International Conferences

Peer-Reviewed International Conferences (Full Paper)

Jihoon Park, Yuji Kawai, and Minoru Asada, Frequency speciﬁc eﬀects of oscillatory inputs on timing and chaotic time-series learning in spiking reservoir computing, In Proceedings of the 32nd International Conference on Neural Information Processing, Nov. 2025.
Yuji Kawai, Shinya Fujii, and Minoru Asada, Slow feature oscillation enhances reservoir computing for learning long-period patterns, In Proceedings of the 2025 International Joint Conference on Neural Networks, Jul. 2025.
Minoru Asada and Yuji Kawai, Advancing cognitive developmental robotics: Robot pain as a bridge from embodiment to social interaction -A framework for ethical and societal integration-, in Proceedings of of The 2025 International Conference on the AI Revolution: Research, Ethics, and Society, pp. 1-18, Apr. 2025.
Yuji Kawai, Takashi Morita, Jihoon Park, and Minoru Asada, Oscillation-driven reservoir computing for long-term replication of chaotic time series, Artificial Neural Networks and Machine Learning – ICANN 2024 Part X, pp. 129-141, Sep. 2024.
Yuji Kawai, Hiroshi Atsuta, and Minoru Asada, Adaptive robot control using modular reservoir computing to minimize multimodal errors, In Proceedings of the 2024 International Joint Conference on Neural Networks, July, 2024.
Hiroshi Atsuta, Yuji Kawai, and Minoru Asada, Enhancement of the robustness of redundant robot arms against perturbations by inferring dynamical systems using echo state networks, In Proceedings of the 2024 International Joint Conference on Neural Networks, July, 2024.
Yuji Kawai, Jihoon Park, Ichiro Tsuda, and Minoru Asada, Self-organization of a dynamical orthogonal basis acquiring large memory capacity in modular reservoir computing, In Artificial Neural Networks and Machine Learning – ICANN 2022, pp. 635-646, Sep. 2022.
Tomohito Miyake, Yuji Kawai, Jihoon Park, Jiro Shimaya, Hideyuki Takahashi, and Minoru Asada, Mind perception and causal attribution for failure in a game with a robot, In Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, TuCT1.2, Oct. 2019.
Yuji Kawai, Tatsuhiko Inatani, Takako Yoshida, and Kazuya Matsuura, Exploring future rules for AIs with citizens using a fictitious case video: A workshop report, In Proceedings of the International Workshop on Envision of Acceptable Human Agent Interaction based on Science Fiction at HAI 2019, Oct. 2019.
Kazuki Tachikawa, Yuji Kawai, Jihoon Park, and Minoru Asada, Effectively interpreting electroencephalogram classification using the Shapley sampling value to prune a feature tree, In Proceedings of the 27th International Conference on Artificial Neural Networks, pp. 672-681, Oct. 2018.
Yuji Kawai, Tomohiro Takimoto, Jihoon Park, and Minoru Asada, Efficient reward-based learning through body representation in a spiking neural network, In Proceedings of the 8th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, pp. 198-203, Sep. 2018. (Babybot Challenge Paper Award)
Yuji Kawai, Tatsuya Tokuno, Jihoon Park, and Minoru Asada, Echo in a small-world reservoir: time-series prediction using an economical recurrent neural network, In Proceedings of the 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, pp. 126-131, Sep. 2017.
Tomohiro Takimoto, Yuji Kawai, Jihoon Park, and Minoru Asada, Self-organization based on auditory feedback promotes acquisition of babbling, In Proceedings of the 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, pp. 120-125, Sep. 2017. (Babybot Challenge Participation Award)
Koki Ichinose, Jihoon Park, Yuji Kawai, Junichi Suzuki, Minoru Asada, and Hiroki Mori, Local over-connectivity reduces the complexity of neural activity: toward a constructive understanding of brain networks in patients with autism spectrum disorder, In Proceedings of the 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, pp. 233-238, Sep. 2017.
Yuji Kawai, Minoru Asada, and Yukie Nagai, A model for biological motion detection based on motor prediction in the dorsal premotor area, In Proceedings of the 4th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, pp. 241-247, Oct. 2014.
Yuji Kawai, Yuji Oshima, Yuki Sasamoto, Yukie Nagai, and Minoru Asada, Computational model for syntactic development: Identifying how children learn to generalize nouns and verbs for different languages, In Proceedings of the 4th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, pp. 78-84, Oct. 2014.
Yuji Kawai, Yukie Nagai, and Minoru Asada, Perceptual development triggered by its self-organization in cognitive learning, In Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 5159-5164, Oct. 2012.
Yuji Kawai, Jihoon Park, Takato Horii, Kazuaki Tanaka, Hiroki Mori, Yukie Nagai, Takashi Takuma, and Minoru Asada, Throwing skill optimization through synchronization and desynchronization of degree of freedom, In Proceedings of the 16th Annual RoboCup International Symposium, Jun. 2012. (Best Paper Award Finalist, Research Award of the RoboCup Japan Open)
Yukie Nagai, Yuji Kawai, and Minoru Asada, Emergence of mirror neuron system: Immature vision leads to self-other correspondence, In Proceedings of the 1st Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, Aug. 2011. (Microsoft Student Travel Award)

