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JOURNAL PAPERS

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  1. Natasue Yoshimura, Kaito Umetsu, Alessandro Tonin, Yasuhisa Maruyama, Kyosuke Harada, Aygul Rana, Gowrishankar Ganesh, Ujwal Chaudhary, Yasuharu Koike, Niels Birbaumer, Binary semantic classification using cortical activation with Pavlovian-conditioned vestibular responses in healthy and locked-in individuals, Cerebral Cortex Communications, pp. 1-13, in press, (2021).

  2. ​Yuxi Shi, Gowrishankar Ganesh, Hideyuki Ando, Yasuharu Koike, Eiichi Yoshida, Natsue Yoshimura, Galvanic vestibular stimulation-based prediction error decoding and channel optimization, International Journal of Neural Systems, 2150034, DOI: 10.1142/S0129065721500349, pp. 1-15, (2021).

  3. Zixuan Qin, Sorawit Stapornchaisit, Zixun He, Natsue Yoshimura, Yasuharu Koike, Multi-joint angles estimation of forearm motion using a regression model, Frontiers in Neurorobotics, 15, 685961, DOI: 10.3389/fnbot.2021.685961, pp. 1-18, (2021).

  4. Yuanhao Li, Badong Chen, Natsue Yoshimura, Yasuharu Koike, Restricted Minimum Error Entropy Criterion for Robust Classification, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2021.3082571, pp. 1-14, (2021).

  5. Laura Alejandra Martinez-Tejada, Alex Puertas-Gonzalez, Natsue Yoshimura, Yasuharu Koike, Exploring EEG characteristics to identify emotional reactions under videogame scenarios, Brain Sciences, 11(3), 378, DOI: 10.3390/brainsci11030378, pp. 1-25, (2021).

  6. Hiroyuki Kambara, Hiromu Ogawa, Atsushi Takagi, Duk Shin, Natsue Yoshimura, Yasuharu Koike, Modulation of wrist stiffness caused by adaptation to stochastic environment, Advanced Robotics, DOI: 10.1080/01691864.2021.1900913, pp. 1-17, (2021)

  7. Hiroyuki Kambara, Atsushi Takagi, Haruka Shimizu, Toshihiro Kawase, Natsue Yoshimura, Nicolas Schweighofer, Yasuharu Koike, Computational reproductions of external force field adaption without assuming desired trajectories, Neural Networks, 139, DOI: 10.1016/j.neunet.2021.01.030, pp. 179-198, (2021).

  8. Supat Saetia, Natsue Yoshimura, Yasuharu Koike, Constructing brain connectivity model using causal network reconstruction approach, Frontiers in Neuroinformatics, 15, 619557, DOI: 10.3389/fn-inf.2021.619557, pp. 1-12, (2021). 

  9. Wataru Akashi, Hiroyuki Kambara, Yousuke Ogata, Yasuharu Koike, Ludovico Minati, Natsue Yoshimura, Vowel sound synthesis from electroencephalography during listening and recalling, Advanced Intelligent Systems, DOI: 10.1002/aisy.202000164, pp. 1-9, (2021).

  10. Mohamed Mounir Tellache, Hiroyuki Kambara, Yasuharu Koike, Makoto Miyakoshi, Natsue Yoshimura, Investigating neural representation of finger-movement directions using electroencephalography independent components, Journal of Biomedical Science and Engineering, Accepted, (2021).

  11. Maruyama Y, Yoshimura N*, Rana A, Malekshahi, A, Tonin A, Jaramillo-Gonzalez A, Birbaumer N, Chaudhary U, Electroencephalography of completely locked-in state patients with amyotrophic lateral sclerosis, Neuroscience Research, 162, DOI: 10.1016/j.neures.2020.01.013, pp. 45-51, (2021).

  12. Natsue Yoshimura, Hayato Tsuda, Domenico Aquino, Atsushi Takagi, Yousuke Ogata, Yasuharu Koike, Ludovico Minati, Age-related decline of sensorimotor integration influences resting-state functional brain connectivity, Brain Sciences, 10(966), DOI:10.3390/brainsci10120966, pp.1-14, (2020).

  13. Kim Yeongdae, Sorawit Stapornchaisit, Makoto Miyakoshi, Natsue Yoshimura, Yasuharu Koike, The effect of ICA and non-negative matrix factorization analysis for EMG signals recorded from multi-channel EMG sensors, Frontiers in Neuroscience, 14, 600804, DOI: 10.3389/fnins.2020.600804, pp. 1-10, (2020).

