Member introduction
Yasushi Naruse
(Lab head & CiNet PI)
Degree
Ph.D.
Research theme
Investigation of MEG/EEG waveform using signal processing and modeling methods.
Education
2002 B.E. Faculty of Engineering, The University of Tokyo
2004 M.S. Graduate School of Frontier Sciences, University of Tokyo
2007 Ph.D. Graduate School of Frontier Sciences, University of Tokyo
Employment
2007-2010 Expert Researcher, Biological ICT group, Kobe Advanced ICT Research Center, National Institute of Information and Communications Technology
2010-2011 Researcher, Biological ICT group, Kobe Advanced ICT Research Center, National Institute of Information and Communications Technology
2011 Researcher, Brain ICT Laboratory, Advanced ICT Research Institude, National Institute of Information and Communications Technology
2011-2013 Senior Researcher, Brain ICT Laboratory, Advanced ICT Research Institude, National Institute of Information and Communications Technology
2013-2017 Associate Director, Brain Imaging Technology Laboratory, Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology
2017- Director, Neural Information Engineering Laboratory, Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology
Prize history
2003 U35 Award, 18th Annual meeting of Japan Biomagnetism and Bioelectromagnetics Society
2007 Dean Prize (Doctor Course), Graduate School of Frontier Sciences The University of Tokyo
2007 Research Award, 22th Annual meeting of Japan Biomagnetism and Bioelectromagnetics Society
2010 Young Researcher Award, SICE BPES
2011 Young Researcher Award, IEEE Computational Intelligence Society Japan Chapter
2011 U35 Award, 26th Annual meeting of Japan Biomagnetism and Bioelectromagnetics Society
Publications
Research papers
- Legaspi, R., Xu, W., Konishi, T., Wada, S., Kobayashi, N., Naruse, Y., Ishikawa, Y. The sense of agency in human–AI interactions. Knowledge-Based Systems, 286, 111298(2024).
- Tsutsui, K., Ukita, S., Kondo, M., Toshima, G., Miyazaki, N., Nagashima, K., Ohmura, M., Tsuchihashi, S., Tsuji, Y., Katoh, M., Aida, N., Kobayashi, Y., Ohtsu, Y., Fujita, Y., Tanaka, S., Watanabe, H., Naruse, Y., Iizuka, S., Kato, H., Mashimo, Y., Senbonmatsu, T. Synergistic Effect of Motivation for the Elderly and Support for Going Out II: Measures to Induce Elderly Men to Go Out. Geriatrics, 9(1):21(2024).
- Ishikawa, Y., Kobayashi, N., Legaspi, R., Nakajima, K., Naruse, Y. Physiological Responses to Movies Predict Marital Satisfaction. IEEE Access. 11, 94918-94936(2023).
- Miyazawa, T., Kafle, V., Yokota, Y., Naruse, Y., Asaeda, H. Advanced data analytics using three-stage intelligent model pipelining for containerized microservices in 5G networks and beyond. ITU Journal on Future and Evolving Technologies, Volume 4 (2023), Issue 2, Pages 285-305(2023).
- Iwasaki, M., Yokota, Y., Naruse, Y. The Proteus effect in virtual space modulates early stage of neural processing. The Transactions of Human Interface Society 25:3 273-282(2023) [in Japanese].
- Saga, T., Watanabe, H., Naruse, Y., Recurrent Neural Network to Predict Saccade Offset Time Points from Electrooculogram Signals for Automatic Measurement of Eye-Fixation-Related Potential. Appl. Sci. 13, 6230 (2023).
- Mockevičius, A., Yokota, Y., Tarailis, P., Hasegawa, H., Naruse, Y, Griškova-Bulanova I. Extraction of Individual EEG Gamma Frequencies from the Responses to Click-Based Chirp-Modulated Sounds. Sensors 23(5):2826 (2023).
- Chang M., Yokota, Y., Ando, H., Maeda, T., Naruse, Y. Comparison and combination of gamified neurofeedback training and general behavioral training. PLoS ONE 17(12): e0278762 (2022).
- Yokota, Y., Naruse, Y. Effects of subjective and objective task difficulties for feedback- related brain potentials in social situations: An electroencephalogram study. PLoS ONE 17(12): e0277663 (2022).
- Fuseda, K., Watanabe, H., Matsumoto, A., Saito, J., Naruse, Y. & Ihara, A.S. Impact of depressed state on attention and language processing during news broadcasts: EEG analysis and machine learning approach. Sci Rep 12, 20492 (2022).
- Watanabe, H., Naruse, Y. P300 as a neural indicator for setting levels of goal scores in educational gamification applications from the perspective of intrinsic motivation: An ERP study. Front. Neuroergon, 3:9408080 (2022).
- Yumi Mashimo, Saki Tsuchihashi, Kenta Tsutsui, Tomoyuki Arai, Yoshitaka Tsuji, Toshiaki Numai, Kazuo Kameda, Kyoko Nishizawa, Mami Kovacs, Shukichi Tanaka, Hiroki Watanabe, Yasushi Naruse, Mitsuyo Ohmura, Noriyuki Ishida, Toshiki Iwasaki, Gaku Hiruma, Naoki Miyazaki, Ryo Takemura, Kengo Nagashima, Yasunori Sato, Yui Ohtsu, Takashi Nakano, Naomi Aida, Isao Iizuka, Hiromi Kato, Yoshiki Kobayashi, Takaaki Senbonmatsu, Synergistic Effect of Motivation for the Elderly and Support for Going out. J Pers Med, 12(8):1257 (2022).
