Inverse Bayesian inference as a key of consciousness featuring a macroscopic quantum logical structure YP Gunji, S Shinohara, T Haruna, V Basios Biosystems 152, 44-65, 2017 | 52 | 2017 |
An infrared study of the Rh Y zeolite related to activity for ethylene hydroformylation N Takahashi, A Mijin, H Suematsu, S Shinohara, H Matsuoka Journal of Catalysis 117 (2), 348-354, 1989 | 42 | 1989 |
Cognitive symmetry: Illogical but rational biases T Takahashi, M Nakano, S Shinohara Symmetry: culture and science 21 (1-3), 275-294, 2010 | 38 | 2010 |
Emergence and collapse of money through reciprocity S Shinohara, YP Gunji Applied Mathematics and Computation 117 (2-3), 131-150, 2001 | 36 | 2001 |
A model of belief formation based on causality and application to n-armed bandit problem S Shinohara, R Taguchi, K Katsurada, T Nitta Transactions of the Japanese Society for Artificial Intelligence 22 (1), 58-68, 2007 | 35 | 2007 |
Decoding device for decoding a variety of code signals H Watanabe, H Mizosoe, Y Tsuboi, T Miyo, S Shinohara, M Oku US Patent 5,675,331, 1997 | 35 | 1997 |
A loosely symmetric model of cognition T Takahashi, K Oyo, S Shinohara Advances in Artificial Life. Darwin Meets von Neumann: 10th European …, 2011 | 31 | 2011 |
Effectiveness of a voice-based mental health evaluation system for mobile devices: prospective study M Higuchi, M Nakamura, S Shinohara, Y Omiya, T Takano, S Mitsuyoshi, ... JMIR formative research 4 (7), e16455, 2020 | 22 | 2020 |
Validity of mind monitoring system as a mental health indicator using voice N Hagiwara, Y Omiya, S Shinohara, M Nakamura, M Higuchi, ... Adv. Sci. Technol. Eng. Syst. J 2 (3), 338-344, 2017 | 21 | 2017 |
Forward transient behavior of PiN and super junction diodes Yamazaki, Kobayashi, Shinohara 2004 Proceedings of the 16th International Symposium on Power Semiconductor …, 2004 | 17 | 2004 |
Development of an automatic turntable-type multiple T-maze device and observation of pill bug behavior T Shokaku, T Moriyama, H Murakami, S Shinohara, N Manome, ... Review of Scientific Instruments 91 (10), 2020 | 16 | 2020 |
Depressive mood assessment method based on emotion level derived from voice: comparison of voice features of individuals with major depressive disorders and healthy controls S Shinohara, M Nakamura, Y Omiya, M Higuchi, N Hagiwara, ... International journal of environmental research and public health 18 (10), 5435, 2021 | 15 | 2021 |
Lévy walk in swarm models based on Bayesian and inverse Bayesian inference YP Gunji, T Kawai, H Murakami, T Tomaru, M Minoura, S Shinohara Computational and Structural Biotechnology Journal 19, 247-260, 2021 | 15 | 2021 |
Classification of bipolar disorder, major depressive disorder, and healthy state using voice M Higuchi, S Tokuno, M Nakamura, S Shinohara, S Mitsuyoshi, Y Omiya, ... Asian J Pharm Clin Res 11 (15), 89, 2018 | 15 | 2018 |
Connecting the free energy principle with quantum cognition YP Gunji, S Shinohara, V Basios Frontiers in neurorobotics 16, 910161, 2022 | 12 | 2022 |
Self-incremental learning vector quantization with human cognitive biases N Manome, S Shinohara, T Takahashi, Y Chen, U Chung Scientific Reports 11 (1), 3910, 2021 | 12 | 2021 |
Validity of a voice-based evaluation method for effectiveness of behavioural therapy S Shinohara, S Mitsuyoshi, M Nakamura, Y Omiya, G Tsumatori, ... Pervasive Computing Paradigms for Mental Health: 5th International …, 2016 | 12 | 2016 |
Mental status assessment of disaster relief personnel by vocal affect display based on voice emotion recognition S Mitsuyoshi, M Nakamura, Y Omiya, S Shinohara, N Hagiwara, S Tokuno Disaster and military medicine 3, 1-9, 2017 | 11 | 2017 |
Multilingual evaluation of voice disability index using pitch rate S Shinohara, Y Omiya, M Nakamura, N Hagiwara, M Higuchi, ... Adv. Sci. Technol. Eng. Syst. J 2 (3), 765-772, 2017 | 10 | 2017 |
A new method of Bayesian causal inference in non-stationary environments S Shinohara, N Manome, K Suzuki, U Chung, T Takahashi, H Okamoto, ... PloS one 15 (5), e0233559, 2020 | 9 | 2020 |