| PUBLICATIONS (in chronological order) |
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· Demo video of aSSVEP-BCI control of robotic arm (WMV) · Demo video of aSSVEP-BCI stimuli (WMV) · Demo video of SSVEP-BCI: 4 designs (WMV) |
Journal Publications
[1] Bakardjian H, Tanaka T, Cichocki A, Emotional faces boost up steady-state visual responses for brain-computer interface, NeuroReport 2011, 22(3):121-125.
http://dx.doi.org/10.1097/WNR.0b013e32834308b0
[2] Bakardjian H, Tanaka T, Cichocki A, Optimization of SSVEP brain responses with application to eight-command Brain–Computer Interface, Neurosci Lett, 2010, 469(1):34-38.
http://dx.doi.org/10.1016/j.neulet.2009.11.039
[3] Vialatte F.-B., Bakardjian H., Rajkishore P., Cichocki A., EEG paroxysmal gamma waves during Bhramari Pranayama: A yoga breathing technique, Consciousness and Cognition, 2009, 18(4):977-988.
http://dx.doi.org/10.1016/j.concog.2008.01.004
[4] Sano, A., Bakardjian, H., Movement-Related Cortical Evoked Potentials Using Four-Limb Imagery, Int J Neurosci 2009, 119(5):639-663.
http://dx.doi.org/10.1080/00207450802325561
[5] Cichocki, A., Washizawa, Y., Rutkowski, T., Bakardjian, H., Phan, A-H., Choi, S., Lee, H., Zhao, Q., Zhang, L., Li, Y., Noninvasive BCIs: Multiway Signal-Processing Array Decompositions, Computer, vol. 41, no. 10, pp. 34-42, Oct., 2008.
http://doi.ieeecomputersociety.org/10.1109/MC.2008.431
[6] Xu J., Bakardjian H., Cichocki A., Principe J.C., A New Nonlinear Similarity Measure for Multichannel Signals, Neural Networks, 2008, 21(2-3):222-231.
http://dx.doi.org/10.1016/j.neunet.2007.12.039
[7] Astolfi L., Bakardjian H., Cincotti F., Mattia D., Marciani M.G., De Vico Fallani F., Colosimo A., Salinari S., Miwakeichi F., Yamaguchi Y., Martinez P., Cichocki A., Tocci A., Babiloni F., Estimate of causality between independent cortical spatial patterns during movement volition in spinal cord injured patients, Brain Topogr. 2007, 19(3):107-23.
http://dx.doi.org/10.1007/s10548-007-0018-1
[8] Martinez P., Bakardjian H., Cichocki A., Fully-Online, Multi-Command Brain Computer Interface with Visual Neurofeedback Using SSVEP Paradigm, J Comp Intell Neurosci 2007; 2007:94561.
http://dx.doi.org/10.1155/2007/94561
[9] Astolfi L., Cincotti F., Mattia D., Babiloni F., Marciani M.G., Fallani F.D.V., Crocenzi M., Miwakeichi F., Yamaguchi Y., Martinez P., Salinari S., Tocci A., Bakardjian H., Vialatte F.B., Cichocki A., Removal of ocular artifacts for high resolution EEG studies: a simulation study, International Journal of Bioelectromagnetism 2007, 9(4):253-259.
http://ijbem.k.hosei.ac.jp/2006-/volume9/number4/090409.pdf
[10] Kasabov N., Bakardjian H., Zhang D., Song Q., Cichocki A., Leeuwen C.van, Evolving Connectionist Systems for Adaptive Learning, Classification and Transition Rule Discovery from EEG Data: A Case Study Using Auditory and Visual Stimuli, Intl J Neur Sys, (in press).
