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Journal Publications (peer reviewed)

  • C. Caremel, Y. Kawahara, K. Nakajima, Hysteretic reservoir, Physical Review Applied (accepted).

  • M. Nakajima, Y. Zhang, K. Inoue, Y. Kuniyoshi, T. Hashimoto, K. Nakajima, Reservoir Direct Feedback Alignment: Deep Learning by Physical Dynamics, Communications Physics (accepted)

  • G. Matsumura, S. Honda, T. Kikuchi, Y. Mizuno, H. Hara, Y. Kondo, H. Nakamura, S. Watanabe, K. Hayakawa, K. Nakajima, K. Takei,
    Real-time personal healthcare data analysis using edge computing for multimodal wearable sensors, Device 100597, 2024. link

  • M. Komatsu, T. Yaguchi, K. Nakajima, Algebraic Design of Physical Computing System, Physica D 470, Part A, 134382, 2024. link

  • S. Kobayashi, Q. H. Tran, K. Nakajima, Extending echo state property for quantum reservoir computing, Physical Review E 110, 024207, 2024. link

  • N. Akashi, Y. Kuniyoshi, T. Jo, M. Nishida, R. Sakurai, Y. Wakao, K. Nakajima, Embedding bifurcations into pneumatic artificial muscle, Advanced Science 11: 2304402, 2024. (Selected as Inside Front Cover) link

  • K. Okamoto, N. Akashi, I. Obayashi, K. Nakajima, H. Kokubu, K. Senda, K. Tsuchiya, S. Aoi, Sharp changes in fractal basin of attraction in passive dynamic walking, Nonlinear Dynamics 111, 21941–21955, 2023. link

  • Q. H. Tran, S. Ghosh, K. Nakajima, Quantum-classical hybrid information processing via a single quantum system, Physical Review Research 5: 043127, 2023. link

  • S. Tsunegi, T. Kubota, A. Kamimaki, J. Grollier, V. Cros, K. Yakushiji, A. Fukushima, S. Yuasa, H. Kubota, K. Nakajima, T. Taniguchi, Information processing capacity of spintronic oscillator, Advanced Intelligent Systems 2300175, 2023. link

  • T. Kubota, Y. Suzuki, S. Kobayashi, Q. H. Tran, N. Yamamoto, K. Nakajima, Temporal information processing induced by quantum noise, Physical Review Research 5: 023057, 2023. link

  • M. Ushio, K. Watanabe, Y. Fukuda, Y. Tokudome, K. Nakajima, Computational capability of ecological dynamics, Royal Society Open Science 10: 221614, 2023. link

  • K. Nakano, M. Gunji, M. Ikeda, K. Or, M. Ando, K. Inoue, H. Mochiyama, K. Nakajima, R. Niiyama, Y. Kuniyoshi, “RobOstrich” Manipulator: A Novel Mechanical Design and Control based on the Anatomy and Behavior of an Ostrich Neck, IEEE Robotics and Automation Letters 8 (5), pp. 3062-3069, 2023. link

  • T. Haruna, K. Nakajima, Generalized multiplicative stochastic processes arising from one-dimensional maps with noise, Artificial Life and Robotics 28, p.15–20 (2023). link

  • T. Yamaguchi, S. Tsunegi, K. Nakajima, T. Taniguchi, Computational capability for physical reservoir computing using a spin-torque oscillator with two free layers, Physical Review B 107: 054406, 2023. link

  • M. Nakajima, K. Inoue, K. Tanaka, Y. Kuniyoshi, T. Hashimoto, K. Nakajima, Physical deep learning with biologically inspired training method: gradient-free approach for physical hardware, Nature Communications 13: 7847, 2022. (Selected in Editor's Highlights) link

  • Y. Imai, K. Nakajima, S. Tsunegi, T. Taniguchi, Input-driven chaotic dynamics in vortex spin-torque oscillator, Scientific Reports 12: 21651, 2022. link

  • N. Akashi, Y. Kuniyoshi, S. Tsunegi, T. Taniguchi, M. Nishida, R. Sakurai, Y. Wakao, K. Kawashima, K. Nakajima, A Coupled Spintronics Neuromorphic Approach for High-Performance Reservoir Computing, Advanced Intelligent Systems 4: 2200123, 2022. link

  • K. Tanaka, Y. Minami, Y. Tokudome, K. Inoue, Y. Kuniyoshi, K. Nakajima, Continuum-body-pose estimation from partial sensor information using recurrent neural networks, IEEE Robotics and Automation Letters 7 (4), pp. 11244-11251, 2022. link

  • Y. Imai, S. Tsunegi, K. Nakajima, T. Taniguchi, Noise-induced synchronization of spin-torque oscillators, Physical Review B 105: 224407, 2022. link

  • W. Sun, N. Akashi, Y. Kuniyoshi, K. Nakajima, Physics-informed recurrent neural networks for soft pneumatic actuators, IEEE Robotics and Automation Letters 7 (3), pp. 6862-6869, 2022. link

  • S. Wakabayashi, T. Arie, S. Akita, K. Nakajima, K. Takei, A multi-tasking flexible sensor via reservoir computing, Advanced Materials, 34: 2201663, 2022. (Selected as Inside Front Cover) link

  • R. Sakurai, M. Nishida, T. Jo, Y. Wakao, K. Nakajima, Durable Pneumatic Artificial Muscles with Electric Conductivity for Reliable Physical Reservoir Computing, Journal of Robotics and Mechatronics Vol.34, No.2, pp. 240-248, 2022. link

  • K. Inoue, Y. Kuniyoshi, K. Kagaya, K. Nakajima, Skeletonizing the Dynamics of Soft-Continuum Body from Video, Soft Robotics 9(2): pp. 201-211, 2022. link  (GitHub: https://github.com/katsuma-inoue/soft_skeleton_solver )

  • K. Inoue, S. Ohara, Y. Kuniyoshi, K. Nakajima, Transient chaos in bidirectional encoder representations from transformers, Physical Review Research 4: 013204, 2022. link

  • R. Terajima, K. Inoue, S. Yonekura, K. Nakajima, Y. Kuniyoshi, Behavioral Diversity Generated from Body–Environment Interactions in a Simulated Tensegrity Robot, IEEE Robotics and Automation Letters 7 (2), pp. 1597-1604, 2022. link

  • M. Akai-Kasaya, Y. Takeshima, S. Kan, K. Nakajima, T. Oya, T. Asai, Performance of reservoir computing in a random network of single-walled carbon nanotubes complexed with polyoxometalate, Neuromorphic Computing and Engineering 2 (1): 014003, 2022. link

  • K. Tanaka, Y. Tokudome, Y. Minami, S. Honda, T. Nakajima, K. Takei, K. Nakajima, Self-organization of remote reservoirs: transferring computation to spatially distant locations, Advanced Intelligent Systems 4: 2100166, 2022. (Selected as Editors' Choice) link

