学術論文

基本情報

氏名 升森 敦士
氏名(カナ) マスモリ アツシ
氏名(英語) Atsushi Masumori
所属
職名 センター特任教授
researchmap研究者コード
researchmap機関

名称

Spiking Neural Networks Produce Informational Closure by Stimulus Avoidance

単著、共著の別

共著

年月日

2023

発行所等

Biosystems

出版社

巻・号

開始ページ

終了ページ

査読の有無

概要

The concept of Learning by Stimulus Avoidance (LSA) has been proposed in recent literature, and the methods of avoiding stimuli: action, prediction, and separation appear to align well with the formation of Bertschinger’s informational closure. In this study, we provide experimental evidence demonstrating that spiking neural networks, which avoid stimuli, can indeed facilitate the emergence of informational closure. The established link between LSA and informational closure lays the foundation for further exploration of autopoietic relationships and the self-organization of closure within neural networks.