Kentaro Fujii, Takuya Isomura, and Shingo Murata, “Deep Active Inference with Reconstructive and Contrastive Learning,” The 5th International Workshop on Active Inference (IWAI 2024), Poster Presentation, Oxford, UK, September 2024.

Ryusei Murata, Yuta Takahashi, Yuichi Yamashita, and Shingo Murata, “Hypernetwork-Based Integrative Behavioral Modeling: Extracting Latent States from fMRI and Decision-Making Task Data,” Poster Presentation, Computational Psychiatry Conference, Minnesota, USA, July 2024.

Kentaro Fujii, Takuya Isomura, and Shingo Murata, “Real-World Robot Control Based on Contrastive Active Inference with Learning from Demonstration,” The 4th International Workshop on Active Inference (IWAI 2023), Poster Presentation, Ghent, Belgium, September 2023.

Kentaro Fujii and Shingo Murata, “Multiple Timescale Recurrent State-Space Model for Learning Long-Horizon Tasks,” International Symposium on Predictive Brain and Cognitive Feelings, Poster Presentation, Tokyo, Japan, July 2023.

Kaito Kusumoto and Shingo Murata, “A Deep Generative Model for Extracting Shared and Private Latent Representations from Multimodal Data,” International Symposium on Predictive Brain and Cognitive Feelings, Poster Presentation, Tokyo, Japan, July 2023.

Yukiko Orui and Shingo Murata, “Action Modification Based on Real-time Amortized Inference of Others’ Intentions Using Backward RNN,” The 54th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS '22), Oral Presentation (Online) , Nara, Japan, October 2022.

Shingo Murata, Kai Hirano, Naoto Higashi, Shin-ichiro Kumagaya, Yuichi Yamashita, and Tetsuya Ogata, “Analysis of Imitative Interactions between Typically Developed or Autistic Participants and a Robot with a Recurrent Neural Network,” The Ninth Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob 2019), Poster Presentation, Oslo, Norway, August 2019.

Hayato Idei, Shingo Murata, Yuichi Yamashita, and Tetsuya Ogata, “Altered Sense of Self Induced by Functional Disconnection in a Hierarchical Neural Network: A Neuro-Robotics Study,” International Consortium on Hallucination Research and Related Symptoms Kyoto Satellite Meeting (ICHR 2018 KYOTO), Poster Presentation, Kyoto, Japan, October 2018.

Tatsuro Yamada, Shingo Murata, Hiroaki Arie, and Tetsuya Ogata, “Representation Learning of Logical Words via Seq2seq Learning from Linguistic Instructions to Robot Actions,” Workshop on Representation Learning for Human and Robot Cognition, The 5th International Conference on Human–Agent Interaction (HAI 2017), Oral Presentation, Bielefeld, Germany, October 2017.

Hayato Idei, Shingo Murata, Yuichi Yamashita, and Tetsuya Ogata, “Altered Behavioral Flexibility and Generalization Induced by Reduced Heterogeneity of Intrinsic Neuronal Excitability: A Neurorobotics Study,” WPA XVII World Congress of Psychiatry, Oral Presentation, Berlin, Germany, October 2017.

Tatsuro Yamada, Shingo Murata, Hiroaki Arie, and Tetsuya Ogata, “Logically Complex Symbol Grounding for Interactive Robots by Seq2seq Learning with an LSTM-RNN,” The Thirtieth Annual Conference on Neural Information Processing Systems (NIPS 2016), Demonstration (Acceptance Rate for Demonstration: 36.4%), Barcelona, Spain, December 2016.

Shingo Murata, Yuichi Yamashita, Hiroaki Arie, Tetsuya Ogata, Jun Tani, and Shigeki Sugano, “Neuro-Dynamical Accounts for Postdiction,” The 19th Annual Meeting of the Association for the Scientific Study of Consciousness (ASSC 19), Poster Presentation, Paris, France, July 2015.

Shingo Murata, Yuichi Yamashita, Hiroaki Arie, Tetsuya Ogata, Jun Tani, and Shigeki Sugano, “Self-Organization of Distinct Neural Mechanisms for Adaptive Behavior,” Neurobiologically Inspired Robotics Workshop: Incorporating Brain Processing into Robots Might for Better Autonomy, The 2014 IEEE International Conference on Robotics and Automation (ICRA 2014), Oral Presentation, Hong Kong, China, June 2014.

Shingo Murata, Yuichi Yamashita, Tetsuya Ogata, Hiroaki Arie, Jun Tani, and Shigeki Sugano, “Altered Prediction of Uncertainty Induced by Network Disequilibrium: A Neuro-Robotics Study,” Poster Presentation, Computational Psychiatry 2013, Miami, USA, October 2013.