  • N. Akashi, K. Nakajima, M. Shibayama, Y. Kuniyoshi, A Mechanical True Random Number Generator, New Journal of Physics 24: 013019, 2022. link

  • S. Kan, K. Nakajima, T. Asai, M. Akai-Kasaya, Physical Implementation of Reservoir Computing through Electrochemical Reaction, Advanced Science, 9: 2104076, 2021. (Selected as Frontispiece) link

  • Q. H. Tran, K. Nakajima, Learning Temporal Quantum Tomography, Physical Review Letters 127: 260401, 2021. link

  • A. Kamimaki, T. Kubota, S. Tsunegi, K. Nakajima, T. Taniguchi, J. Grollier, V. Cros, K. Yakushiji, A. Fukushima, S. Yuasa, H. Kubota, Chaos in spin-torque oscillator with feedback circuit, Physical Review Research 3: 043216, 2021. link

  • T. Kubota, H. Takahashi, K. Nakajima, Unifying framework for information processing in stochastically driven dynamical systems, Physical Review Research 3: 043135, 2021. link (GitHub: https://github.com/kubota0130/ipc )

  • S. Oshino, R. Nishihama, K. Wakamatsu, K. Inoue, D. Matsui, M. Okui, K. Nakajima, Y. Kuniyoshi, T. Nakamura, Generalization Capability of Mixture Estimation Model for Peristaltic Continuous Mixing Conveyor, IEEE Access 9: pp. 138866 - 138875, 2021. link

  • T. Goto, Q. H. Tran, K. Nakajima, Universal approximation property of quantum machine learning models in quantum-enhanced feature spaces, Physical Review Letters 127: 090506, 2021. link

  • S. Ghosh, K. Nakajima, T. Krisnanda, K. Fujii, T. C. H. Liew, Quantum Neuromorphic Computing with Reservoir Computing Networks, Advanced Quantum Technologies 4: 2100053, 2021. link

  • K. Goto, K. Nakajima, H. Notsu, Twin vortex computer in fluid flow, New Journal of Physics 23: 063051, 2021. link

  • S. Kan, K. Nakajima, Y. Takeshima, T. Asai, Y. Kuwahara, M. Akai-Kasaya, Simple reservoir computing capitalizing on the nonlinear response of materials: theory and physical implementations, Physical Review Applied 15: 024030, 2021. link

  • K. Tanaka, S.-H. Yang, Y. Tokudome, Y. Minami, Y. Lu, T. Arie, S. Akita, K. Takei, K. Nakajima, Flapping-wing dynamics as a natural detector of wind direction, Advanced Intelligent Systems 3: 2000174, 2021. link

  • M. Komatsu, T. Yaguchi, K. Nakajima, Algebraic approach towards the exploitation of "softness": the input-output equation for morphological computation, The International Journal of Robotics Research 40 (1), pp. 99-118, 2021. link

  • N. Akashi, T. Yamaguchi, S. Tsunegi, T. Taniguchi, M. Nishida, R. Sakurai, Y. Wakao, K. Nakajima, Input-driven bifurcations and information processing capacity in spintronics reservoirs, Physical Review Research 2: 043303, 2020. link

  • K. Inoue, K. Nakajima, Y. Kuniyoshi, Designing spontaneous behavioral switching via chaotic itinerancy, Science Advances 6 (46), eabb3989, 2020. (Github: https://github.com/katsuma-inoue/designing_chaotic_itinerancy_demo ) link

  • T. Yamaguchi, N. Akashi, K. Nakajima, H. Kubota, S. Tsunegi, T. Taniguchi, Step-like dependence of memory function on pulse width in spintronics reservoir computing, Scientific Reports 10: 19536, 2020. link

  • T. Yamaguchi, N. Akashi, S. Tsunegi, H. Kubota, K. Nakajima, T. Taniguchi, Periodic structure of memory function in spintronics reservoir with feedback current, Physical Review Research 2: 023389, 2020. link

  • K. Nakajima, Physical reservoir computing---an introductory perspective, Japanese Journal of Applied Physics 59: 060501, 2020. link

  • T. Tanaka, K. Nakajima, T. Aoyagi, Effect of recurrent infomax on the information processing capability of input-driven recurrent neural networks, Neuroscience Research 156: pp. 225–233, 2020. link

  • T. Haruna, K. Nakajima, Optimal short-term memory before the edge of chaos in driven random recurrent networks, Physical Review E 100: 062312, 2019. link

  • T. Yamaguchi, N. Akashi, K. Nakajima, S. Tsunegi, H. Kubota, T. Taniguchi, Synchronization and chaos in a spin torque oscillator with a perpendicularly magnetized free layer, Physical Review B 100: 224422, 2019. link

  • T. Taniguchi, N. Akashi, H. Notsu, M. Kimura, H. Tsukahara, K. Nakajima, Chaos in nanomagnet via feedback current, Physical Review B 100: 174425, 2019. link

  • S. Tsunegi, T. Taniguchi, K. Nakajima, S. Miwa, K. Yakushiji, A. Fukushima, S. Yuasa, H. Kubota, Physical reservoir computing based on spin torque oscillator with forced synchronization, Applied Physics Letters 114: 164101, 2019. link

  • K. Nakajima, K. Fujii, M. Negoro, K. Mitarai, M. Kitagawa, Boosting computational power through spatial multiplexing in quantum reservoir computing, Physical Review Applied 11: 034021, 2019. link

  • K. Nakajima, T. Haruna, Spatiotemporal dynamics driven by the maximization of local information transfer, New Journal of Physics 21: 013034, 2019. link

  • S. Tsunegi, T. Taniguchi, S. Miwa, K. Nakajima, K. Yakushiji, A. Fukushima, S. Yuasa, H. Kubota, Evaluation of memory capacity of spin torque oscillator for recurrent neural networks, Japanese Journal of Applied Physics 57: 120307, 2018. link

  • T. Furuta, K. Fujii, K. Nakajima, S. Tsunegi, H. Kubota, Y. Suzuki, S. Miwa, Macromagnetic simulation for reservoir computing utilizing spin-dynamics in magnetic tunnel junctions, Physical Review Applied 10: 034063, 2018. link

  • T. Haruna, K. Nakajima, Maximizing Local Information Transfer in Boolean Networks, New Journal of Physics 20: 083046, 2018. link

  • K. Nakajima, H. Hauser, T. Li, R. Pfeifer, Exploiting the Dynamics of Soft Materials for Machine Learning, Soft Robotics 5 (3): pp. 339-347, 2018. link (Supplementary Data).

