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Organization of a Latent Space structure in VAE/GAN trained by navigation data

Feb 03, 2021
Hiroki Kojima, Takashi Ikegami

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Neural Autopoiesis: Organizing Self-Boundary by Stimulus Avoidance in Biological and Artificial Neural Networks

Jan 27, 2020
Atsushi Masumori, Lana Sinapayen, Norihiro Maruyama, Takeshi Mita, Douglas Bakkum, Urs Frey, Hirokazu Takahashi, Takashi Ikegami

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Predictive Coding as Stimulus Avoidance in Spiking Neural Networks

Nov 21, 2019
Atsushi Masumori, Lana Sinapayen, Takashi Ikegami

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An Overview of Open-Ended Evolution: Editorial Introduction to the Open-Ended Evolution II Special Issue

Sep 10, 2019
Norman Packard, Mark A. Bedau, Alastair Channon, Takashi Ikegami, Steen Rasmussen, Kenneth O. Stanley, Tim Taylor

* Artificial Life, 25(2), pp. 93-103, 2019 
* This article is published in the Artificial Life journal ( and is copyright (c) 2019 Massachusetts Institute of Technology. It it posted on after the publication embargo period in accordance with MIT Press Journals' author posting guidelines (

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How to Make Swarms Open-Ended? Evolving Collective Intelligence Through a Constricted Exploration of Adjacent Possibles

Mar 19, 2019
Olaf Witkowski, Takashi Ikegami

* 40 pages, 7 figures 

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Learning by Stimulation Avoidance: A Principle to Control Spiking Neural Networks Dynamics

Sep 25, 2016
Lana Sinapayen, Atsushi Masumori, Takashi Ikegami

* 17 pages, 11 figures 

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Towards information based spatiotemporal patterns as a foundation for agent representation in dynamical systems

May 18, 2016
Martin Biehl, Takashi Ikegami, Daniel Polani

* Proceedings of the Artificial Life Conference 2016 
* 8 pages, 3 figures 

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Short-Term Memory Through Persistent Activity: Evolution of Self-Stopping and Self-Sustaining Activity in Spiking Neural Networks

Nov 25, 2014
Julien Hubert, Takashi Ikegami

* 28 pages 

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Neural coordination can be enhanced by occasional interruption of normal firing patterns: A self-optimizing spiking neural network model

Sep 01, 2014
Alexander Woodward, Tom Froese, Takashi Ikegami

* 22 pages, 6 figures; Neural Networks, in press 

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Motility at the origin of life: Its characterization and a model

Nov 11, 2013
Tom Froese, Nathaniel Virgo, Takashi Ikegami

* 29 pages, 5 figures, Artificial Life 

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