  14. Samer Houri, Motoki Asano, Hiroshi Yamaguchi, Natsue Yoshimura, Yasuharu Koike, Ludovico Minati, Generic rotating-frame-based approach to chaos generation in nonlinear micro-and nanoelectromechanical system resonators, Physical Review Letters, 125(17), p. 174301, (2020).

  15. Shunki Kitsunai, Woorim Cho, Chihiro Sano, Supat Saetia, Zixuan Qin, Yasuharu Koike, Mattia Frasca, Natsue Yoshimura, Ludovico Minati, Generation of diverse insect-like gait patterns using networks of coupled Rossler systems, Chaos: An Interdisciplinary Journal of Nonlinear Science, 30, DOI: 10.1063/5.0021694, pp. 1-13, (2020). 

  16. Yasuhisa Maruyama, Yousuke Ogata, Laura Alejandra Martinez-Tejada, Yasuharu Koike, Natsue Yoshimura, Independent components of EEG activity correlating with emotional state, Brain Sciences, 10(669), DOI: 10.3390/brainsci10100669, pp. 1-16, (2020).

  17. Atsushi Takagi, Ryoga Furuta, Supat Saetia, Yasuharu Koike, Natsue Yoshimura, Ludovico Minati, Behavioral and physiological correlates of kinetically tracking a chaotic target, PLoS ONE, 2(2), DOI: 10.1371/journal.pone.0239471, pp. 1-19, (2020).

  18. Yasuharu Koike, Kim Yeongdae, Sorawit Stapornchaisit, Zixuan Qin, Toshihiro Kawase, Natsue Yoshimura, Development of multi-sensor array electrodes for measurement of deeper muscle activation, Sensors and Materials, 32(3), DOI: 10.18494/SAM.2020.2636, pp. 959-966, (2020).

  19. Supat Saetia, Fernando Rosas, Yousuke Ogata, Natsue Yoshimura, Yasuharu Koike, Comparison of resting-state functional and effective connectivity between default mode network and memory encoding related areas, Journal of Neuroscience and Neurological Disorders, 4(1), DOI: 10.29328/journal.jnnd.1001031, pp. 29-37, (2020).

  20. Martinez-Tejada L.A.*, Maruyama Y, Yoshimura N, Koike Y, Analysis of personality and EEG features in emotion recognition using machine learning techniques to classify arousal and valence labels, Machine learning & knowledge extraction, Vol. 2(2), DOI: 10.3390/make2020007, pp. 99-124 (2020).

  21. Paweł Oświęcimka*, Stanisław Drożdż, Mattia Frasca, Robert Gębarowski, Natsue Yoshimura, Luciano Zunino, Ludovico Minati, Wavelet-based discrimination of isolated singularities masquerading as multifractals in detrended fluctuation analyses, Nonlinear Dynamics, Vol. 100, DOI: 10.1007/s11071-020-05581-y, pp. 1689-1704 (2020).

  22. Minati L*, Tokgoz K.K, Frasca M, Koike Y, Iannacci J, Yoshimura N, Masu K, Ito H, Distributed sensing via inductively coupled single-transistor chaotic oscillators: a new approach and its experimental proof-of-concept, IEEE Access, Vol. 8, DOI: 10.1109/ACCESS.2020.2976139, pp. 36536-36555 (2020).

  23. Kim H, Yoshimura N, Koike Y*, Investigation of delayed response during real-time cursor control using electroencephalography, Journal of Healthcare Engineering, Vol. 2020, Article ID 1418437, DOI:10.1155/2020/1418437, pp. 1-9, (2020).

  24. Kim Y, Stapornchaisit S, Kambara H, Yoshimura N, Koike Y*, Muscle Synergy and musculoskeletal model-based continuous multi-dimensional estimation of wrist and hand motions, Journal of Healthcare Engineering, Vol. 2020, Article ID 5451219, DOI:10.1155/2020/5451219, pp. 1-13, (2020).

  25. Piovanelli E, Piovesan D, Shirafuji S, Su B, Yoshimura N, Ogata Y, and Ota J*, Towards a simplified estimation of muscle activation pattern from MRI and EMG using electrical network and graph theory, Sensors, 20, 724, DOI:10.3390/s.20030724, pp. 1-20, (2020).

  26. Minati L, Ito H, Perinelli A, Ricci L, Faes L, Yoshimura N, Koike Y, Frasca M, Connectivity influences on nonlinear dynamics in weakly-synchronized networks: Insights from Rossler systems, electronic chaotic oscillators, model and biological neurons, IEEE Access, 7, pp. 174793-174821, (2019).

