FUKAYAMA, Osamu

R & D Engineer Ph. D. in Information Science and Technology Takahashi & Shiramatsu Lab. , Department of Mechano-Informatics, Graduate School of Information Science and Technology , The University of Tokyo 7-3-1 Hongo, Bunkyo, Tokyo 113-8656, Japan Email: o.fukayama[at]ne.t.u-tokyo.ac.jp

CV

• 2025.4 R&D Engineer (Takahashi & Shiramatsu lab.)
• 2020.1 Researcher (BMI Suzuki group) at CiNet, NICT
• 2018.4 Assistant Professor (Ishikawa group lab.)
• 2008.5 Assistant Professor (Mabuchi, Suzuki & Hoshino lab.)
• 2008.4 Project Research Associate
• 2008.3 Received Ph. D. in Information Science and Technology
• 2005.3 Received M. S. in Information Science and Technology
  - Department of Information Physics and Computing, Graduate School of Information Science and Technology, the University of Tokyo
• 2003.3 Received B. E. in Engineering
  - Graduated Department of Mathematical Engineering and Information Physics, School of Engineering, the University of Tokyo

Academic Activities

A member of IEEE/EMBS, Society for Neuroscience, BCI Society,
SICE, IEEJ, JSMBE, Japanese Society for Motor Control

• A homepage committee member of Japanese Society for Motor Control since 2014.
• A organizing committee member of ISCIE International Symposium
  on Stochastic Systems Theory and Its Applications (SSS) since 2025.

Awards

• ISCIE SSS'15 Young Author Prize (2016)
• IEEJ Excellent Presentation Award (2007)

Research Theme

• Brain-Machine Interfaces (BMI)
• Modeling electrophysiological measurement of neural activities in the brain
• Estimation of motor intentions using EEG

Publications

Papers

• N. Sudo, S. Fujiwara, T. Isoyama, O. Fukayama
  "Rattractor - A Realtime Place-triggred Rewarding Stimulator for a Rat,"
  PLoS ONE 18(6): e0287033. https://doi.org/10.1371/journal.pone.0287033
• S. Setogawa, R. Kanda, S. Tada, Y. Saitoh, M. Ishikawa, S. Nakada, F. Seki,
  K. Hikishima, H. Matsumto, K. Mizuseki, O. Fukayama, M. Osanai, H. Sekiguchi, N. Ohkawa
  "A novel micro-ECoG recording method for recording multisensory neural activity from the parietal to temporal cortices in mice,"
  Molecular Brain 16, 38 (2023). https://doi.org/10.1186/s13041-023-01019-9
• S. Nakatani, N. Araki, T. Hoshino, O. Fukayama, and K. Mabuchi,
  "Brain-controlled cycling system for rehabilitation following paraplegia with delay-time prediction,"
  Journal of Neural Engineering, vol. 18 (2020).
• Y. Kondo, Y. Yada, T. Haga, Y. Takayama, T. Isomura, Y. Jimbo, O. Fukayama, T. Hoshino, and K. Mabuchi,
  "Temporal relation between neural and neurite pruning on a microchannel device with micro electrode array,"
  Biochemical and Biophysical Research Communications, vol. 486, issue 2, pp. 539-544 (2017).
• T. Haga, O. Fukayama, Y. Takayama, T. Hoshino, and K. Mabuchi,
  "Efficient Sequential Bayesian Inference Method for Real-Time Detection and Sorting of Overlapped Neural Spikes,"
  Journal of Neuroscience Methods, vol. 219, issue 1, pp. 92-103 (2013).