  • K. Fujii, K. Nakajima, Harnessing disordered-ensemble quantum dynamics for machine learning, Physical Review Applied 8: 024030, 2017. link

  • K. Nakajima, H. Hauser, T. Li, R. Pfeifer, Information processing via physical soft body, Scientific Reports 5: 10487, 2015. link

  • K. Nakajima, N. Schmidt, R. Pfeifer, Measuring Information Transfer in a Soft Robotic Arm, Bioinspiration & Biomimetics 10 (3): 035007, 2015. link

  • G. Murakami, Y. Hojo, M. Ogiue-Ikeda, H. Mukai, P. Chambon, K. Nakajima, Y. Ooishi, T. Kimoto, S. Kawato, Estrogen receptor KO mice study on rapid modulation of spines and long-term depression in the hippocampus, Brain Research 1621, pp. 133–146, 2015. link

  • K. Nakajima, T. Li, H. Hauser, R. Pfeifer, Exploiting short-term memory in soft body dynamics as a computational resource, Journal of the Royal Society Interface 11 (100): 20140437, 2014. link

  • Q. Zhao, H. Sumioka, K. Nakajima, X. Yu, R. Pfeifer, Spine as an Engine: Effect of Spine Morphology on Spine-Driven Quadruped Locomotion, Advanced Robotics 28 (6), pp. 367-378, 2014. link

  • T. Haruna, K. Nakajima, Permutation Complexity and Coupling Measures in Hidden Markov Models, Entropy 15 (9), pp. 3910-3930, 2013. link

  • K. Nakajima, H. Hauser, R. Kang, E. Guglielmino, D. G. Caldwell, R. Pfeifer, A Soft Body as a Reservoir: Case Studies in a Dynamic Model of Octopus-Inspired Soft Robotic Arm, Frontiers in Computational Neuroscience 7: 91, 2013. link

  • T. Haruna, K. Nakajima, Permutation approach to finite-alphabet stationary stochastic processes based on the duality between values and orderings, The European Physical Journal Special Topics 222 (2), pp. 367-383, 2013. link

  • K. Nakajima, T. Haruna, Symbolic local information transfer, The European Physical Journal Special Topics 222 (2), pp. 421-439, 2013. link

  • T. Haruna, K. Nakajima, Symbolic transfer entropy rate is equal to transfer entropy rate for bivariate finite-alphabet stationary ergodic Markov processes, The European Physical Journal B 86 (5), 230, 2013. link

  • S. Miyashita, K. Nakajima, Z. Nagy, R. Pfeifer, Self-Organized Translational Wheeling Behavior in Stochastic Self-Assembling Modules, Artificial Life 19 (1), pp. 79-95, 2013. link

  • N. Schmidt, M. Hoffmann, K. Nakajima, R. Pfeifer, Bootstrapping Perception Using Information Theory: Case Studies in a Quadruped Robot Running on Different Grounds, Advances in Complex Systems 16 (1&2), 1250078, 2013. link

  • K. Nakajima, A. M. T. Ngouabeu, S. Miyashita, M. Goldi, R. M. Füchslin, and R. Pfeifer, Morphology-Induced Collective Behaviors: Dynamic Pattern Formation in Water-Floating Elements, PLoS ONE 7 (6): e37805, 2012. link

  • T. Li, K. Nakajima, M. J. Kuba, T. Gutnick, B. Hochner, and R. Pfeifer, From the octopus to soft robots control: an octopus inspired behavior control architecture for soft robots, Vie et Milieu vol. 61, pp. 211-217, 2012. link

  • T. Haruna, K. Nakajima, Permutation complexity via duality between values and orderings, Physica D vol. 240, pp. 1370- 1377, 2011. link

  • K. Nakajima, T. Haruna, Self-Organized Perturbations Enhance Class IV Behavior and 1/f Power Spectrum in Elementary Cellular Automata, BioSystems vol. 105, pp. 216-224, 2011. link

  • K. Nakajima, T. Ikegami, Dynamical Systems Interpretation of Reversal of Subjective Temporal Order Due to Arm Crossing, Adaptive Behavior vol.18, no. 3-4, 189-210, 2010. link

  • S. Higo, Y. Hojo, H. Ishii, T. Kominami, K. Nakajima, D. Poirier, T. Kimoto, S. Kawato, Comparison of sex-steroid synthesis between neonatal and adult rat hippocampus, Biochemical and Biophysical Research Communications vol.385, pp. 62-66, 2009. link

  • M. Kamiura, K. Nakajima, Y.-P. Gunji, Robust Criticality on a Dynamical System Derived from Incompletely Identified States, Transactions of the Society of Instrument and Control Engineers vol.44. No.1, pp.86-95, 2008. link

     

Conference Papers, Book Chapters (peer reviewed)

  • T. Hasegawa, M. Austin, H. Sumioka, Y. Kuniyoshi, K. Nakajima, Takorobo: Towards Closed-Loop Body Driven Locomotion Processing, in Proceedings of the ALIFE 2024: The 2024 Conference on Artificial Life, pp.81 (9pages), 2024.

  • K. Uehara, K. Inoue, Y. Kuniyoshi, K. Nakajima, Ouroborotic Swarm Control: Collective Dynamics as a Reservoir, in Proceedings of the ALIFE 2024: The 2024 Conference on Artificial Life, pp. 63 (9pages), 2024.

  • K. Hu, Q. Wang, T. Shi, K. Nakajima, Y. Pan, Memory Regressor Extended Echo State Networks for Nonlinear Dynamics Modeling. in 2024 European Control Conference (ECC), pp. 1334-1339, 2024.

  • K. Nakajima, H. Sawada, N. Akashi, Information Processing Using Soft Body Dynamics, in The Science of Soft Robots. (Natural Computing Series, Singapore Springer), pp. 357-392, 2023.

  • S. Hirai, H. Mochiyama, K. Nakajima, N. Akashi, Modeling and Control of Continuum Body, in The Science of Soft Robots. (Natural Computing Series, Singapore Springer), pp. 279-318, 2023.

  • M. Nishida, R. Sakurai, Y. Wakao, K. Nakajima, Pre-training on physical dynamics enhances indirect sensing in recurrent neural networks, in Proceedings of 2022 International Symposium on Micro-NanoMehatronics and Human Science (MHS), pp. 1-7, 2022. doi: 10.1109/MHS56725.2022.10092140.

  • K. Kagaya, B. Yu, Y. Minami, K. Nakajima, Echo state property and memory in octopus-inspired soft robotic arm, in Proceedings of 2022 IEEE 5th International Conference on Soft Robotics (RoboSoft), pp. 224-230, 2022.

  • W. Sun, N. Akashi, Y. Kuniyoshi, K. Nakajima, Self-organization of physics-informed mechanisms in recurrent neural networks: a case study in pneumatic artificial muscles, in Proceedings of 2022 IEEE 5th International Conference on Soft Robotics (RoboSoft), pp. 409-415, 2022.

  • W. Sun, N. Akashi, Y. Kuniyoshi, K. Nakajima, Physics-informed reservoir computing with autonomously switching readouts: a case study in pneumatic artificial muscles, in Proceedings of 2021 International Symposium on Micro-NanoMechatronics and Human Science (MHS), pp. 1-6, 2021. doi: 10.1109/MHS53471.2021.9767178. (Best Paper Awards)

  • Y. Wakao, R. Sakurai, H. Kitano, K. Nakajima, Object Recognition Using the Deformation Dynamics of Polyurethane Foam, in Proceedings of 2021 International Symposium on Micro-NanoMechatronics and Human Science (MHS), pp. 1-6, doi: 10.1109/MHS53471.2021.9767110.