  27. Kim H, Yoshimura N, Koike Y*, Characteristics of kinematic parameters in decoding intended reaching movements using electroencephalography (EEG), Frontiers in Neuroscience, 13:1148. DOI:10.3389/fnins.2019.01148, pp. 1-13, (2019).

  28. Stapornchaisit S, Kim YD, Takagi A, Yoshimura N, Koike Y*, Finger Angle estimation from Array EMG system using linear regression model with Independent Component Analysis, Frontiers in Neurorobotics, 13:75. DOI:10.3389/fnbot.2019.00075, pp. 1-12, (2019).

  29. Marcuzzo S, Terragni B, Bonanno S, Isaia D, Cavalcante P, Cappeletti C, Ciusani E, Rizzo A, Regalia G, Yoshimura N, Ugolini GS, Rasponi M, Bechi G, Mantegazza M, Mantegazza R, Bernasconi P, Minati L*, Hyperexcitability in cultured cortical neuron networks from the G93A-SOD1 amyotrophic lateral sclerosis model mouse and its molecular correlates, Neuroscience, Vol. 416, pp. 88-99, DOI: 10.1016/j.neuroscience.2019.07.041, September 15, (2019).

  30. Kim H, Yoshimura N, Koike Y*, Classification of Movement Intention Using Independent Components of Premovement EEG, Frontiers in Human Neuroscience, 13:63. DOI:10.3389/fnhum.2019.00063, pp. 1-10, (2019).

  31. Minati L, Frasca M, Yoshimura N, Ricci L, Oświecimka P, Koike Y, Masu K, Ito H, Current-sratved cross-coupled CMOS inverter rings as versatile generators of chaotic and neural-like dynamics over multiple frequency decades, IEEE Access, DOI: 10.1109/ACCESS.2019.2912903, Vol. 7, pp. 54638-54657, (2019).

  32. Minati L, Yoshimura N, Frasca M, Drozdz S, and Koike Y, Warped phase coherence: An empirical synchronization measure combining phase and amplitude information, Chaos, 29(2):021102, DOI: 10.1063/1.5082749, pp. 1-21, (2019).

  33. Shin D, Kambara H, Yoshimura N, and Koike Y, Control of a Robot Arm Using Decoded Joint Angles from Electrocorticograms in Primate, Computational Intelligence and Neuroscience, 2580165, pp. 1-8, DOI: 10.1155/2018/2580165, (2018).

  34. Mejia Tobar A, Ogata Y, Kita K, Nakamura T, Kambara H, Hanakawa T, Koike Y, and Yoshimura N*, Effect of the EEG sensor number on the current-source decoder performance based on a variational Bayesian method (VBMEG), International Journal of Engineering Research and Allied Sciences (IJERAS), 3(5), pp. 25-29, (2018).

  35. Ganesh G, Nakamura K, Saetia S, Mejia Tobar A, Yoshida E, Ando H, Yoshimura N, Koike Y, Utilizing sensory prediction errors for movement intention decoding: a new methodology, Science Advances, 4(5), eaaq0183, DOI: 10.1126/sciadv.aaq0183, pp. 1-8, (2018).

  36. Minati L, Frasca M, Yoshimura N, and Koike Y, Versatile locomotion control of a hexapod robot using a hierarchical network of non-linear oscillator circuits, IEEE Access, DOI: 10.1109/ACCESS.2018.2799145, Vol. 4, pp. 1-24, (2018).

  37. Mejia Tobar A, Hyoudou R, Kita K, Nakamura T, Kambara H, Ogata Y, Hanakawa T, Koike Y, and Yoshimura N*, Decoding of ankle flexion and extension from cortical current sources estimated from non-invasive brain activity recording methods, Frontiers in Neuroscience, 11(733), DOI: 10.3389/fnins.2017.00733, pp. 1-12, (2018).

  38. Yoshimura N*, Tsuda H, Kawase T, Kambara H, and Koike Y, Decoding of finger movement in humans using synergy of EEG cortical current signals, Scientific Reports, 7(11382), DOI: 10.1038/s41598-017-09770-5, pp. 1-11, (2017).

  39. Yoshimura N*, Koga O, Katsui Y, Ogata Y, Kambara H, and Koike Y, Decoding of emotional responses to user-friendly computer interfaces vis electroencephalography signals, ACTA IMEKO, 6(2), DOI: http://dx.doi.org/10.21014/acta_imeko.v6i2.383, pp. 93-98, (2017).

