| A strategy for origins of life research C Scharf, N Virgo, HJ Cleaves, M Aono, N Aubert-Kato, A Aydinoglu, ... Astrobiology 15 (12), 1031-1042, 2015 | 74 | 2015 |
| Swarm of micro-quadrocopters for consensus-based sound source localization L Sinapayen, K Nakamura, K Nakadai, H Takahashi, T Kinoshita Advanced Robotics 31 (12), 624-633, 2017 | 35 | 2017 |
| Learning by stimulation avoidance: A principle to control spiking neural networks dynamics L Sinapayen, A Masumori, T Ikegami PloS one 12 (2), e0170388, 2017 | 33 | 2017 |
| Assessing planetary complexity and potential agnostic biosignatures using epsilon machines S Bartlett, J Li, L Gu, L Sinapayen, S Fan, V Natraj, JH Jiang, D Crisp, ... Nature Astronomy 6 (3), 387-392, 2022 | 19 | 2022 |
| Emergence of sense-making behavior by the stimulus avoidance principle: Experiments on a robot behavior controlled by cultured neuronal cells A Masumori, N Maruyama, L Sinapayen, T Mita, U Frey, D Bakkum, ... Artificial Life Conference Proceedings, 373-380, 2015 | 14 | 2015 |
| Neural autopoiesis: Organizing self-boundaries by stimulus avoidance in biological and artificial neural networks A Masumori, L Sinapayen, N Maruyama, T Mita, D Bakkum, U Frey, ... Artificial Life 26 (1), 130-151, 2020 | 13 | 2020 |
| Hybrid Life: Integrating biological, artificial, and cognitive systems M Baltieri, H Iizuka, O Witkowski, L Sinapayen, K Suzuki Wiley Interdisciplinary Reviews: Cognitive Science 14 (6), e1662, 2023 | 8 | 2023 |
| Consensus-based sound source localization using a swarm of micro-quadrocopters S Lana, K Takahashi, T Kinoshita Proc. Robot. Soc. Japan, Tokyo, Japan, 1-4, 2015 | 8 | 2015 |
| Reactive, proactive, and inductive agents: an evolutionary path for biological and artificial spiking networks L Sinapayen, A Masumori, T Ikegami Frontiers in computational neuroscience 13, 88, 2020 | 7 | 2020 |
| Self-replication, spontaneous mutations, and exponential genetic drift in neural cellular automata L Sinapayen ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life …, 2023 | 6 | 2023 |
| Predictive coding as stimulus avoidance in spiking neural networks A Masumori, T Ikegami, L Sinapayen 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 271-277, 2019 | 6 | 2019 |
| Autonomous regulation of self and non-self by stimulation avoidance in embodied neural networks A Masumori, L Sinapayen, N Maruyama, T Mita, D Bakkum, U Frey, ... Artificial Life Conference Proceedings, 163-170, 2018 | 6 | 2018 |
| Learning by stimulation avoidance scales to large neural networks A Masumori, L Sinapayen, T Ikegami Artificial Life Conference Proceedings, 275-282, 2017 | 6 | 2017 |
| Sound processing device, sound processing method, and sound processing program K Nakadai, K Nakamura, L Sinapayen, M Imai US Patent 9,664,772, 2017 | 6 | 2017 |
| Interactive sound source localization using robot audition for tablet devices K Nakamura, L Sinapayen, K Nakadai 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 6 | 2015 |
| Learning by Stimulation Avoidance as a primary principle of spiking neural networks dynamics L Sinapayen, A Masumori, N Virgo, T Ikegami Artificial Life Conference Proceedings, 175-182, 2015 | 6 | 2015 |
| Evolutionary Generation of Visual Motion Illusions L Sinapayen, E Watanabe THE JOINT SYMPOSIUM OF THE TWENTY-SEVENTH INTERNATIONAL SYMPOSIUM ON …, 2022 | 5 | 2022 |
| Online fitting of computational cost to environmental complexity: Predictive coding with the ε-network L Sinapayen, T Ikegami Artificial Life Conference Proceedings, 380-387, 2017 | 4 | 2017 |
| eLife’s new model and its impact on science communication L Urban, M De Niz, F Fernández-Chiappe, H Ebrahimi, LKM Han, ... Elife 11, e84816, 2022 | 3 | 2022 |
| Perspective: Purposeful failure in artificial life and artificial intelligence L Sinapayen arXiv preprint arXiv:2102.12076, 2021 | 2 | 2021 |
takashi ikegamiThe graduate school of Arts and Sciences, University of Tokyo在 sacral.c.u-tokyo.ac.jp 的电子邮件经过验证