  • R. Wu, K. Nakajima, Y. Pan, Performance Improvement of FORCE Learning for Chaotic Echo State Networks. in Mantoro T., Lee M., Ayu M.A., Wong K.W., Hidayanto A.N. (eds) Neural Information Processing. ICONIP 2021. Lecture Notes in Computer Science, vol 13109. Springer, Cham, pp. 262-272, 2021.

  • H. Sumioka, K. Nakajima, K. Sakai, T. Minato, M. Shiomi, Wearable tactile sensor suit for natural body dynamics extraction: case study on posture prediction based on physical reservoir computing, in Proceedings of 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 9481-9488, 2021.

  • M. Negoro, K. Mitarai, K. Nakajima, K. Fujii, Toward NMR Quantum Reservoir Computing, in Reservoir Computing---Theory, Physical Implementations, and Applications. (Natural Computing Series, Singapore Springer), pp. 451-458, 2021.

  • K. Fujii, K. Nakajima, Quantum Reservoir Computing: A Reservoir Approach Toward Quantum Machine Learning on Near-Term Quantum Devices, in Reservoir Computing---Theory, Physical Implementations, and Applications. (Natural Computing Series, Singapore Springer), pp. 423-450, 2021.

  • T. Taniguchi, S. Tsunegi, S. Miwa, K. Fujii, H. Kubota, K. Nakajima, Reservoir Computing Based on Spintronics Technology, in Reservoir Computing---Theory, Physical Implementations, and Applications. (Natural Computing Series, Singapore Springer), pp. 331-360, 2021.

  • Y. Horii, K. Inoue, S. Nishikawa, K. Nakajima, R. Niiyama, Y. Kuniyoshi, Physical reservoir computing in a soft swimming robot, in Proceedings of the ALIFE 2021: The 2021 Conference on Artificial Life, pp.92 (9pages), 2021. https://doi.org/10.1162/isal_a_00426

  • G. Soter, H. Hauser, A. Conn, J. Rossiter, K. Nakajima, Shape reconstruction of CCD camera-based soft tactile sensors, in Proceedings of 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 8957-8962, 2020.

  • R. Sakurai, M. Nishida, H. Sakurai, Y. Wakao, N. Akashi, Y. Kuniyoshi, Y. Minami, K. Nakajima, Emulating a sensor using soft material dynamics: A reservoir computing approach to pneumatic artificial muscle, in Proceedings of 2020 3rd IEEE International Conference on Soft Robotics (RoboSoft), pp. 710-717, 2020.

  • K. Wakamatsu, K. Inoue, D. Hagiwara, H. Adachi, D. Matsui, S. Kurumaya, R. Nishihama, M. Okui, K. Nakajima, Y. Kuniyoshi, T. Nakamura, Mixing State Estimation of Peristaltic Continuous Mixing Conveyor with Distributed Sensing System Based on Soft Intestine Motion, in Proceedings of 2020 3rd IEEE International Conference on Soft Robotics (RoboSoft), pp. 208-214, 2020.

  • N. Akashi, K. Nakajima, Y. Kuniyoshi, Unpredictable as dice: analyzing riddled basin structures in a passive dynamic walker, in Proceedings of 2019 International Symposium on Micro-NanoMechatronics and Human Science (MHS), pp. 119-123, 2019.

  • K. Inoue, K. Nakajima, Y. Kuniyoshi, Soft bodies as input reservoir: role of softness from the viewpoint of reservoir computing, in Proceedings of 2019 International Symposium on Micro-NanoMechatronics and Human Science (MHS), pp. 60-65, 2019. (Best Paper Awards)

  • T. Kubota, K. Nakajima, H. Takahashi, Echo State Property of Neuronal Cell Cultures. in Lecture Notes in Computer Science (vol 11731): International Conference on Artificial Neural Networks (ICANN2019), Springer, Cham., pp. 137-148, 2019.

  • E. A. Torres, K. Nakajima, I. S. Godage, Information Processing Capability of Soft Continuum Arms, in Proceedings of 2019 2nd IEEE International Conference on Soft Robotics (RoboSoft), pp. 441-447, 2019. 

  • K. Nakajima, T. Li, N. Akashi, Soft timer: dynamic clock embedded in soft body. In Robotic Systems and Autonomous Platforms: Advances in Materials and Manufacturing (Woodhead Publishing in Materials), pp. 181-196, 2018.

  • Y. Yamanaka, T. Yaguchi, K. Nakajima, H. Hauser, Mass-Spring Damper Array as a Mechanical Medium for Computation. in Lecture Notes in Computer Science (vol 11141): International Conference on Artificial Neural Networks (ICANN2018), Springer, Cham., pp. 781-794, 2018.

  • T. Kubota, K. Nakajima, H. Takahashi, Information processing using a single Izhikevich neuron. in Artificial Life Conference Proceedings, pp. 550-557, 2018.

  • K. Nakajima, Muscular-Hydrostat Computers: Physical Reservoir Computing for Octopus-Inspired Soft Robots. In Brain Evolution by Design (Springer Japan), pp. 403--414, 2017.

  • Q. Zhao, K. Nakajima, H. Sumioka, H. Hauser, R. Pfeifer, Spine dynamics as a computational resource in spine-driven quadruped locomotion, in Proceedings of 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1445-1451, 2013.

  • K. Nakajima, H. Hauser, R. Kang, E. Guglielmino, D. G. Caldwell, R. Pfeifer, Computing with a Muscular-Hydrostat System, in Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA), pp. 1496 – 1503, 2013

  • T. Li, K. Nakajima, R. Pfeifer, Online Learning Technique for Behavior Switching in a Soft Robotic Arm, in Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA), pp. 1288 – 1294, 2013.

  • K. Nakajima, T. Li, R. Kang, E. Guglielmino, D. G. Caldwell, R. Pfeifer, Local Information Transfer in Soft Robotic Arm, in Proceedings of 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 1273 – 1280, 2012.

  • Q. Zhao, H. Sumioka, X. Yu, K. Nakajima, Z. Wang, R. Pfeifer, The Function of the Spine and its Morphological Effect in Quadruped Robot Locomotion, in Proceedings of 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 66 – 71, 2012. (Finalists of Best Paper in Robotics)

  • T. Li, K. Nakajima, M. Calisti, C. Laschi, R. Pfeifer, Octopus-Inspired Sensorimotor Control of a Multi-Arm Soft Robot, in Proceedings of 2012 International Conference on Mechatronics and Automation (ICMA), pp. 948 - 955, 2012.

  • Q. Zhao, K. Nakajima, H. Sumioka, X. Yu, R. Pfeifer, Embodiment Enables the Spinal Engine in Quadruped Robot Locomotion, in Proceedings of 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2449 – 2456, 2012.