[11] Bakardjian H.,
Cichocki A., Cincotti F., Mattia D., Babiloni F., Marciani MG, Fallani FDV,
Miwakeichi F, Yamaguchi Y, Martinez P, Salinari S, Tocci A, Astolfi L, Estimate
of Causality Between Cortical Spatial Patterns During Voluntary Movements in
Normal Subjects, International Journal of Bioelectromagnetism
2006, 8(1):pp. II/1 - II/18.
http://ijbem.k.hosei.ac.jp/2006-/volume8/number1/htm/bakardji.htm
[12] Bakardjian, H., Uchida, A., Endo, H., Takeda, T., Magnetoencephalographic study of speed-dependent responses in apparent motion, Clin Neurophysiol, vol.113, pp.1586-1597, 2002.
http://dx.doi.org/10.1016/S1388-2457(02)00222-5
[13] Kazakova, M., Bakardjian, H., Daskalov, I. Spectral Analysis of Cardiac Rhythm Variability as a Method for the Investigation of Neurovegetative Regulation of the Heart, Pediatrics, No.2, pp.125-132, 1993
[14] Bakardjian, H. Ventricular Beat Classifier Using Fractal Number Clustering, Med. & Biol. Eng. & Comput., vol.30, pp.495-502, 1992
http://dx.doi.org/10.1007/BF02457828
http://www.springerlink.com/content/b40662141u819h27/
[15] Undjian, S., Bakardjian, H. Determination of the Surgical Resection Volume by Children's Cerebelar Tumors, X-Ray and Radiology, No.3, pp.224-229, 1991.
Patents
[16] Bakardjian,
H., Martinez, P., Cichocki, A., Robust Multi-Command SSVEP-Based
Brain-Machine
Interface Without Training using Small Moving or Stationary Patterns,
Japanese
Patent Ref#22385, 2008
Book Chapters
[17] Georgiev,
P., Theis, F., Cichocki A., Bakardjian, H., Sparse Component Analysis:
a New
Tool for Data Mining, In: Pardalos, Panos M.; Boginski, Vladimir L.;
Vazacopoulos, Alkis (Eds.), Data Mining in Biomedicine, Series:
Springer
Optimization and Its Applications , Vol. 7, Springer, 2007, p.91-116.
http://www.springer.com/biomed/book/978-0-387-69318-7
[18] Georgiev
P., Cichocki A., Bakardjian H., Optimization Techniques for Independent
Component Analysis with Applications to EEG Data, In: Pardalos, P.M.,
Sackellares, J.C., Carney, P.R., Iasemidis, L.D., (Eds.), Quantitative
Neuroscience: Models, Algorithms, Diagnostics, and Therapeutic
Applications, Series:
Biocomputing, Vol.2, Springer, 2004, p.53-68.
http://www.springer.com/engineering/biomedical+eng/book/978-1-4020-7751-7
[19] Bakardjian,
H., Uchida, A., Endo, H., Takeda, T., Masuda, T., Influence of Location
and
Displacement on Evoked Magnetic Responses to Apparent Motion and Flash
Stimuli,
In: Yoshimoto, T., Kotani, M., Kuriki, S., Nakasato, N., Karibe, H.,
Eds.,
Recent Advances in Biomagnetism, Tohoku University press, 1998,
p.557-560.
Conference Publications
[20] Bakardjian H, Tanaka T, Cichocki A, Brain Control of Robotic Arm Using Affective Steady-State Visual Evoked Potentials, IASTED International Conference on Human-Computer Interaction (IASTED-HCI 2010), pp.264-270.
http://www.actapress.com/Abstract.aspx?paperId=41302
[21] Sato Y, Hoya T,
Bakardjian H, Cichocki A, Reduction of Broadband Noise In Speech Signals by
Multilinear Subspace Analysis, Proc. of InterSpeech2010 Conference, Makuhari,
Japan, Sept.26-30, 2010.
http://www.interspeech2010.org/program/session.php?id=1410
[22] Maurice M, Vialatte F-B, Bakardjian H, Cichocki A, Yamaguchi Y, Understanding brain information processing in the visual system following flickering stimulation, Neuroscience Research (2009), 65 (Suppl1):S108.
