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ORCIDKeiichiro Inagaki
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2020 – today
- 2024
[j10]Takahiro Iinuma, Yudai Ebato, Sou Nobukawa, Nobuhiko Wagatsuma, Keiichiro Inagaki, Hirotaka Doho, Teruya Yamanishi, Haruhiko Nishimura:
Controlling Chaotic Resonance with Extremely Local-Specific Feedback Signals. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 107(8): 1106-1114 (2024)- [c19]Masataka Adachi, Sou Nobukawa, Keiichiro Inagaki:
Analysis of Causal Factor of Driver Fatigue in the Driving in Different Driving Conditions. IJCNN 2024: 1-7 - 2023
- [j9]Sou Nobukawa, Nobuhiko Wagatsuma, Haruhiko Nishimura, Keiichiro Inagaki, Teruya Yamanishi:
Influence of Additive and Contaminant Noise on Control-Feedback Induced Chaotic Resonance in Excitatory-Inhibitory Neural Systems. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 106(1): 11-22 (2023) - [c18]Yuki Yamamoto, Sou Nobukawa, Nobuhiko Wagatsuma, Keiichiro Inagaki:
P300 Event-Related Potential in Perception of Multiple Traffic Objects During Vehicle Driving. APSIPA ASC 2023: 311-316 - [c17]Yuta Iinuma, Takuto Ozawa, Sou Nobukawa, Nobuhiko Wagatsuma, Keiichiro Inagaki:
Dynamic Characteristics of Electroencephalogram Reflecting Driving-Experience-Dependent Performance Using Microstates. APSIPA ASC 2023: 2378-2383 - [c16]Masataka Adachi, Keiichiro Inagaki:
Evaluation on induction of driver fatigue in driving different traffic condition: An EEG study. EMBC 2023: 1-4 - [c15]Takahiro Iinuma
, Yudai Ebato, Sou Nobukawa, Anh Tu Tran, Nobuhiko Wagatsuma, Keiichiro Inagaki, Hirotaka Doho, Teruya Yamanishi, Haruhiko Nishimura:
Extremely Weak Feedback Method for Controlling Chaotic Resonance. SMC 2023: 1727-1732 - 2022
- [j8]Sou Nobukawa, Nobuhiko Wagatsuma, Haruhiko Nishimura, Keiichiro Inagaki, Teruya Yamanishi:
Memory Storage Systems Utilizing Chaotic Attractor-Merging Bifurcation. IEEE Access 10: 15699-15706 (2022) - [c14]Takagi Ryunosuke, Keiichiro Inagaki:
Relationship Between Electroencephalogram and Fine-art Generation using Generative Adversarial Networks. LifeTech 2022: 391-392 - [c13]Keiichiro Inagaki, Atsuhiro Sugai:
Effect of Experience on EEG Activation Pattern for Maneuvers and Perception of Driving. LifeTech 2022: 393-395 - 2021
- [j7]Sou Nobukawa, Haruhiko Nishimura, Nobuhiko Wagatsuma, Keiichiro Inagaki, Teruya Yamanishi, Tetsuya Takahashi:
Recent Trends of Controlling Chaotic Resonance and Future Perspectives. Frontiers Appl. Math. Stat. 7: 760568 (2021) - [c12]Kota Yamamoto, Sou Nobukawa, Nobuhiko Wagatsuma, Keiichiro Inagaki:
Effect of Visual Attention and Driving Experiences on the Event-Related Potential P300 in the Perception of Traffic Scenes. APSIPA ASC 2021: 1289-1293 - [c11]Yoshiyuki Ohta, Keiichiro Inagaki:
Evaluation of the Effect of ASMR on Reduction of Mental Stress: EEG Study. LifeTech 2021: 88-89 - [c10]Keiichiro Inagaki, Taishi Tanizaki:
Biometric Identification Method using Image Key and P300: A Pilot Study. LifeTech 2021: 90-91 - [c9]Sou Nobukawa, Nobuhiko Wagatsuma, Keiichiro Inagaki:
