The generation of cognitive maps can be performed using VAEGAN (variational autoencoder + generative adversarial network) or a deep neural network with a recurrent loop. This research shows how the cognitive map is self-organized. This project is to understand what it means to spatialize time in the cognitive system. This is a DNN reconstruction of the previous studies of modeling "the others" using a recurrent neural network.

Hiroki Kojima and Takashi Ikegami. "Organization of a Latent Space structure in VAE/GAN trained by navigation data." arXiv preprint arXiv:2102.01852 (2021).
https://arxiv.org/abs/2102.01852

Takashi Ikegami, Gentaro Morimoto Chaotic Itinerancy in Coupled Dynamical Recognizers. CHAOS 13:1133-1147, 2003

Takashi Ikegami and Makoto Taiji: Imitation and Cooperation in Coupled Dynamical Recognizers. Advances in Artificial Life. eds. Floreano,D. et al., Springer-Verlag, 545-554, 1999.

Makoto Taiji and Takashi Ikegami: Dynamics of internal models in game players Physica D, 134:253-266. 1999