International conferences

• K. Aoyama, H. Ban, A. Funase, O. Fukayama,
  "Research on Steady-State Visual Evoked Potentials by Visual Stimuli Considering Spatio-Temporal Frequency Spectrum",
  SICE Festival 2024 with Annual Conference, FrBT8.6 (Oral presentation [cancelled due to a climatic hazard]),
  Kochi Institute of Technology, Aug. 30, 2024.
• Y. Fukui, T. Suzuki, O. Fukayama,
  "Effect of electrode aperture size on recording surface potentials in the cortical brain",
  In proc. of The 56th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS '24),
  A-2-2-2 (Oral presentation), Maizuru Brick Park, Maizuru, Kyoto, Dec. 13, 2024.
• O. Fukayama, S. Fujiwara, A. Funase,
  "Recording sensory-evoked potentials at multiple depths in the skull,"
  In Proc. 45th Annual Intl Conf of IEEE EMBS (2023).
• O. Fukayama,
  "Study of spatial frequency characteristics implicitly assumed by brain recording using electrodes array,"
  In proc. of The 55th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (2023).
• Y. Kubota, T. Hayakawa, O. Fukayama, M. Ishikawa
  Sequential estimation of psychophysical parameters based on the paired Comparison.
  In Proc. 2022 IEEE/SICE International Symposium on System Integration (SII) (2022).
• O. Fukayama,
  "A spatial Laplacian filter for surface neural electrodes derived from a Gaussian process,"
  In Proc. The 10th International IEEE EMBS Conference on Neural Engineering, We1PO-04.4 (2021).
• O. Fukayama, K. Take, and T. Suzuki,
  "Decoding Sensory Responses in a Rat Brain Cortex Using a Gaussian-Process Regression Filter,"
  The 52nd ISCIE Intl. Symp. on Stochastic Systems Theory and Its Applications, pp. 51-52 (2020).
• O. Fukayama, N. Sudo, and T. Isoyama,
  "Leading a Rat Along a Moving Virtual Reward Circle with 'Rattractor', a Closed-Loop Deep-Brain Stimulator,"
  In Proc. of 9th Intl. IEEE EMBS Conf. on Neural Engineering, pp. 1195-1198 (2019).
• O. Fukayama, N. Sudo, and T. Isoyama,
  "Positioning of Neural Electrodes to Maximize Cortical Responses to Deep Brain Stimulation,"
  In Proc. of 9th Intl. IEEE EMBS Conf. on Neural Engineering (2019).
• N. Sudo, O. Fukayama, K. Mabuchi, and T. Isoyama,
  "Modifying behavior of a rat during a Brain-Machine Interface experiment by deep brain stimulation,"
  Society for Neuroscience Annual Meeting 2018 (2018).
• O. Fukayama, N. Sudo, K. Mabuchi, and T. Isoyama,
  "Rattractor - Closed-loop Rat Attractor by Deep Brain Stimulation,"
  40th Annual Intl. Conf. of the IEEE EMBS (2018).
• N. Sudo, O. Fukayama, and K. Mabuchi,
  "Study on the deep brain stimulation to induce voluntary locomotion of a rat,"
  Society for Neuroscience Annual Meeting 2017 (2017).
• O. Fukayama, N. Sudo, and K. Mabuchi,
  "Line Spectrum Pair Representation of Neural and Myoelectric Signals for Brain-Machine Interface Applications,"
  The 49th ISCIE Intl. Symp. on Stochastic Systems Theory and Its Applications, pp. 29-30 (2017).
• O. Fukayama, N. Sudo, and K. Mabuchi,
  "A gray-box Model Design of a Basal Ganglia-Cortical Brain-Machine Interface for a Rat,"
  The 48th ISCIE Intl. Symp. on Stochastic Systems Theory and Its Applications, pp. 63-64 (2016).
• O. Fukayama, and K. Mabuchi,
  "Artifacts Reduction with a Simple Filter for Multichannel Implantable Neural Interfaces,"
  Society for Neuroscience Annual Meeting 2015 (2015).
• O. Fukayama, S. Hara, I. Saito, Y. Abe, and K. Mabuchi,
  "Active Noise Reduction with the Wiener Filter for Vagal Nerve Recording of a Goat with an Implanted Artificial Heart Device,"
  The 47th ISCIE Intl. Symp. on Stochastic Systems Theory and Its Applications, pp. 25-26 (2015).
• N. Takahashi, K. Ishibashi, O. Fukayama, and K. Mabuchi,
  "Discrimination of Pedaling Speeds with EEG signals for Pedaling BCI,"
  The 2014 Biomedical Engineering Intl. Conference (BMEiCON) (2014).
• O. Fukayama, M. Yokota, R. Nakanishi, T. Suzuki, and K. Mabuchi,
  "Automatic locomotion-triggered intracortical stimulating system for a rat,"
  Society of Neuroscience Annual Meeting 2013 (2013).
• Y. Yada, T. Haga, O. Fukayama, T. Hoshino, and K. Mabuchi,
  "Multiplicative-STDP Learning Rule shows Pathway Specificity,"
  35th Annual Intl. Conf. of the IEEE EMBS (2013).