  40. Nakanishi Y, Yanagisawa T, Shin D, Kambara H, Yoshimura N, Tanaka M, Fukuma R, Kishima H, Hirata M, and Koike Y, Mapping ECoG channel contributions to trajectory and muscle activity prediction in human sensorimotor cortex, Scientific Reports, 7(45486), DOI: 10.1038/srep45486, pp. 1-13, (2017).

  41. Minati L, Yoshimura N, and Koike Y, Hybrid control of a vision-guided robot arm by EOG, EMG, EEG biosignals and head movement acquired via a consumer-grade wearable device, IEEE Access, DOI: 10.1109/ACCESS.2017.2647851, Vol. 4, pp. 9528-9541 (2017).

  42. Kawase T, Yoshimura N*, Kambara H, and Koike Y, Controlling an electromyography-based power-assist device for the wrist using electroencephalography cortical currents, Advanced robotics, DOI: 10.1080/01691864.2016.1215935, Vol. 31(1-2), pp. 88-96 (2016).

  43. Yoshimura N*, Nishimoto A, Belkacem AN, Shin D., Kambara H, Hanakawa T, and Koike Y, Decoding of covert vowel articulation using electroencephalography cortical currents, Frontiers in Neuroscience, 10(175), pp. 1-15, (2016).

  44. Kalanyu Z, Shin D, Kambara H, Yoshimura N, and Koike Y, Individual weight perception from motion on a slope, Scientific reports, 6:25432, pp. 1-11, (2016).

  45. Belkacem AN, Saetia S, Kalanyu Z, Shin D, Kambara H, Yoshimura N, Berrached N, and Koike Y, Real-time control of a video game using eye movements and two temporal EEG sensors, Computational Intelligence and Neuroscience, 653639, pp. 1-10, (2015).

  46. Belkacem AN, Shin D, Kambara H, Yoshimura N, and Koike Y, Online classification algorithm for eye-movement-based communication systems using two-temporal EEG sensors, Biomedical Signal Processing and Control, 16, pp. 40-47, (2015).

  47. Kalanyu Z, Shin D, Yoshimura N, Kambara H, and Koike Y, Advanced Mobile Security System Operated by Bioelectrical Sensor, International Journal of Security and Its Applications, 8(4), pp. 139-150, (2014).

  48. Shin D, Nakanishi Y, Chen C, Kambara H, Yoshimura N, and Koike Y, Decoding of kinetic and kinematic information from electrocorticograms in sensorimotor cortex: a review, International Journal of Neurorehabilitation, 1(1), 1:102, pp.1-6, (2014).

  49. Yoshimura N*, Jimura K, DaSalla CS, Shin D, Kambara H, Hanakawa T, and Koike Y, Dissociable neural representation of wrist motor coordinate frames in human motor cortices, Neuroimage, 97, pp. 53-61, (2014).

  50. Tsukamoto K, Kaneoya T, Mano W, Kambara H, Yoshimura N, and Koike Y, Identity authentication based on musculoskeletal model using surface electromyography, The IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Japanese Edition), J97-A[11], pp. 672-682, (2014).

  51. Nakanishi Y, Yanagisawa T, Shin D, Chen C, Kambara H, Yoshimura N, Fukuma R, Kishima H, Hirata M, and Koike Y, Decoding fingertip trajectory from electrocorticographic signals in humans, Neuroscience Research, 85, pp. 20-27, (2014).

  52. Chen C, Shin D, Watanabe H, Nakanishi Y, Kambara H, Yoshimura N, Nambu A, Isa T, Nishimura Y, and Koike Y, Decoding grasp force profile from electrocorticography signals in non-human primate sensorimotor cortex, Neuroscience Research, 83, pp. 1-7, (2014).

  53. Shin D, Kambara H, Yoshimura N, Kang Y, and Koike Y, Control of a brick-breaking game using electromyogram, International Journal of Engineering and Technology, 6(2), pp. 128-131, (2014).

  54. Belkacem AN, Hirose H, Yoshimura N, Shin D, Sato M, and Koike Y, Classification of four eye-directions from EEG signals for eye-movement-based communication systems, Journal of Medical and Biological Engineering, 34(6), pp. 581-588, (2014).

  55. Koike Y, Kambara H, Yoshimura N, and Shin D, Analyses of movements and postures, The Japanese Journal of Occupational Therapy, 47(6), pp. 492-496, (2013).