  • J. Kuwabara, K. Nakajima, R. Kang, D. T. Branson, E. Guglielmino, D. G. Caldwell, R. Pfeifer, Timing-Based Control via Echo State Network for Soft Robotic Arm, in Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), pp. 1 – 8, 2012.

  • T. Li, K. Nakajima, M. Cianchetti, C. Laschi, R. Pfeifer, Behavior Switching by Using Reservoir Computing for a Soft Robotic Arm, in Proceedings of 2012 IEEE International Conference on Robotics and Automation (ICRA), pp. 4918 – 4924, 2012.

  • K. Nakajima, T. Li, H. Sumioka, M. Cianchetti, R. Pfeifer, Information Theoretic Analysis on a Soft Robotic Arm Inspired by the Octopus, in Proceedings of 2011 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 110 – 117, 2011.(Finalists of Best Paper in Biomimetics)

  • K. Nakajima, Dynamics underneath Symbols: A Case Study in Autonomous Agents, International Journal of Computing Anticipatory Systems, vol. 28, pp. 187-200, 2014. (Postceedings of CASYS’11)

  • T. Haruna, K. Nakajima, Permutation excess entropy and mutual information between the past and future, International Journal of Computing Anticipatory Systems, vol. 26, pp. 197-209, 2014. (Postceedings of CASYS’11)

  • K. Nakajima, T. Li, N. Kuppuswamy, R. Pfeifer, Harnessing the Dynamics of a Soft Body with “Timing”: Octopus Inspired Control via Recurrent Neural Networks, in Proceedings of 2011 15th International Conference on Advanced Robotics (ICAR), pp. 277 – 284, 2011.

  • S. Miyashita, A. M. T. Ngouabeu, R. M. Füchslin, K. Nakajima, C. Audretsch, R. Pfeifer, Basic Problems in Self-Assembling Robots and a Case Study of Segregation on Tribolon Platform, Studies in Computational Intelligence, vol. 355, pp. 173-191, 2011.

  • K. Nakajima, Measuring Information Transfer in Online Adaptation Process of Recurrent Neural Networks, International Journal of Computing Anticipatory Systems, vol. 24, pp. 33-41, 2010. (Postceedings of CASYS’09)

  • A. M. T. Ngouabeu, S. Miyashita, R. M. Füchslin, K. Nakajima, M. Goldi, R. Pfeifer, Self-organized Segregation Effect on Water Based Self-Assembling Robots, in Proceedings of 12th International Conference on the Simulation and Synthesis of Living System (Artificial Life XII), MIT Press, pp. 232 – 238, 2010.

  • K. Nakajima, T. Haruna, Embodiment of the Game of Life, Lecture Notes in Computer Science: Proceedings of the 10th European Conference on Artificial Life (ECAL 2009), Springer, vol.5777, pp. 75- 82, 2011.

  • M. Kamiura, K. Nakajima, Y.-P. Gunji, Local-Global Interaction on a Phase Space Based on Generative Pointer, International Journal of Computing Anticipatory Systems, vol.20, pp.165-176, 2008. (Postceedings of CASYS’07)

  • K. Nakajima, Formalization of Embodied Sensorimotor Coupling System, COMPUTING ANTICIPATORY SYSTEMS: CASYS'07-Eighth International Conference (AIP Conference Proceedings), vol. 1051, pp. 233-243, 2008. (Best paper award (Crystal award) )

  • K. Nakajima, S. Shinkai, T. Ikegami, Formal Model of Embodiment on Abstract Systems: From hierarchy to heterarchy, Lecture Notes in Computer Science: Proceedings of the 9th European Conference on Artificial Life (ECAL 2007), Springer, vol.4648, pp.1110-1119, 2007.

  • K. Nakajima, S. Shinkai, The Construction of Observational Heterarchy on One-Dimensional Map System, in Proceedings of the 2007 International Conference on Bioinformatics and Computational Biology (BIOCOMP’07), CSREA Press, vol.1, pp.301-306, 2007.

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Extended Abstract, Short Paper (peer reviewed)

  • M. Komatsu, T. Yaguchi, K. Nakajima, Algebraic Design of Physical Computing System for Time-Series Generation, in NeurIPS 2023 Workshop: Machine Learning with New Compute Paradigms ( https://openreview.net/forum?id=fLfYeAfiCq ).

  • S. Kobayashi, Q. H. Tran, K. Nakajima, Hierarchy of the echo state property in quantum reservoir computing, in NeurIPS 2023 Workshop: Machine Learning with New Compute Paradigms ( https://openreview.net/forum?id=n0HMpICxpU ).

  • T. De Jong, N. Akashi, T. Taniguchi, H. Notsu, K. Nakajima, Virtual reservoir acceleration for CPU and GPU: Case study for coupled spin-torque oscillator reservoir, in NeurIPS 2023 Workshop: Machine Learning with New Compute Paradigms ( https://openreview.net/forum?id=SL8VJMjOHU ).

  • K. Okamoto, N. Akashi, I. Obayashi, H. Kokubu, K. Nakajima, K. Senda, K. Tsuchiya, S. Aoi, Sudden change in fractality of basin boundary in passive dynamic walking, in Proceedings of The 11th International Symposium on Adaptive Motion of Animals and Machines (AMAM2023), pp. 194-195, 2023.

  • K. Nakano, K. Inoue, M. Gunji, H. Mochiyama, R. Niiyama, K. Nakajima, Y. Kuniyoshi, Kinesthetic Sensing Exploiting the Active Interaction between the Environment and an Ostrich-Neck-inspired Manipulator, in Proceedings of The 11th International Symposium on Adaptive Motion of Animals and Machines (AMAM2023), pp. 75-76, 2023. (Best Poster Presentation Award)

  • A. Fukuhara, K. Nakajima, Y. Masuda, G. Megu, K. Tadakuma, A. Ishiguro, Estimating the Body Stiffness during Quadrupedal Locomotion using the Flexible Shoulder as a Physical Reservoir, in Proceedings of The 11th International Symposium on Adaptive Motion of Animals and Machines (AMAM2023), pp. 59-60, 2023.

  • H. Sasaki, K. Kagaya, R. Terajima, K. Nakajima, Y. Kuniyoshi, Signatures of self-organized criticality in spontaneous walking behavior of Porcellio scaber, in Proceedings of The 11th International Symposium on Adaptive Motion of Animals and Machines (AMAM2023), pp. 170-171, 2023. (Future Scientist Award)

  • R. Sho, T. Yamagawa, H. Moribe, H. Ito, K. Nakajima, Speech recognition by chromatophores of squid via reservoir computing, in Proceedings of 2021 International Symposium on Micro-NanoMechatronics and Human Science (MHS), (in press)

  • M. Komatsu, T. Yaguchi, K. Nakajima, Differential Algebraic Method for Direct Evaluation of Computational Capabilities of Physical Reservoirs, in Proceedings of the 2019 International Symposium on Nonlinear Theory and its Applications (NOLTA2019), pp.187-190, 2019.

