Naoyuki Sato, Future University Hakodate

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Research

Publications

Links
-2008 2009-
Review paper (2009-)

Simulation of human episodic memory by using a computational model of the hippocampus.
Naoyuki Sato and Yoko Yamaguchi, Advances in Artificial Intelligence, vol.2010, 2010, doi:10.1155/2010/392868.


Book chapter (2009-)

Memory Processing in the Nervous System.
Naoyuki Sato, "Understanding Information: From the Big Bang to Big Data (ed. Schuster, Alfons Josef)", Springer, 2017


Episodic memory and the hippocampus.
Naoyuki Sato, "Computational Models of Brain and Behavior (ed. Ahmed Moustafa)", Wiley-Blackwell, 2017, ISBN:9781119159063.


Journal papers (2009-)

Cortical traveling waves reflect state-dependent hierarchical sequencing of local regions in the human connectome network.
Nayouki Sato, Sci Rep, 12(1),2022. doi:10.1038/s41598-021-04169-9


Frequency-dependent cortical interactions during semantic processing: An electrocorticogram cross-spectrum analysis using a semantic space model.
Naoyuki Sato, Riki Matsumoto, Akihiro Shimotake, Masao Matsuhashi, Mayumi Otani, Takayuki Kikuchi, Takeharu Kunieda, Hiroaki Mizuhara, Susumu Miyamoto, Ryosuke Takahashi, Akio Ikeda, Cereb Cortex, 31(9), pp. 4329-4339, 2021.


Successful encoding during natural reading is associated with fixation-related potentials and large-scale network deactivation.
Nayouki Sato, Hiroaki Mizuhara, eNeuro 5(5), ENEURO.0122-18.2018 (participated in press promotion)


Words-in-sequence memory formed by eye movement sequences during reading: A network model based on theta phase coding.
Naoyuki Sato, Neural Processing Letters, 47(3), pp.1027-1039, 2018


Direction and viewing area-sensitive influence of EOG artifacts revealed in the EEG topographic pattern.
Guangyi Ai, Naoyuki Sato, Balbir Singh, and Hiroaki Wagatsuma. Cognitive Neurodynamics, 2016, doi:10.1007/s11571-016-9382-4


Viewing-Area Sensitive EOG Influences in EEG Topographic Map That Contribute to Ocular Artifact Removals in Future Combined Analyses with Eye-Tracker System.
Guangyi Ai, Naoyuki Sato, Balbir Singh, and Hiroaki Wagatsuma. ICIC Express Letters Part B: Applications, 2016.


Cortical networks dynamically emerge with the interplay of slow and fast oscillations for memory of a natural scene.
Hiroaki Mizuhara, Naoyuki Sato, and Yoko Yamaguchi. Neuroimage, vol. 111, pp. 76-84, 2015.


Spatial consistency of neural firing regulates long-range local field potential synchronization: a computational study.
Naoyuki Sato. Neural Networks. 2014, doi: 10.1016/j.neunet.2014.07.004


Fast entrainment of human electroencephalogram to a theta-band photic flicker during successful memory encoding.
Naoyuki Sato. Front Hum Neurosci, 2013, doi: 10.3389/fnhum.2013.00208.


Traveling EEG slow oscillation along the dorsal attention network initiates spontaneous perceptual switching
Takashi J. Ozaki, Naoyuki Sato, Keiichi Kitajo, Yoshiaki Someya, Kimitaka Anami, Hiroaki Mizuhara, Seiji Ogawa, and Yoko Yamaguchi, Cognitive Neurodynamics, vol.6, no.2, pp.185-198, 2012.


Spatial imagery of novel places based on visual scene transformation
Naoyuki Sato, Cognitive Systems Research , 2011, doi:10.1016/j.cogsys.2010.12.010


Integration of visual scenes and motion signals by entorhinal grid cells during spatial imagery.
Naoyuki Sato, Australian Journal of Intelligent Information Processing Systems , vol.11, no.1, pp.1-6, 2010.


Quo vadis artificial intelligence?
Daniel Berrar, Naoyuki Sato and Alfons Schuster, Advances in Artificial Intelligence, 2010.


A computational predictor of the human episodic memory based on a theta phase precession network
Naoyuki Sato and Yoko Yamaguchi, PLoS ONE, 4(10):e7536, 2009.


Subsequent memory-dependent EEG theta correlates to parahippocampal BOLD response
Naoyuki Sato, Takashi J. Ozaki, Yoshiaki Someya, Kimitaka Anami, Seiji Ogawa, Hiroaki Mizuhara and Yoko Yamaguchi (N. Sato and T.J. Ozaki contributed equally to this work.), NeuroReport, vol.21, no.3, pp.168-172, 2009. (cover art of the journal)


Spatial-area selective retrieval of multiple object-place associations in a hierarchical cognitive map formed by theta phase coding
Naoyuki Sato, Yoko Yamaguchi, Cognitive Neurodynamics., vol. 3(2), pp. 131-140, 2009.