• O. Fukayama, M. Takano, T. Suzuki, and K. Mabuchi,
  "Line spectrum representation of neural signals recorded from behaving rats for brain-machine interfaces,"
  35th Annual Intl. Conf. of the IEEE EMBS (2013).
• O. Fukayama, T. Suzuki, and K. Mabuchi,
  "On-board Neural Processor on Vehicular BMI for Rat toward Long-term Operation,"
  In Proc. of the 5th Intl. BCI Meeting (2013).
• T. Haga, O. Fukayama, and K. Mabuchi,
  "Template Estimation of Overlapped Neural Spikes Using Hidden Markov Model,"
  The 44th ISCIE Symp. on Stochastic Systems Theory and Its Applications, pp. 75-76 (2012).
• T. Haga, O. Fukayama, T. Suzuki, and K. Mabuchi,
  "Estimation method of time-varying connection properties of neuronal network: assessments and application to in vitro data,"
  8th FENS Forum of Neuroscience (2012).
• T. Haga, Y. Takayama, O. Fukayama, T. Suzuki, and K. Mabuchi,
  "Analysis of time-varying connection properties of cultured neuronal network under diverse conditions of electrical stimuli,"
  MEA-meeting 2012 (2012).
• O. Fukayama, R. Nakanishi, H. Otsuka, T. Suzuki, and K. Mabuchi,
  "RatCar: A whole-body neuromuscular locomotion prosthetic device with exoskeletal robotic limbs for a rat,"
  In Proc. of the 6th Intl. Conf. on Soft Computing and Intelligent Systems and the 13th Intl. Symp. on Advanced Intelligent Systems, pp. 1158-1161 (2012).
• O. Fukayama, H. Otsuka, R. Hashimoto, T. Suzuki, and K. Mabuchi,
  "Development of exoskeletal robotic limbs for a rat controlled by neural signals based on a vehicular neuro-robotic platform RatCar,"
  In Prof. of 34th Annual Intl. Conf. of the IEEE EMBS, pp. 1707-1710 (2012).
• O. Fukayama, T. Suzuki, and K. Mabuchi,
  "Correlation induction between cortical extracellular spikes pattern and locomotion states by microstimulation for a BMI control,"
  Society for Neuroscience Annual Meeting 2010 (2010).
• H. Yaguchi, O. Fukayama, T. Suzuki, and K. Mabuchi,
  "Effect of simultaneous vibrations to two tendons on velocity of the induced illusory movement,"
  In Proc. of 32nd Annual Intl. Conf. of the IEEE EMBS, pp. 5851-5853 (2010).
• Y. Kobayashi, O. Fukayama, T. Suzuki, and K. Mabuchi,
  "Estimation of finger postures to control a maniform device for playing a trumpet using electromyographic signals with external triggers,"
  In Proc. of 32nd Annual Intl. Conf. of the IEEE EMBS, pp. 5847-5850 (2010).
• O. Fukayama, T. Suzuki, and K. Mabuchi,
  "RatCar: A vehicular neuro-robotic platform for a rat with a sustaining structure of the rat body under the vehicle,"
  In Proc. of 32nd Annual Intl. Conf. of the IEEE EMBS, pp. 4168-4171 (2010).
• O. Fukayama, T. Suzuki, and K. Mabuchi,
  "Analyzing Transition in Correlation between Neural Signals and Locomotion through Vehicular BMI RatCar,"
  Society for Neuroscience Annual Meeting 2009 (2009).
• O. Fukayama, N. Taniguchi, T. Suzuki, and K. Mabuchi,
  "Automatic Adaptation of Vehicle Controller to Time-Varying Neural Signals Recorded in RatCar System: A Vehicle-formed BMI,"
  In Proc. of Joint 4th Intl. Conf. on Soft Computing and Intelligent Systems and 9th Intl. Symp. on Advanced Intelligent Systems, pp. 253-256 (2008).
• O. Fukayama, N. Taniguchi, T. Suzuki, and K. Mabuchi,
  "RatCar system for estimating locomotion states using neural signals with parameter monitoring: Vehicle-formed brain-machine interface for rat,"
  In Proc. of 30th Annual Intl. Conf. of the IEEE EMBS, pp. 5322-5325 (2008).
• O. Fukayama, N. Taniguchi, S. Saito, T. Suzuki, and K. Mabuchi,
  "Control of a Vehicle-formed BMI System for Rats by Neural Signals Recorded in the Motor Cortex,"
  In Proc. of 3rd Intl. IEEE EMBS Conf. on Neural Engineering, pp. 394-397 (2007).
• O. Fukayama, N. Taniguchi, T. Suzuki, and K. Mabuchi,
  "Estimation of locomotion speed and directions changes to control a vehicle using neural signals from the motor cortex of rat,"
  In Proc. 28th Annual Intl. Conf. of IEEE EMBS, pp. 1138-1141 (2006).
• O. Fukayama, Y. Morishita, T. Suzuki, and K. Mabuchi,
  "Estimation of walking speed for controlling vehicle using neural signals from primary motor cortex of rat,"
  In Proc. 2nd Intl. IEEE EMBS Conf. on Neural Engineering, pp. 142-145 (2005).