Publications

[From our laboratory] 
  1. Oosugi, N., Kitajo, K., Hasegawa, N., Nagasaka, Y., Okanoya, K., & Fujii, N. (2017). A new method for quantifying the performance of EEG blind source separation algorithms by referencing a simultaneously recorded ECoG signal. Neural Networks, 93, 1-6.
  2. Oosugi, N., Yanagawa, T., Nagasaka, Y., & Fujii, N. (2016). Social Suppressive Behavior Is Organized by the Spatiotemporal Integration of Multiple Cortical Regions in the Japanese Macaque. PloS one, 11(3), e0150934.
  3. Chao, Z. C., Nagasaka, Y., & Fujii, N. (2015). Cortical network architecture for context processing in primate brain. eLife, 4, e06121.
  4. Komatsu, M., Takaura, K., & Fujii, N. (2015). Mismatch negativity in common marmosets: Whole-cortical recordings with multi-channel electrocorticograms. Scientific reports, 5, 15006.
  5. Yanagawa, T., Chao, Z. C., Hasegawa, N., & Fujii, N. (2013). "Large-Scale Information Flow in Conscious and Unconscious States: an ECoG Study in Monkeys." PloS one, 8(11), e80845.
  6. Chao ZC, Fujii N (2013). "Mining spatio-spectro-temporal cortical dynamics: a guideline for offline and online electrocorticographic analyses." in Advanced Methods in Neuroethological Research, Hiroto Ogawa and Kotaro Oka, editors, Springer, 39-55.
  7. Shimoda K, Nagasaka Y, Chao ZC, Fujii N (2012). "Decoding continuous three-dimensional hand trajectories from epidural electrocorticographic signals in Japanese macaques." J. Neural Eng. 9:036015.
  8. Nagasaka Y, Shimoda K, Fujii N (2011). "Multidimensional recording (MDR) and data sharing: an ecological open research and educational platform for neuroscience." PLOS ONE 6(7):e22561.
  9. Chao ZC, Nagasaka Y, Fujii N (2010). "Long-term asynchronous decoding of arm motion using electrocorticographic signals in monkeys." Frontiers in Neuroengineering 3:3. doi:10.3389/fneng.2010.00003.

[From other laboratories] 
  1. Schaeffer, M. C., & Aksenova, T. (2017). Switching Markov decoders for asynchronous trajectory reconstruction from ECoG signals in monkeys for BCI applications. Journal of Physiology-Paris.
  2. Moon, J. Y., Kim, J., Ko, T. W., Kim, M., Iturria-Medina, Y., Choi, J. H., ... & Lee, U. (2017). Structure Shapes Dynamics and Directionality in Diverse Brain Networks: Mathematical Principles and Empirical Confirmation in Three Species. Scientific Reports, 7.
  3. Shimono, M., & Hatano, N. (2017). Communicability Systematically Explains Transmission Speed In A Cortical Macro-Connectome. bioRxiv, 117713.
  4. Engel, S., Aksenova, T., & Eliseyev, A. (2017, February). Kernel-Based NPLS for Continuous Trajectory Decoding from ECoG Data for BCI Applications. In International Conference on Latent Variable Analysis and Signal Separation(pp. 417-426). Springer, Cham.
  5. Wen, H., & Liu, Z. (2016). Separating fractal and oscillatory components in the power spectrum of neurophysiological signal. Brain topography, 29(1), 13-26.
  6. Schaeffer, M. C., & Aksenova, T. (2016, September). Hybrid Trajectory Decoding from ECoG Signals for Asynchronous BCIs. In International Conference on Artificial Neural Networks (pp. 288-296). Springer International Publishing.
  7. Padovani, E. C. (2016). Characterization of Large Scale Functional Brain Networks During Ketamine-Medetomidine Anesthetic Induction. arXiv preprint arXiv:1604.00002.
  8. Foodeh, R., Khorasani, A., Shalchyan, V., & Daliri, M. R. (2016). Minimum Noise Estimate filter: a Novel Automated Artifacts Removal method for Field Potentials. IEEE Transactions on Neural Systems and Rehabilitation Engineering.
  9. Gao, R. D., Peterson, E. J., & Voytek, B. (2016). Inferring Synaptic Excitation/Inhibition Balance from Field Potentials. bioRxiv, 081125.
  10. Wen, H., & Liu, Z. (2016). Broadband Electrophysiological Dynamics Contribute to Global Resting-State fMRI Signal. Journal of Neuroscience, 36(22), 6030-6040.
  11. Oizumi, M., Amari, S. I., Yanagawa, T., Fujii, N., & Tsuchiya, N. (2016). Measuring integrated information from the decoding perspective. PLoS Comput Biol, 12(1), e1004654.
  12. Eliseyev, A., & Aksenova, T. (2016). Penalized Multi-Way Partial Least Squares for Smooth Trajectory Decoding from Electrocorticographic (ECoG) Recording. PloS one, 11(5), e0154878.