(32nd Annual Meeting of the Japan Neuroscience Society (Neuroscience 2009), Sept.16-18, 2009), Nagoya, Japan).
http://dx.doi.org/10.1016/j.neures.2009.09.489
[23] Martinez P, Bakardjian H, Vallverdu M, Cichocki A. Fast multi-command SSVEP brain machine interface without training. Lecture Notes in Computer Science 2008; 5164:300-307.
(Proc. of Intern. Conf. on Artificial Neural Networks (ICANN2008), Sept 3-8, 2008, Prague, Czech Republic).
http://dx.doi.org/10.1007/978-3-540-87559-8_31
[24] Bakardjian H., Martinez P., Cichocki A., Steady-state visual evoked responses as a reliable tool for an online 8-command brain-machine interface, Proc. of World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI'08), Orlando, Florida, USA, June 29 - July 2, 2008
http://www.sciiis.org/WM-SCI08
[25] Martinez P., Bakardjian H., Cichocki A., Multi-command Real-time Brain Machine Interface Using SSVEP: Feasibility Study for Occipital and Forehead Sensor Locations, Advances in Cognitive Neurodynamics - Proceedings of the International Conference on Cognitive Neurodynamics - 2007, Eds: Wang, R.; Gu, F.; Shen, E., 2008, Springer, pp.783-6 (ICCN'07, 17-21.Nov.2007, Shanghai, China).
http://www.springer.com/biomed/neuroscience/book/978-1-4020-8386-0
[26] Prasad R., Bakardjian H., Cichocki A., Matsuno F., Source Localization with EEG data for BP shows major activities in the frontal areas of the brain, Proc. of International Conference on Instrumentation, Control and Information Technology (SICE'2007), Sept. 17-20, 2007, Takamatsu, Japan
http://www.sice.or.jp/~sice2007/
[27] Bakardjian H., Martinez P., Cichocki A., Multi-command on-line EEG Brain machine interface using steady state visual evoked potentials, Proc. of RIKEN Symposium "Brain activity and information integration”, Sept.13, 2007, Wako, Japan.
http://www.dei.brain.riken.jp/conf07/r_sympo.html
[28] Bakardjian H., Martinez P., Cichocki A., Dynamic Online Target Control of SSVEP-Based Brain-Computer Interface with Multiple Commands, Neurosci Res 2007; 58:S70.
(NEURO2007, Yokohama, Sept.10-12, 2007).
http://dx.doi.org/10.1016/j.neures.2007.06.410
[29] Xu J., Bakardjian H., Cichocki A., Principe J.C., A New Nonlinear Similarity Measure for Multichannel Biological Signals, Proc. International Joint Conference on Neural Networks (IJCNN'07), Orlando, FL, USA, August, 2007.
[30] Bakardjian H., Cichocki A., Cincotti F., Mattia D., Babiloni F., Fallani F.D.V., Miwakeichi F., Yamaguchi Y., Astolfi L., On the estimation of causality between cortical spatial patterns during voluntary movements in normal subjects by using Independent Component Analysis, Clinical Neurophysiology, Vol.117, Suppl.1, Sept.2006, pp.149 (Proc. 28th International Congress of Clinical Neurophysiology (ICCN 2006), Edinburgh, UK, Sept.10-14, 2006).
http://dx.doi.org/10.1016/j.clinph.2006.06.543
[31] Cichocki A., Cincotti F., Babiloni F., Mattia D., Marciani M.G., Fallani F.D.V., Bakardjian H., Yamaguchi Y., Astolfi L., Estimate of causality between cortical spatial patterns during voluntary movements in normal subjects, Proceedings of the 12th annual Meeting of the Organization for Human Brain Mapping, Florence, Italy, June 11-15, 2006.
[32] Miwakeichi, F., Bakardjian, H., Cichocki, A., Analysis of contaminated EEG using PARAFAC with several types of hyper-dimensional data, 12th Annual Meeting of the Organization for Human Brain Mapping, Florence, Italy, June 11-15, 2006.