- Yusuke Yokota, Takahiro Soshi, Yasushi Naruse, Error-related negativity predicts failure in competitive dual-player video games, PLOS ONE 14(2), e0212483 (2019).
- Yasuhisa Nakashima, Yasuhiko Igarashi, Yasushi Naruse, Masato Okada,Robust One-dimensional Phase Unwrapping using a Markov Random Field Model, J. Phys. Soc. Jpn. 87, 084801(2018) [8 Pages] .
- Hiroaki Umehara, Masato Okada, and Yasushi Naruse, Sequential Bayesian Filters for Estimating Time Series of Wrapped and Unwrapped Angles with Hyperparameter Estimation, J. Phys. Soc. Jpn. 87, 034005 (2018) [7 Pages] .
- Takashi Sagawa, Ryota Mashiko, Yusuke Yokota, YASUSHI NARUSE, Masato Okada, Hiroaki Kojima, Logistic regression of ligands of chemotaxis receptors offers clues about their recognition by bacteria, Frontiers in Bioengineering and Biotechnology,5:88(2018).
- Higashi, Y., Yokota, Y., Naruse, Y. Signal correlation between wet and original dry electrodes in electroencephalogram according to the contact impedance of dry electrodes. Conf Proc IEEE Eng Med Biol Soc. 1062-1065 (2017)．(Conference Paper)
- Ming Chang, Hiroyuki Iizuka, Hideki Kashioka, Yasushi Naruse, Masahiro Furukawa, Hideyuki Ando, Taro Maeda, Unconscious improvement in foreign language learning using mismatch negativity neurofeedback: A preliminary study. PLoS ONE. 12(6), e0178694(2017).
- Yusuke Yokota, Shingo Tanaka, Akihiro Miyamoto and Yasushi Naruse, Estimation of Human Workload from the Auditory Steady-State Response Recorded via a Wearable Electroencephalography System during Walking. Front. Hum. Neurosci. 11,314 (2017).
- Umehara, H., Okada, M., Teramae, J., Naruse, Y. Macroscopic neural mass model constructed from a current-based network model of spiking neurons. Biological Cybenetics 111, 91-103 (2017)
- Yokota, Y., Naruse Y. Phase coherence of auditory steady-state response reflects the amount of cognitive workload in a modified N-back task. Neuroscience Research 100, 39-45 (2015)
- Yokota, Y., Igarashi, Y., Okada, M., Naruse, Y. Estimation of the reaction times in tasks of varying difficulty from thephase coherence of the auditory steady-state response using the least absolute shrinkage and selection operator analysis. Conf Proc IEEE Eng Med Biol Soc. 6662-6666 (2015)．(Conference Paper)
- Yokota, Y.& Naruse, Y., K., Phase coherence of auditory steady-state response reflects the amount of cognitive workload in a modified N-back task, Neuroscience Research, in press.
- Naruse, Y., Takiyama, K., Okada, M., Umehara, H. & Sakaguchi, Y. Phase shifts in alpha-frequency rhythm detected in electroencephalograms influence reaction time. Neural Networks 62, 47-51 (2015)
- Chang, M., Iizuka, H., Naruse, Y., Ando, H. & Maeda, T. Unconscious learning of auditory discrimination using mismatch negativity (MMN) neurofeedback. Scientific Reports 4, Article number: 6729 (2014)
- Yokota, Y., Minami, T., Naruse, Y., & Nakauchi, S. Neural processes in pseudo perceptual rivalry: An ERP and time-frequency approach. Neuroscience. 271:20, 35-44 (2014)
- Shinozaki, T., Naruse, Y. & Cateau, H. Gap junctions facilitate propagation of synchronous firing in the cortical neural population: a numerical simulation study. Neural Networks 46, 91-98 (2013)
- Naruse, Y., Takiyama, K., Okada, M. & Umehara, H. Statistical method for detecting phase shifts in alpha rhythm from human electroencephalogram data. Physical Review E 87, 042708 (2013)
- Matani, A., Naruse, Y., Terazono, Y., Fujimaki, N. & Murata, T. Phase-Interpolated Averaging for Analyzing Electroencephalography and Magnetoencephalography Epochs. IEEE Trans. Biomed. Eng. 58, 71-80 (2011)
- Naruse, Y., Takiyama, K., Okada, M. & Murata, T. Inference in alpha rhythm phase and amplitude modeled on Markov random field using belief propagation from electroencephalograms. Phys. Rev. E 82, 011912 (2010)
- Matani, A., Naruse, Y., Terazono, Y., Iwasaki, T., Fujimaki, N. & Murata, T. Phase-compensated Averaging for Analyzing Electroencephalography and Magnetoencephalography Epochs. IEEE Trans. Biomed. Eng. 57, 1117-1123 (2010)
- Naruse, Y., Matani, A., Miyawaki, Y. & Okada, M. Influence of coherence between multiple cortical columns on alpha rhythm: A computational modeling study. Hum. Brain Mapp. 31, 703-715 (2010)
- Takiyama, K., Naruse, Y. & Okada, M. Statistical Mechanics of Mexican-hat-type Horizontal Connection. J. Phys. Soc. Jpn 78, 064002 (2009)
- Naruse, Y., Matani, A., Hayakawa, T. & Fujimaki, N. Influence of seamlessness between pre- and post-stimulus alpha rhythms on visual evoked potential. NeuroImage 32, 1221-1225 (2006)