Gamma Band Functional Connectivity Enhanced by Driving Experience. LifeTech 2021: 379-381 - [c8]Sou Nobukawa, Nobuhiko Wagatsuma, Haruhiko Nishimura, Keiichiro Inagaki, Teruya Yamanishi:
Evaluation of Ability of Chaotic Resonance under Noises in Neural Systems Comprising Excitatory-Inhibitory Neurons. SMC 2021: 2197-2202 - 2020
- [j6]Keiichiro Inagaki, Takayuki Kannon, Yoshimi Kamiyama, Shiro Usui:
Effect of Fixational Eye Movement on Signal Processing of Retinal Photoreceptor: A Computational Study. IEICE Trans. Inf. Syst. 103-D(7): 1753-1759 (2020) - [j5]Keiichiro Inagaki, Tatsuya Maruno, Kota Yamamoto:
Evaluation of EEG Activation Pattern on the Experience of Visual Perception in the Driving. IEICE Trans. Inf. Syst. 103-D(9): 2032-2034 (2020) - [c7]Keiichiro Inagaki, Seiya Imanaka:
Realistic Mathematical Model of Retinal Outer Plexiform Layer for Edge Detection. EMBC 2020: 365-368 - [c6]Takagi Ryunosuke, Taiga Matsuda, Keiichiro Inagaki:
Roles of the Cerebellar Interneurons on Vestibulo-Ocular Reflex Motor Learning: A Computational Study. EMBC 2020: 386-389 - [c5]Kota Yamamoto, Yoshiyuki Ohta, Keiichiro Inagaki:
Evaluation of the EEG activation patterns during different difficulty and duration of mental tasks. LifeTech 2020: 80-81
2010 – 2019
- 2019
- [c4]Tatsuya Maruno, Yuya Goto, Keiichiro Inagaki:
Evaluation of Driving Skill Level Using Electroencephalogram (EEG). LifeTech 2019: 72-73 - 2018
- [c3]Shogo Takatori, Keiichiro Inagaki, Yutaka Hirata:
Realization of Direction Selective Motor Learning in the Artificial Cerebellum: Simulation on the Vestibuloocular Reflex Adaptation*. EMBC 2018: 5077-5080 - 2016
- [c2]Keiichiro Inagaki, Yutaka Hirata:
Bihemispheric Cerebellar Spiking Network Model to Simulate Acute VOR Motor Learning. ICONIP (4) 2016: 252-258 - 2011
- [j4]Tadashi Yamazaki, Hidetoshi Ikeno, Yoshihiro Okumura, Shunji Satoh, Yoshimi Kamiyama, Yutaka Hirata, Keiichiro Inagaki, Akito Ishihara, Takayuki Kannon, Shiro Usui:
Simulation Platform: A cloud-based online simulation environment. Neural Networks 24(7): 693-698 (2011) - [j3]Takayuki Kannon, Keiichiro Inagaki, Nilton Liuji Kamiji, Kouji Makimura, Shiro Usui:
PLATO: Data-oriented approach to collaborative large-scale brain system modeling. Neural Networks 24(9): 918-926 (2011) - [j2]Tadashi Yamazaki, Hidetoshi Ikeno, Yoshihiro Okumura, Shunji Satoh, Yoshimi Kamiyama, Yutaka Hirata, Keiichiro Inagaki, Akito Ishihara, Takayuki Kannon, Shiro Usui:
Reprint of: Simulation Platform: A cloud-based online simulation environment. Neural Networks 24(9): 927-932 (2011) - [j1]Keiichiro Inagaki, Yutaka Hirata, Shiro Usui:
A model-based theory on the signal transformation for microsaccade generation. Neural Networks 24(9): 990-997 (2011)
2000 – 2009
- 2009
- [c1]Shiro Usui, Keiichiro Inagaki, Takayuki Kannon, Yoshimi Kamiyama, Shunji Satoh, Nilton Liuji Kamiji, Yutaka Hirata, Akito Ishihara, Hayaru Shouno:
A Next Generation Modeling Environment PLATO: Platform for Collaborative Brain System Modeling. ICONIP (1) 2009: 84-90
Coauthor Index
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