[33] Levkov C, Arnaudova R, Dunev S, Bakardjian H, Neshev G, ECG Holter systems - development and perspectives, Proc of ELECTRONICS’2006, Sozopol, Bulgaria, Sept.20-22, 2006.
http://www.journalogy.com/Paper/12561018.aspx
[34] Sano, A., Bakardjian, H., Cichocki, A., Ushiba, J., Tomita, Y., Effects of various movement conditions on cortical potentials, The 12th meeting of Keio Higher-order brain function for Medical Engineering, Tokyo, Japan, March 2005.
[35] Shishkin, S.L., Kaplan, A.Y., Bakardjian, H., Cichocki, A., Combining the extremities on the basis of separation: A new approach to brain source modeling, International Congress Series, vol. 1278, March 2005, Pages 119-122 (Proc. of the 8th International Evoked Potentials Symposium, Fukuoka, Japan, Oct. 5-8, 2004).
http://dx.doi.org/10.1016/j.ics.2004.11.077
[36] Sano, A., Bakardjian, H., Cichocki, A., Tomita, Y., Blind source separation based analysis of movement related cortical potentials. Proc. SICE 2004 Annual Conference (Society of Instrument and Control Engineers), vol 3, p.2399-2402, Sapporo, Japan, August 4-6, 2004.
http://dx.doi.org/10.1109/SICE.2004.192097
[37] Sano, A., Bakardjian, H., Cichocki, A., Tomita, Y., Study on Timing Control during Rhythmic Tapping Movement", The 45th Annual Conference of Japan Ergonomics Society, Saitama, Japan, June 2004.
[38] Sano, A., Bakardjian, H., Cichocki, A., Tomita, Y., "Time-series Analysis of Electroencephalogram during Cue-guided and Self-paced Tapping Movements, The 45th Annual Conference of Japan Ergonomics Society, Saitama, Japan, June 2004.
[39] Sano, A., Bakardjian, H., Cichocki, A., Tomita, Y., [EEG Analysis during Rhythmic Tapping Movements], Proceedings of the 43rd Annual Conference of Japanese Society for Medical and Biological Engineering, Kanazawa, Japan, May 19-21, 2004, p.689 (in Japanese).
[40] Sano, A., Bakardjian, H., Cichocki, A., Tomita, Y., Relationship between EEG during Rhythmic Tapping Movements and Tapping Rhythms, 4th Winter Workshop for Brain and Mind Mechanisms, Rusutsu, Japan, Jan 7-9, 2004.
[41] Georgiev, P., Theis, F., Cichocki A., Bakardjian, H., Sparse Component Analysis: a New Tool for Data Mining, Proceedings of the Conference on Data Mining in Biomedicine, Gainesville, Florida, USA, Febr.16-18, 2004, p.17.
http://www.ise.ufl.edu/cao/biomedicine/schedule.pdf
[42] Bakardjian H., Sharing your mind with a machine: a brain-computer interface approach, Proc. of the Brain, Mind and Culture Meeting, Limassol, Cyprus, Nov.29-Dec.3, 2004, p.50.
[43] Bakardjian H., Common independent components for motion-based brain-computer-interfaces, Proc. of the Society for Neuroscience (SfN) Meeting, San Diego, USA, Oct. 23-27, 2004.
[44] Bakardjian, H., Cichocki, A., Extraction and classification of common independent components in single-trial crossmodal cortical responses, Proceedings of the 5th Annual Meeting of the International Multisensory Research Forum, Barcelona, Spain, June 2-5, 2004, p.26-27.
http://imrf.mcmaster.ca/IMRF/2004_submit/viewabstract.php?id=116
[45] Bakardjian, H., Cichocki, A., Crossmodal cortical responses revealed by single-trial wavelet-packet-enhanced ICA, Proceedings of the 43rd Annual Conference of Japanese Society for Medical and Biological Engineering, Kanazawa, Japan, May 19-21, 2004, p.373.