  • K. Nakajima, K. Inoue, Y. Kuniyoshi, S. Somlor, T. P. Tomo, A. Schmitz, Soft Keyboard: A Novel User Interface for Soft Devices, in Proceedings of International Symposium on Nonlinear Theory and its Applications (NOLTA2018), pp. 147-150, 2018.

  • K. Inoue, K. Nakajima, Y. Kuniyoshi, A Recipe for Designing Chaotic Itinerancy: Innate Training Approach, in Proceedings of International Symposium on Nonlinear Theory and its Applications (NOLTA2018), pp. 412-414, 2018.

  • R. Bernhardsgrütter, C. W. Senn, R. M. Füchslin, C. Jaeger, K. Nakajima, H. Hauser, Employing L-systems to Generate Mass-Spring Networks for Morphological Computing, in Proceedings of International Symposium on Nonlinear Theory and its Applications (NOLTA2014), pp. 168-171, 2014.

  • K. Nakajima, T. Li, H. Hauser, R. Pfeifer, Morphological Computation in a Silicone-based Soft Robotic Arm, in Proceedings of 2013 International Workshop on Soft Robotics and Morphological Computation (SoftRobot2013), P-49, 2013.

  • H. Sumioka, K. Nakajima, S. Ikemoto, K. Hosoda, R. Pfeifer, Quantification of Intrinsic Computational Power in Musculoskeletal System, in Proceedings of 2013 International Workshop on Soft Robotics and Morphological Computation (SoftRobot2013), P-29, 2013.

  • Q. Zhao, H. Sumioka, K. Nakajima, R. Pfeifer, Spine Dynamics as a Computational Source in Spine-driven Quadruped Locomotion, in Proceedings of 2013 International Workshop on Soft Robotics and Morphological Computation (SoftRobot2013), O-30, 2013.

  • T. Sandy, Q. Zhao, H. Sumioka, K. Nakajima, R. Pfeifer, Design of Quadruped Robot with Actuated Spine for Cheetah-like Locomotion, in Proceedings of 2013 International Workshop on Soft Robotics and Morphological Computation (SoftRobot2013), P-29, 2013.

  • T. Li, K. Nakajima, R. Pfeifer, Learning from the Octopus: Sensorimotor Control of Octopus-inspired Soft Robots, in Proceedings of 2013 International Workshop on Soft Robotics and Morphological Computation (SoftRobot2013), P-34, 2013.

  • K. Nakajima, T. Li, H. Hauser, R. Pfeifer, Muscular-Hydrostat Computers: Toward a novel control scheme for soft robots, in Proceedings of 2013 International Workshop on Soft Robotics and Morphological Computation (SoftRobot2013), O-29, 2013.

  • M. Hoffmann, N. Schmidt, K. Nakajima, F. Iida, R. Pfeifer, Perception, motor learning, and speed adaptation exploiting body dynamics: case studies in a quadruped robot, in Proceedings of the 5th International Symposium on Adaptive Motion of Animals and Machines (AMAM2011), pp. 39 – 40, 2011.

  • K. Nakajima, T. Li, R. Pfeifer, Timing and Behavioral Efficiency in Controlling a Soft Body: A Case Study in Octopus Reaching Behavior, in Proceedings of the 2nd International Conference on Morphological Computation (ICMC2011), pp. 132- 134, 2011.

  • T. Li, K. Nakajima, M. Cianchetti, Finding Structure in Deadtime, in Proceedings of the 2nd International Conference on Morphological Computation (ICMC2011), pp. 47- 49, 2011.

  • S. Miyashita, M. Göldi, K. Nakajima, Role of Morphology on Two Dimensional Magnetic Self-Assembly, in Proceedings of the 2nd International Conference on Morphological Computation (ICMC2011), pp. 57- 59, 2011.

  • K. Nakajima, T. Li, N. Kuppuswamy, R. Pfeifer, How to Harness the Dynamics of Soft Body: Timing Based Control of a Simulated Octopus Arm via Recurrent Neural Networks, in Proceedings of the 2nd European Future Technologies Conference and Exhibition 2011 (FET 11): Procedia Computer Science, Elsevier, pp. 246 – 247, 2011.

  • K. Nakajima, T. Li, N. Kuppuswamy, R. Pfeifer, Biologically inspired control of a simulated octopus arm via recurrent neural networks, in Proceedings of the 13th annual conference companion on Genetic and evolutionary computation (GECCO '11), ACM Press, pp. 21-22, 2011.

  • K. Nakajima, T. Ikegami, Considering the reconfiguration process of subjective temporal order by using recurrent neural networks,in Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems, MIT Press, pp.786 , 2008.

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Others

  • 中嶋浩平. ソフトロボット学での研究とその宿題. 日本ロボット学会誌, 42(6), 536-538, 2024.

  • 伊藤亜紗, 中嶋浩平. 制御の外側で身体に出会う—ロボットと障害. 日本ロボット学会誌, 42(1), 32-37, 2024.

  • 今井悠介, 常木澄人, 中嶋浩平, 谷口知大、有限温度におけるスピントルク発振器のエコーステート・プロパティ、2022年第69回応用物理学会春季学術講演会（口頭講演）、オンライン開催、2022年3月25日. 

  • 谷口知大, 今井悠介, 常木澄人, 中嶋 浩平、絶対零度におけるスピントルク発振器のエコーステート・プロパティ、2022年第69回応用物理学会春季学術講演会（口頭講演）、オンライン開催、2022年3月25日.  

  • 中島光雅, 井上克馬, 田仲顕至, 國吉康夫, 橋本俊和, 中嶋浩平、拡張DFA法による物理ニューラルネットの訓練とその光電実装、2022年第69回応用物理学会春季学術講演会（口頭講演）、オンライン開催、2022年3月23日.

  • 窪田 智之, 中嶋 浩平、物理リザバーの情報処理容量、2022年第69回応用物理学会春季学術講演会（口頭講演）、オンライン開催、2022年3月23日.

  • 明石望洋, 中嶋浩平, 柴山允瑠, 國吉康夫、機械機構による真乱数生成器、2022年日本物理学会第77回年次大会（口頭発表）、オンライン開催、2022年3月17日.

  • チャン クオック ホアン, 中嶋浩平、時間的量子トモグラフィーの学習、2022年日本物理学会第77回年次大会（口頭発表）、オンライン開催、2022年3月17日.

  • 井上克馬, 尾原颯, 國吉康夫, 中嶋浩平、BERTモデルにおける過渡カオスの存在、2022年日本物理学会第77回年次大会（口頭発表）、オンライン開催、2022年3月16日.

  • Q. H. Tran, T. Goto and K. Nakajima, Universal Approximation Property via Quantum Feature Maps, Quantum Techniques in Machine Learning 2021, Oral presentation, Tokyo, 9th Nov. 2021.

