A Next Generation Modeling Environment PLATO: Platform for Collaborative Brain System Modeling. - Shiro Usui; Keiichiro Inagaki; Takayuki Kannon; Yoshimi Kamiyama; Shunji Satoh; Nilton Liuji Kamiji; Yutaka Hirata; Akito Ishihara; Hayaru Shouno (ICONIP (1), 2009)

A model-based theory on the signal transformation for microsaccade generation. - Keiichiro Inagaki; Yutaka Hirata; Shiro Usui (Neural Networks, 2011)

PLATO: Data-oriented approach to collaborative large-scale brain system modeling. - Takayuki Kannon; Keiichiro Inagaki; Nilton Liuji Kamiji; Kouji Makimura; Shiro Usui (Neural Networks, 2011)

Simulation Platform: A cloud-based online simulation environment. - Tadashi Yamazaki; Hidetoshi Ikeno; Yoshihiro Okumura; Shunji Satoh; Yoshimi Kamiyama; Yutaka Hirata; Keiichiro Inagaki; Akito Ishihara; Takayuki Kannon; Shiro Usui (Neural Networks, 2011)

Reprint of: Simulation Platform: A cloud-based online simulation environment. - Tadashi Yamazaki; Hidetoshi Ikeno; Yoshihiro Okumura; Shunji Satoh; Yoshimi Kamiyama; Yutaka Hirata; Keiichiro Inagaki; Akito Ishihara; Takayuki Kannon; Shiro Usui (Neural Networks, 2011)

Bihemispheric Cerebellar Spiking Network Model to Simulate Acute VOR Motor Learning. - Keiichiro Inagaki; Yutaka Hirata (ICONIP (4), 2016)

Realization of Direction Selective Motor Learning in the Artificial Cerebellum: Simulation on the Vestibuloocular Reflex Adaptation*. - Shogo Takatori; Keiichiro Inagaki; Yutaka Hirata (EMBC, 2018)

Evaluation of Driving Skill Level Using Electroencephalogram (EEG). - Tatsuya Maruno; Yuya Goto; Keiichiro Inagaki (LifeTech, 2019)

Realistic Mathematical Model of Retinal Outer Plexiform Layer for Edge Detection. - Keiichiro Inagaki; Seiya Imanaka (EMBC, 2020)

Roles of the Cerebellar Interneurons on Vestibulo-Ocular Reflex Motor Learning: A Computational Study. - Takagi Ryunosuke; Taiga Matsuda; Keiichiro Inagaki (EMBC, 2020)

Evaluation of the EEG activation patterns during different difficulty and duration of mental tasks. - Kota Yamamoto; Yoshiyuki Ohta; Keiichiro Inagaki (LifeTech, 2020)

Effect of Fixational Eye Movement on Signal Processing of Retinal Photoreceptor: A Computational Study. - Keiichiro Inagaki; Takayuki Kannon; Yoshimi Kamiyama; Shiro Usui (IEICE Trans. Inf. Syst., 2020)

Evaluation of EEG Activation Pattern on the Experience of Visual Perception in the Driving. - Keiichiro Inagaki; Tatsuya Maruno; Kota Yamamoto (IEICE Trans. Inf. Syst., 2020)

Effect of Visual Attention and Driving Experiences on the Event-Related Potential P300 in the Perception of Traffic Scenes. - Kota Yamamoto; Sou Nobukawa; Nobuhiko Wagatsuma; Keiichiro Inagaki (APSIPA ASC, 2021)

Biometric Identification Method using Image Key and P300: A Pilot Study. - Keiichiro Inagaki; Taishi Tanizaki (LifeTech, 2021)

Gamma Band Functional Connectivity Enhanced by Driving Experience. - Sou Nobukawa; Nobuhiko Wagatsuma; Keiichiro Inagaki (LifeTech, 2021)

Evaluation of the Effect of ASMR on Reduction of Mental Stress: EEG Study. - Yoshiyuki Ohta; Keiichiro Inagaki (LifeTech, 2021)

Evaluation of Ability of Chaotic Resonance under Noises in Neural Systems Comprising Excitatory-Inhibitory Neurons. - Sou Nobukawa; Nobuhiko Wagatsuma; Haruhiko Nishimura; Keiichiro Inagaki; Teruya Yamanishi (SMC, 2021)

Recent Trends of Controlling Chaotic Resonance and Future Perspectives. - Sou Nobukawa; Haruhiko Nishimura; Nobuhiko Wagatsuma; Keiichiro Inagaki; Teruya Yamanishi; Tetsuya Takahashi 003 (Frontiers Appl. Math. Stat., 2021)

Effect of Experience on EEG Activation Pattern for Maneuvers and Perception of Driving. - Keiichiro Inagaki; Atsuhiro Sugai (LifeTech, 2022)

Relationship Between Electroencephalogram and Fine-art Generation using Generative Adversarial Networks. - Takagi Ryunosuke; Keiichiro Inagaki (LifeTech, 2022)

Memory Storage Systems Utilizing Chaotic Attractor-Merging Bifurcation. - Sou Nobukawa; Nobuhiko Wagatsuma; Haruhiko Nishimura; Keiichiro Inagaki; Teruya Yamanishi (IEEE Access, 2022)

Dynamic Characteristics of Electroencephalogram Reflecting Driving-Experience-Dependent Performance Using Microstates. - Yuta Iinuma; Takuto Ozawa; Sou Nobukawa; Nobuhiko Wagatsuma; Keiichiro Inagaki (APSIPA ASC, 2023)

P300 Event-Related Potential in Perception of Multiple Traffic Objects During Vehicle Driving. - Yuki Yamamoto; Sou Nobukawa; Nobuhiko Wagatsuma; Keiichiro Inagaki (APSIPA ASC, 2023)

Evaluation on induction of driver fatigue in driving different traffic condition: An EEG study. - Masataka Adachi; Keiichiro Inagaki (EMBC, 2023)

Extremely Weak Feedback Method for Controlling Chaotic Resonance. - Takahiro Iinuma; Yudai Ebato; Sou Nobukawa; Anh Tu Tran; Nobuhiko Wagatsuma; Keiichiro Inagaki; Hirotaka Doho; Teruya Yamanishi; Haruhiko Nishimura (SMC, 2023)

Influence of Additive and Contaminant Noise on Control-Feedback Induced Chaotic Resonance in Excitatory-Inhibitory Neural Systems. - Sou Nobukawa; Nobuhiko Wagatsuma; Haruhiko Nishimura; Keiichiro Inagaki; Teruya Yamanishi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2023)

Analysis of Causal Factor of Driver Fatigue in the Driving in Different Driving Conditions. - Masataka Adachi; Sou Nobukawa; Keiichiro Inagaki (IJCNN, 2024)

Assessment of driver fatigue-related brain responses and causal factors during driving under different traffic conditions. - Masataka Adachi; Sou Nobukawa; Keiichiro Inagaki (Frontiers Appl. Math. Stat., 2024)

Emergence of chaotic resonance controlled by extremely weak feedback signals in neural systems. - Anh Tu Tran; Sou Nobukawa; Nobuhiko Wagatsuma; Keiichiro Inagaki; Hirotaka Doho; Teruya Yamanishi; Haruhiko Nishimura (Frontiers Appl. Math. Stat., 2024)

Controlling Chaotic Resonance with Extremely Local-Specific Feedback Signals. - Takahiro Iinuma; Yudai Ebato; Sou Nobukawa; Nobuhiko Wagatsuma; Keiichiro Inagaki; Hirotaka Doho; Teruya Yamanishi; Haruhiko Nishimura (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024)