyze a simple adaptive model of competition called the Minority Game, which is used in analyzing competitive phenomena in markets. The Minority Game consists of many simple autonomous agent...