  • チャンクオックホアン、 中嶋浩平、 量子リザバーコンピューティングの新展開、電子情報通信学会誌（特集「量子機械学習」）、 vol. 104, No. 11, pp.1134-1141 (2021).

  • Tran Quoc Hoan, 中嶋 浩平, 高階量子リザバーコンピューティング，日本物理学会2021年秋季大会（口頭発表）, オンライン開催、2021年9月22日.

  • Tran Quoc Hoan, 中嶋 浩平, 時間的量子トモグラフィーの学習, 第82回応用物理学会秋季学術講演会（口頭講演）、オンライン開催、2021年9月10-13日.

  • 赤井恵, 浅井哲也, 中嶋浩平、学習する有機材料: リザバー計算に向けたニューラルネットワーク形成、応用物理 Vol. 90, No. 8, pp. 504–508, 2021.

  • 中嶋浩平、タコ腕コンピュータ～ソフトロボットにおける物理リザバー計算～、milsil (自然と科学の情報誌[ミルシル]、国立科学博物館)，Vol. 14, No. 4, pp. 6–8, 2021.

  • 西田三博、櫻井良、若尾泰通、明石望洋、南友菜、中嶋浩平、軟材料の内部ダイナミクスを利用した精密制御、油空圧技術 vol.59, no.12, pp.45-52 (2020).

  • 中嶋浩平、物理リザバー計算の射程—ソフトロボットを例に、システム/制御/情報(「システム工学を変革するソフトロボット学」特集号)，Vol. 63, No. 12, pp. 505–511, 2019.

  • 常木澄人、谷口知大、三輪真嗣、中嶋浩平、久保田均、スピントルク発振器を用いた物理リザバー計算、まぐね Vol.14, No.6 (2019).

  • 中嶋浩平、田中琢真、青柳富誌生、ダイナミクスによる情報処理―レザバー計算の最近の発展、日本物理学会誌 74巻5号（シリーズ「人工知能と物理学」）、pp.306-313（2019年5月）

  • 中嶋浩平、竹井邦晴、ソフトロボットにおけるPhysical Reservoir Computing、日本機械学会誌 122巻1205号（特集「ソフトロボット学」）、pp.28-29（2019年4月）

  • 枡井啓貴, 中嶋浩平, 青柳富誌生, Permutation分布に基づくコンセプトドリフトの検出, 日本物理学会第74回年次大会(ポスター発表)、九州大学（伊都キャンパス）、2019年3月14-17日.

  • Sumito Tsunegi, Tomohiro Taniguchi, Shinji Miwa, Kohei Nakajima, Kay Yakushiji, Akio Fukushima, Shinji Yuasa, Hitoshi Kubota, The effect of voltage on reservoir computing performance of a spin torque oscillator, 応用物理学会春季学術講演会（ポスター発表）、東京工業大学大岡山キャンパス（2019年3月9-12日）. (Poster award)

  • 常木澄人, 谷口知大, 三輪真嗣, 中嶋浩平, 薬師寺啓, 福島章雄, 湯浅新治, 久保田均, スピントルク発振素子の短時間記憶容量、応用物理学会春季学術講演会（ポスター発表）、東京工業大学大岡山キャンパス（2019年3月9-12日）.

  • 中嶋浩平、井上克馬、國吉康夫、Sophon SOMLOR、Tito Pradhono TOMO、Alexander SCHMITZ、柔らかいマテリアルの変形を用いた情報処理、電子情報通信学会誌102巻2号（小特集「リザバーコンピューティング」）、pp.121-126（2019年2月）

  • 中嶋浩平, 春名太一, Spatiotemporal dynamics driven by maximization of local information transfer, 日本生物物理学会第56回年会（ポスター発表）、岡山大学, Japan (17 Sept. 2018).

  • 春名太一, 中嶋浩平, Maximizing Local Information Transfer in Boolean Networks, 日本生物物理学会第56回年会（ポスター発表）、岡山大学, Japan (17 Sept. 2018).

  • 中嶋浩平、やわらかい身体のダイナミクスに計算をアウトソースする、人工知能33巻5号（特集「自然界に見いだす数物構造を利用した知的情報処理」）、pp.570-576（2018年9月）

  • 窪田智之,中嶋浩平,高橋宏知, 単一Izhikevichニューロンの情報処理能力, 医用・生体工学研究会「神経工学＆バイオサイバネティクス」、東京大学駒場キャンパス, Japan (20 March 2018).

  • 古田大志, 藤井啓祐, 中嶋浩平, 常木澄人, 久保田均, 後藤穣, 鈴木義茂, 三輪真嗣, Macro-magnetic simulation of reservoir computing utilizing spin-dynamics in magnetic tunnel junctions, 第65回応用物理学会春季学術講演会, 早稲田大学, 東京 (18 March 2018).

  • 山中 悠希，谷口 隆晴，中嶋 浩平, 質点ばね系を用いたレザバーコンピューティングの数値実験, 応用数理 学生・若手研究者のための研究交流会, 大阪大学工学部吹田キャンパス, (14 March 2018).

  • 古田大志, 藤井啓祐, 中嶋浩平, 後藤穣, 鈴木義茂, 三輪真嗣, Brain-like computing utilizing spin dynamics in magnetic tunnel junction, 平成29年度スピン変換年次報告会, 京都大学桂キャンパス, 京都 (12 March 2018).

  • M. Negoro, K. Fujii, K. Nakajima, K. Mitarai, M. Kitagawa, Solid-state NMR implementation of quantum reservoir computing,    APS March Meeting 2018, Los Angeles, California (8 March 2018).

  • M. Negoro, K. Fujii, K. Nakajima, K. Mitarai, M. Kitagawa, Implementation of quantum reservoir computing using scalable nuclear spin qubit system in a molecular solid, IEICE Technical Report, 2017.

  • K. Fujii, K. Nakajima, M. Negoro, K. Kitagawa, K. Mitarai, Performance analysis of quantum reservoir computing with an NMR ensemble quantum system, JPS 2017 Autumn Meeting, Iwate University, Japan (24 Sep. 2017).

  • M. Negoro, K. Fujii, K. Nakajima, K. Kitagawa, K. Mitarai, Quantum reservoir computing with an NMR ensemble quantum system, JPS 2017 Autumn Meeting, Iwate University, Japan (24 Sep. 2017).

  • K. Nakajima, K. Fujii, M. Negoro, Boosting computational power through spatial multiplexing in quantum reservoir computing, JPS 2017 Autumn Meeting, Iwate University, Japan (24 Sep. 2017).

  • K. Nakajima, Physical reservoir computingの展開：タコ足計算機から流体計算機まで, 第16回情報科学技術フォーラム FIT2017展示会, 東京大学 本郷キャンパス2号館2階フォーラム, Tokyo, Japan (12-14 Sep. 2017).

  • H. Masui, K. Nakajima, K. Kitajo, T. Aoyagi, Measuring Information Transfer in Nonstationary Multivariate Time Series Driven by Instantaneous Inputs. JPS 2017 Spring Meeting, Osaka, Japan (17-20 Mar. 2017).

