Study on time-length processing by neural networks

Shin'ichiro Kanoh, Ryoko Futami, Nozomu Hoshimiya

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

It is thought that 'time-length', which is one of the most important parameters for representing temporal patterns, is coded on some way in the brain. By two methods, we tried to estimate the principle of coding/memorizing time-length, focusing on 'the variation of the encoded time-length image on time'. One was auditory psychophysical experiment on time-length comparisons using the Constant Method. We found that the tendency of the interval of uncertainty, which indicates an amount of forgetting, depended both on first tone length and on interval of two tones. And the other was to evaluate the principle with which recurrent neural networks came to compare two time-length patterns after learning. In these simulations, it was estimated that the time-length information tended to be coded into the position on the trajectories toward the attractors in state space. It was also shown that this network revealed some characteristics of human memory decay when it was fluctuated by random noise.

本文言語English
ホスト出版物のタイトルProceedings of the International Joint Conference on Neural Networks
出版社Publ by IEEE
ページ151-154
ページ数4
ISBN(印刷版)0780314212, 9780780314214
出版ステータスPublished - 1993
外部発表はい
イベントProceedings of 1993 International Joint Conference on Neural Networks. Part 1 (of 3) - Nagoya, Jpn
継続期間: 1993 10月 251993 10月 29

出版物シリーズ

名前Proceedings of the International Joint Conference on Neural Networks
1

Other

OtherProceedings of 1993 International Joint Conference on Neural Networks. Part 1 (of 3)
CityNagoya, Jpn
Period93/10/2593/10/29

ASJC Scopus subject areas

  • ソフトウェア
  • 人工知能

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