Document Detail

Application of neural network to humanoid robots-development of co-associative memory model.
MedLine Citation:
PMID:  16109473     Owner:  NLM     Status:  MEDLINE    
We have been studying a system of many harmonic oscillators (neurons) interacting via a chaotic force since 2002. Each harmonic oscillator is driven by chaotic force whose bifurcation parameter is modulated by the position of the harmonic oscillator. Moreover, a system of mutually coupled chaotic neural networks was investigated. Different patterns were stored in each network and the associative memory problem was discussed in these networks. Each network can retrieve the pattern stored in the other network. On the other hand, we have been developing new mechanisms and functions for a humanoid robot with the ability to express emotions and communicate with humans in a human-like manner. We introduced a mental model which consisted of the mental space, the mood, the equations of emotion, the robot personality, the need model, the consciousness model and the behavior model. This type of mental model was implemented in Emotion Expression Humanoid Robot WE-4RII (Waseda Eye No.4 Refined II). In this paper, an associative memory model using mutually coupled chaotic neural networks is proposed for retrieving optimum memory (recognition) in response to a stimulus. We implemented this model in Emotion Expression Humanoid Robot WE-4RII (Waseda Eye No.4 Refined II).
Kazuko Itoh; Hiroyasu Miwa; Hideaki Takanobu; Atsuo Takanishi
Related Documents :
7749353 - Prospective assessment of an artificial neural network for the detection of peripheral ...
18681593 - Prediction of the acoustic form function by neural network techniques for immersed tubes.
23037023 - Strong correlations between incoherent vortices.
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Neural networks : the official journal of the International Neural Network Society     Volume:  18     ISSN:  0893-6080     ISO Abbreviation:  Neural Netw     Publication Date:    2005 Jun-Jul
Date Detail:
Created Date:  2005-09-05     Completed Date:  2005-11-09     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8805018     Medline TA:  Neural Netw     Country:  United States    
Other Details:
Languages:  eng     Pagination:  666-73     Citation Subset:  IM    
Department of Mechanical Engineering, Waseda University, #59-308, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Artificial Intelligence
Association Learning / physiology*
Memory / physiology*
Models, Neurological
Neural Networks (Computer)*
Nonlinear Dynamics

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Modelling ordinal relations with SVMs: An application to objective aesthetic evaluation of breast ca...
Next Document:  Identification of motifs with insertions and deletions in protein sequences using self-organizing ne...