  • H. Iwade, K. Nakajima, T. Tanaka, T. Aoyagi, Recurrent infomax improves the memory capacity of recurrent neural network. JPS 2017 Spring Meeting, Osaka, Japan (17-20 Mar. 2017).

  • H. Iwade, K. Nakajima, T. Tanaka, T. Aoyagi, Recurrent infomax が input-driven recurrent neural network の計算能力へ及ぼす影響, The 19th Information-Based Induction Sciences Workshop (IBIS2016), D2-47, Kyoto, Japan (16-19 Nov. 2016).

  • K. Fujii, K. Nakajima, Quantum Reservoir Computing -- harnessing quantum dynamics for machine learning --, IEICE Technical Report, 2016.

  • K. Fujii, K. Nakajima, Quantum reservoir computing, JPS 2016 Spring Meeting, Sendai, Miyagi, Japan (22 Mar. 2016).

  • K. Nakajima, T. Aoyagi, Fluid timer: encoding temporal information as spatial information, JPS 2016 Spring Meeting, Sendai, Miyagi, Japan (21 Mar. 2016).

  • K. Nakajima, T. Aoyagi, The Memory Capacity of a Physical Liquid State Machine, IEICE Technical Report vol.115. No.300, pp.109-112, 2015.

  • K. Nakajima, T. Aoyagi, Real-time Computation at the Water Surface, JPS 2015 Autumn Meeting, Suita-shi, Osaka, Japan (16-19, September, 2015).

  • A. Miyata, K. Nakajima, T. Aoyagi, Input-induced bifurcations and their relevance to information processing capacity, JPS 2015 Autumn Meeting, Suita-shi, Osaka, Japan (16-19, September, 2015).

  • K. Nakajima, T. Chawanya, T. Aoyagi, Information Processing Capacity of Strange Non-chaotic Attractors, JPS 2015 Autumn Meeting, Suita-shi, Osaka, Japan (16-19, September, 2015).

  • K. Nakajima, T. Aoyagi, Physical liquid state machine: Real-time computation at the water surface, The 25th Annual Conference of Japanese Neural Network Society (JNNS 2015), Chofu, Tokyo, Japan (2-4, September, 2015). (The 25th Annual Conference Award by Japanese Neural Network Society)

  • H. Hauser, R. M. Füchslin, K. Nakajima, Morphological Computation - The Body as a Computational Resource, In E-book on Opinions and Outlooks on Morphological Computation (Edited by H. Helmut, R. M. Füchslin, R. Pfeifer), Chapter 20, pp. 226--244, 2014. ISBN: 978-3033045156

  • K. Nakajima, T. Haruna, Temporal symbolic transfer entropy: Measuring information transfer in real-time, The 10th AIMS Conference on Dynamical Systems, Differential Equations and Applications, Madrid, Spain (July 7 - 11, 2014).

  • K. Nakajima, T. Haruna, Local information dynamics via permutation-information theoretic approach, The 9th AIMS Conference on Dynamical Systems, Differential Equations and Applications, Orlando, Florida, USA (July 1 - 5, 2012).

  • K. Nakajima, T. Ikegami, Local and global interaction in sensorimotor flow: constant collapse and gluing process in flow construction, The tenth International Conference on the SIMULATION OF ADAPTIVE BEHAVIOR (SAB 2008), Osaka, Japan (7-12, July, 2008).

  • K. Nakajima, Algebraic consideration of embodied sensorimotor coupling system, ESF-JSPS Frontier Science Conference Series for Young Researchers, Experimental Cognitive Robotics, Shonan-Village, Japan (9-15 March 2008).

  • K. Nakajima, T. Ikegami, A new one-dimensional map which generates 1/f spectrum, 5th East Asian Biophysics Symposium and 45th Annual Meeting of the Biophysical Society of Japan, Okinawa (November 2006).

  • Q-zak, K. Nakajima, S. Shinkai, K. I-to, Dynamical changing system parameter in one-dimensional map, 5th East Asian Biophysics Symposium and 45th Annual Meeting of the Biophysical Society of Japan, Okinawa (November 2006).

  • Y. Hojo, K. Nakajima, H. Nakanishi, S. Higo, H. Ishii, H. Mukai, J. H.Morrison, W. G.M.Janssen, S. Kominami, N. Harada, T. Kimoto, S. Kawato, Synthesis of brain steroids and localization of P450s in the hippocampal synapses, 5th East Asian Biophysics Symposium and 45th Annual Meeting of the Biophysical Society of Japan, Okinawa (November 2006).

  • N. Inoue, M. O.-Ikeda, N. Takada, K. Nakajima, S. Kawato, Non-genomic rapid effects of estradiol, a xenoestogen and androgen on hippocampal synapses, 5th East Asian Biophysics Symposium and 45th Annual Meeting of the Biophysical Society of Japan, Okinawa (November 2006).

  • Y. Hojo, T. Enami, K. Nakajima, A. Furukawa, H. Ishii, H. Mukai, J. H. Morrison, W. G. M. Janssen, H. Tamura, S. Kominami, N. Harada, T. Kimoto, S. Kawato, Synthesis of Brain Neurosteroids and Localization of P450s in the Hippocampal Neurons of Adult Rats, 3rd International Meeting STEROIDS AND NERVOUS SYSTEM, Turin, Italy (February 2005).

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Books

  • Koichi Suzumori, Kenjiro Fukuda, Ryuma Niiyama, Kohei Nakajima, The Science of Soft Robots---Design, Materials and Information Processing, Springer Singapore, 2023. ISBN: 978-981-19-5173-2 ( info: https://link.springer.com/book/10.1007/978-981-19-5174-9)

  • 鈴森 康一、中嶋 浩平、新山 龍馬、舛屋 賢 編著、ソフトロボット学入門 -基本構成と柔軟物体の数理-、オーム社（2023年1月19日）. ISBN: 978-4-274-22998-5 (info: https://www.rsj.or.jp/pub/text/p20230119.html )

  • Kohei Nakajima, Ingo Fischer, Reservoir Computing---Theory, Physical Implementations, and Applications, Springer Singapore, 2021. ISBN: 978-981-13-1686-9 ( info: https://link.springer.com/book/10.1007/978-981-13-1687-6)

  • 『現れる存在―脳と身体と世界の再統合』（池上高志, 森本元太郎監訳, 7章分担翻訳 ）, NTT出版（2012年11月）. ISBN: 978-4757102675

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Thesis

  • 2009.03 Docter thesis: “Theory of Active Cognition Based on Sensorimotor Coupling System.”
    (Jury: Prof. Takashi Ikegami, Prof. Jun Tani, Prof. Gentaro Taga, Prof. Kazuhiro Ueda, and Prof. Kazuo Hiraki)

  • 2006.03 Master thesis: “Syntheses and Effects of Neurosteroids in Hippocampus”

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