  13. Hou, M., & Chaib-draa, B. (2016, March). Online incremental higher-order partial least squares regression for fast reconstruction of motion trajectories from tensor streams. In Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on (pp. 6205-6209). IEEE.
  14. Solovey, G., Alonso, L. M., Yanagawa, T., Fujii, N., Magnasco, M. O., Cecchi, G. A., & Proekt, A. (2015). Loss of consciousness is associated with stabilization of cortical activity. Journal of Neuroscience, 35(30), 10866-10877.
  15. Papadopoulou, M., Friston, K., & Marinazzo, D. (2015). Estimating directed connectivity from cortical recordings and reconstructed sources. Brain topography, 1-12.
  16. Hou, M., Wang, Y., & Chaib-draa, B. (2015, April). Online local gaussian process for tensor-variate regression: Application to fast reconstruction of limb movements from brain signal. In Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on (pp. 5490-5494). IEEE.
  17. Kasai, K., Fukuda, M., Yahata, N., Morita, K., & Fujii, N. (2015). The future of real-world neuroscience: imaging techniques to assess active brains in social environments. Neuroscience research, 90, 65-71.
  18. Tajima, S., Yanagawa, T., Fujii, N., & Toyoizumi, T. (2015). Untangling brain-wide dynamics in consciousness by cross-embedding. PLoS Comput Biol, 11(11), e1004537.
  19. van Driel, J., Cox, R., & Cohen, M. X. (2015). Phase-clustering bias in phase–amplitude cross-frequency coupling and its removal. Journal of neuroscience methods, 254, 60-72.
  20. Cichocki, A., Mandic, D., De Lathauwer, L., Zhou, G., Zhao, Q., Caiafa, C., & Phan, H. A. (2015). Tensor decompositions for signal processing applications: From two-way to multiway component analysis. IEEE Signal Processing Magazine, 32(2), 145-163.
  21. Tajima S, Toyoizumi T (2014). "Understanding large-scale complex systems with embedding." Seitai no Kagaku 65(5): 478-479.
  22. Eliseyev A, Aksenova T (2014). "Stable and artifact-resistant decoding of 3D hand trajectories from ECoG signals using the generalized additive model." J. Neural Eng. 11(6): 066005.
  23. de Cheveigné A, Lucas CP (2014). "Joint decorrelation, a versatile tool for multichannel data analysis." NeuroImage 98:487-505.
  24. Keshtkaran MR, Yang Z (2014). "A fast, robust algorithm for power line interference cancellation in neural recording." J. Neural Eng. 11(2): 026017.
  25. Syed MN, Georgiev PG, Pardalos PM (2014). "Blind Signal Separation Methods in Computational Neuroscience." Neuromethods.
  26. Komatsu M, Namikawa J, Chao ZC, Nagasaka Y, Fujii N., Nakamura K, Tani J (2014). "An artificial network model for estimating the network structure underlying partially observed neuronal signals." Neuroscience research 81-82:69-77.
  27. Zhao Q, Zhang L, Cichocki A (2014). "Multilinear and nonlinear generalizations of partial least squares: an overview of recent advances." Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 4(2): 104-115.
  28. Zhao Q, Zhou G, Adali T, Zhang L, Cichocki A (2013). "Kernel-based tensor partial least squares for reconstruction of limb movements." IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 3577-3581.
  29. Zhao Q, Zhou G, Adali T, Zhang L, Cichocki A (2013) "Kernelization of Tensor-Based Models for Multiway Data Analysis: Processing of Multidimensional Structured Data." IEEE Signal Processing Magazine 30(4): 137-148.
  30. Eliseyev A, Aksenova T (2013). "Recursive N-Way Partial Least Squares for Brain-Computer Interface." PLOS ONE 8(7): e69962.
  31. Vakorin VA, Mišić B, Krakovska O, Bezgin G, McIntosh AR (2013). "Confounding Effects of Phase Delays on Causality Estimation." PLOS ONE 8(1): e53588.
  32. van Gerven MAJ, Chao ZC, Heskes T (2012). "On the decoding of intracranial data using sparse orthonormalized partial least squares." J. Neural Eng. 9, 026017.
  33. Zhao Q, Caiafa CF, Mandic DP, Chao ZC, Nagasaka Y, Fujii N, Zhang L, Cichocki A (2012). "Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method." IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 35:7, 1660-1673.
  34. Komatsu M, Namikawa J, Tani J, Chao ZC, Nagasaka Y, Fujii N, Nakamura K (2012). "Estimation of functional brain connectivity from electrocorticograms using an artificial network model." IEEE International Joint Conference on Neural Networks (IJCNN), p1-8.
  35. Schwabe L, Zheng Y (2012). "Towards Model-Based Brain Imaging with Multi-Scale Modeling." Neuroimaging - Methods. P. Bright(editor), InTech: 99-114.
  36. Ozkurt TE (2012). "Statistically Reliable and Fast Direct Estimation of Phase-Amplitude Cross-Frequency Coupling." IEEE Transactions on Biomedical Engineering, 59(7): 1943-1950.