  56. Nakanishi Y, Yanagisawa T, Shin D, Fukuma R, Chen C, Kambara H, Yoshimura N, Hirata M, Yoshimine T, and Koike Y, Prediction of three-dimensional arm trajectories based on ECoG signals recorded from human sensorimotor cortex, PLoS ONE, 8(8):e72085, pp.1-9, (2013).

  57. Kambara H, Shin D, Kawase T, Yoshimura N, Akahane K, Sato M, and Koike Y, The effect of temporal perception on weight perception, Frontiers in psychology, 4(40), pp.1-14, (2013).

  58. Shin D, Katayama A, Kim K, Kim J, Yoshimura N, Kambara H, Koike Y, A virtual instrument system operated by electromyographic signals, Information-Tokyo, 16(5), pp.3275-3285, (2013).

  59. Chen C, Shin D, Watanabe H, Nakanishi Y, Kambara H, Yoshimura N, Nambu A, Isa T, Nishimura Y, and Koike Y, Prediction of hand trajectory from electrocorticography signals in primary motor cortex, PLoS One, 8(12), e83534 (2013).

  60. Yoshimura N*, DaSalla CS, Hanakawa T, Sato M, and Koike Y, Reconstruction of flexor and extensor muscle activities from electroencephalography cortical currents, Neuroimage, 59, pp. 1324-1337, (2012).

  61. Koike Y, Kawase T, Shin D, Kambara H, Yoshimura N, BMI and motor control, The Japanese Journal of Rehabilitation Medicine, 49(10), pp. 715-719, (2012).

  62. Tamura T, Horiuchi D, Chen YC, Sone M, Miyashita T, Saitoe M, Yoshimura N, Chiang AS, Okazawa H, Drosophila PQBP1 regulated learning acquisition at projection neurons in aversive olfactory conditioning, Journal of Neuroscience., 2010 Oct 20; 30(42): 14091-101, (2010).

  63. Shiwaku H, Yoshimura N, Tamura T, Sone M, Ogishima S, Watase K, Tagawa K, and Okazawa H, Supression of the novel ER protein Maxer by mutant ataxin-1 in Bergman glia contributes to non-cell-autonomous toxicity, The EMBO Journal, 29(14), pp.2446-2460, (2010).

  64. Yoshimura N*, and Itakura N, A Transient VEP-based real-time Brain-Computer Interface using non-direct gazed visual stimuli, Electromyography and clinical neurophysiology, 49, pp.323-335, (2009).

  65. Ito H, Yoshimura N, Kurosawa M, Ishii S, Nukina N, and Okazawa H, Knock-down of PQBP1 impairs anxiety-related cognition in mouse, Human Molecular Genetics, 18(22), pp.4239-4254, (2009).

  66. Yoshimura N*, and Itakura N, Study on EEG-based Brain-Computer Interface using Transient VEP, Transactions of the Japanese Society for Medical and Biological Engineering, 46(2), pp.201-211, (2008).

  67. Yoshimura N*, and Itakura N, Study on Transient VEP-based Brain-Computer Interface using non-direct gazed visual stimuli., Electromyography and clinical neurophysiology, 48, pp.43-51 (2008).

  68. Yoshimura N, Horiuchi D, Shibata M, Saitoe M, Qi ML, and Okazawa H, Expression of human PQBP-1 in Drosophila impairs long-term memory and induces abnormal courtship, FEBS Letters, 580(9), pp.2335-2340, (2006).

  69. Qi ML, Tagawa K, Enokido Y, Yoshimura N, Wada Y, Watase K, Ishiura S, Kanazawa I, Botas J, Saitoe M, Wanker EE, and Okazawa H, Proteome analysis of soluble nuclear proteins reveals that HMGB1/2 suppress genotoxic stress in polyglutamine diseases., Nature Cell Biology, Apr.9(4), pp.402-14 (2007).

  70. Hoshino M, Qi ML, Yoshimura N, Miyashita T, Tagawa K, Wada Y, Enokido Y, Marubuchi S, Harjes P, Arai N, Oyanagi K, Blandino G, Sudol M, Rich T, Kanazawa I, Wanker EE, Saitoe M, and Okazawa H, Transcriptional repression induces a slowly progressive atypical neuronal death associated with changes of YAP isoforms and p73., Journal of Cell Biology, 172(4), pp.589-604 (2006).

  71. Qi Y, Hoshino M, Wada Y, Marubuchi S, Yoshimura N, Kanazawa I, Shinomiya K, and Okazawa H, PQBP-1 is expressed predominantly in the central nervous system during development, European Journal of Neurosciences, 22(6), pp.1277-1286 (2005).

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