Peer-Reviewed International Conferences (Short Paper / Abstract)

Jihoon Park, Yuji Kawai, and Minoru Asada, Self-organization of connectivity in spiking neural networks with balanced excitation and inhibition, In the 29th Annual Computational Neuroscience Meeting, Jul. 2020.
Hiromitsu Suganuma, Yuji Kawai, Jihoon Park and Minoru Asada, Maximization of transfer entropy leads to evolution of functional differentiation of swarms, In Proceedings of the 2019 Conference on Artificial Life, pp. 414-415, Jul.-Aug. 2019.
Kentaro Suzuki, Jihoon Park, Yuji Kawai, and Minoru Asada, Small-world networks enhance the inter-brain synchronization, In the 28th Annual Computational Neuroscience Meeting, Jul. 2019.
Kazuki Tachikawa, Yuji Kawai, Jihoon Park, and Minoru Asada, Compensated integrated gradients to reliably interpret EEG classification, In Proceedings of Machine Learning for Health Workshop at NeurIPS 2018, Dec. 2018. (Travel Award)
Tomohiro Miki, Yuji Kawai, Jihoon Park, and Minoru asada, Intrinsically bursting neurons enlarge timescales of fluctuations in firing rates, In the 27th Annual Computational Neuroscience Meeting, Jul. 2018.
Motohiro Ogura, Jihoon Park, Yuji Kawai, and Minoru Asada, An excitation / inhibition ratio impacts on organization of neural connectivity and information transfer, In Proceedings of the 27th Annual Computational Neuroscience Meeting, Jul. 2018.
Ichiro Tsuda, Minoru Asada, Yuji Kawai, Mitsuru Kikuchi, Ikki Matsuda, and Tatsuya Kameda, An exploration of the principle of emerging interactions in spatiotemporal diversity, In Proceedings of the IUI Workshop on Symbiotic Interaction and Harmonious Collaboration for Wisdom Computing, Mar. 2018.
Koki Ichinose, Jihoon Park, Yuji Kawai, Junichi Suzuki, Hiroki Mori, and Minoru Asada, Why does neural activity in ASD have low complexity?: from a perspective of a small-world network model, In Proceedings of the 26th Annual Computational Neurosciences Meeting, Jul. 2017.
Jimmy Baraglia, Yukie Nagai, Yuji Kawai, and Minoru Asada, The role of temporal variance in motions for the emergence of mirror neuron systems, In Proceedings of the 2nd IEEE International Conference on Development and Learning and on Epigenetic Robotics, Nov. 2012.