Conference proceedings (2009-)

Infra-slow electroencephalogram power associates with reaction time in simple discrimination tasks
Naoyuki Sato, Yuichi Katori, Proceedings of ICONIP 2019, 2019


Predictability of electrocorticogram coherence using distributed semantic representation
Naoyuki Sato, Riki Matsumoto, Akihiro Shimotake, Masao Matsuhashi, Mayumi Otani, Takayuki Kikuchi, Takeharu Kunieda, Hiroaki Mizuhara, Ryosuke Takahashi, Akio Ikeda, Program ID: 339.18, Annual meeting of Society for Neuroscience 2019, Chicago, 2019年10月


Estimation of student classroom attention using a novel measure of head motion coherence.
Naoyuki Sato, Atsuko Tominaga, Proceedings of ICONIP 2018, Part VI (LNCS 11306), 2018


An electrocorticogram analysis based on the theoretical coupling between subpopulation network structure and cross-spectral power.
Naoyuki Sato, Riki Matsumoto, Akihiro Shimotake, Masao Matsuhashi, Takayuki Kikuchi, Takeharu Kunieda, Hiroaki Mizuhara, Ryosuke Takahashi, Akio Ikeda, Program ID: 514.03, Annual meeting of Society for Neuroscience 2018, San Diego, 2018年11月


A theoretical study of subpopulation network structure and electroencephalogram coherence coupling.
Naoyuki Sato, Program No.752.13, Annual meeting of Society for Neuroscience 2017, Washinton D.C., 2017年11月


Subsequent memory-dependent BOLD activation during the natural reading of literature.
Naoyuki Sato, and Hiroaki Mizuhara, 22th Annual Meeting of the Organization for Human Brain Mapping, Geneva, Switzerland, 2016. (to appear)


Memory of reading literature in a hippocampal network model based on theta phase coding.
Naoyuki Sato, A. Hirose et al. (Eds.): “ICONIP 2016, Part III”, LNCS 9949, pp. 61-69, 2016 (ICONIP2016 excellent paper award)


Predictability of subsequent retrieval after natural reading of literature: A scalp electroencephalogram study
Naoyuki Sato, Program No.171.23. 2015 Neuroscience Meeting Planner. Chicago: Society for Neuroscience, 2015.


Memory formation during the natural reading of literature: an EEG study.
Naoyuki Sato. 21st Annual Meeting of the Organization for Human Brain Mapping, Honolulu, US, 2015.


Coupling between spatial consistency of neural firing and local field potential coherence: a computational study.
Naoyuki Sato. Proceedings of 21th International Conference Neural Information Processing (ICONIP2014), Part I (LNCS 8834), pp. 167-174. Springer (2014) .


Electroencephalogram dynamics during social communication among multiple persons.
Naoyuki Sato, Taiki Sato, Takeya Okazaki, Mitsuru Takami. The 20th International Conference on Neural Information Processing (ICONIP2013), Korea, 2013.


A computational model of cortical pathways formed with electroencephalogram synchronization.
Naoyuki Sato, Proceedings of ICCN2013, 2013.


Variety of cortical pathways formed by topographic neural projection: A computational study.
Naoyuki Sato, The 19th International Conference on Neural Information Processing (ICONIP2012), Doha, Quatar, 12-15 Nov, 2012


Subsequent Memory Effect in Transient Responses of Photic Flicker-Induced EEG.
Naoyuki Sato, The 18th Annual Meeting of the organization for Human Brain Mapping, Beijing, China, 10-14 June, 2012.


Coding of visual images in the memory network: A theoretical evaluation of behavioral data
Naoyuki Sato, Proceedings of JNNS2011 , 2011.


Modulation of cortio-hippocampal EEG synchronization with visual flicker: A theoretical study.
Naoyuki Sato, Proceedings of ICCN2011 , 2011.


A thoretical model for locking of spatial phase of grid cells based on Hough transform of visual scenes.
Naoyuki Sato, the 41th Annual meeting of Society for Neuroscience , 2011.


Integration of visual scenes and motion signals by entorhinal grid cells during spatial imagery.
Naoyuki Sato, the 17th International Conference on Neural Information Processing , 2010.


Functional dissociation of upper and lower theta-band oscillations in human scalp EEG during episodic memory encoding.
Naoyuki Sato, the 40th Annual meeting of Society for Neuroscience , 2010.


A computational model of spatial imagery based on object-centered scene representation.
Naoyuki Sato, Lecture Notes in Computer Science, vol. 5863 (16th International Conference, ICONIP 2009, Proceedings), pp.49-56, 2009. (ICONIP 2009 Best Poster Award).


Conference (2009-)

A computational framework of large-scale space representation based on entorhinal grid cells.
Naoyuki Sato, The 11th Japan-Korea-China Joint Workshop on Neurobiology and Neuroinformatics(NBNI2011), Dec 18-19, 2011. (invited talk)