http://sciencelinks.jp/j-east/display.php?id=000020041604A0467210
[46] Tanaka S., Miyashita S., Nakagawa T., Kirino E., Bakardjian H., Cichocki A. Event-related potentials of the fronto-parietal network for multi-target spatial working memory processing: Independent component analysis. Proceedings of the 6th IBRO World Congress of Neuroscience, Prague, Czech Republic, July 10 - 15, 2003, #4286.
http://http://sites.google.com/site/stlab10/publication
[47] Bakardjian, H., Cichocki, A., Classification of Fast Imagined Motion responses for a Human-Computer Interface, Proceedings of the 42nd Annual Conference of Japanese Society for Medical and Biological Engineering, Sapporo, Japan, June 3-5, 2003, p.462.
http://sciencelinks.jp/j-east/display.php?id=000020041904A0466793
[48] Hoya, T., Hori, G., Bakardjian, H., Nishimura, T., Suzuki, T., Miyawaki, Y., Funase, A., Cao, J., Classification Of Single Trial EEG Signals By a Combined Principal + Independent Component Analysis, Proceedings of the 4th International Symposium on Independent Component Analysis and Blind Signal Separation, Nara, Japan, April 1-4, 2003, p.197-202.
http://www.kecl.ntt.co.jp/icl/signal/ica2003/cdrom/abst.htm#0075
[49] Miyawaki, Y., Ryusuke, H., Taro, M., Susumi, T., Bakardjian, H., Cichocki, A., The time course of binocular stereopsis and figure-ground segregation revealed by visual evoked potential measurements, Joint France-Japan Symposium on Cognitive Neuroscience, Wako, Japan, September, 2001.
[50] Bakardjian, H., Uchida, A., Takeda, T., Speed-Dependent Processing of Apparent Motion in Humans, Proceedings of the 2nd JST CREST Symposium on Creation of Artificial Brain, Tokyo, Japan, June 5, 2001.
[51] Bakardjian, H., Uchida, A., Endo, H., Takeda, T., Visual Stimuli Displacement in First-Order Apparent Motion, Proceedings of the 1st JST CREST Symposium on Creation of Artificial Brain, Tokyo, Japan, Apr.12, 2000, p.18.
[52] Bakardjian, H., Uchida, A., Endo, H., Takeda, T., Spatiotemporally-integrated activation mode in first-order motion, Proceedings of the 12th International Conference on Biomagnetism (BIOMAG'2000), Helsinki, Finland, Aug.13-17, 2000, #076a (4p).
http://citeseer.ist.psu.edu/642662.html
[53] Bakardjian, H., Uchida, A., Takeda, T., Endo, H., Single-Trial Time-Space Trajectories of Evoked Magnetic Responses to Apparent Motion Using Cross-Wavelet Estimators, Proceedings of the 29th Annual Meeting of the Society for Neuroscience, Miami Beach, Florida, USA, Oct.23-28, 1999, pp.675.
[54] Herrmann, C., Bakardjian, H., Wavelet Networks for EEG Analysis, Proceedings of 5th European Congress on Intelligent Techniques and Soft Computing EUFIT'97, Aachen, Germany, September 8-12, 1997.
[55] Ito, T., Bakardjian, H., Takahashi, M., Yamamoto, K., Temporal Patterns in Wavelet-Transformed HRV During Functional Tests of Autonomic Function, Proceedings of the 35th Conference of the Japan Society of Medical Electronics and Biological Engineering, Osaka, Japan, May 16-18, 1996, pp.398.
[56] Bakardjian, H., Yamamoto K., Ito, T., Wavelet and Fourier Transforms as Diagnostic Tools in Autonomic Nervous Status Tests, Proceedings of the 11th Symposium on Biological and Physiological Engineering, Osaka, Japan, Nov. 27-29, 1996, pp.521-524.
[57] Bakardjian, H., Ito, T., Yamamoto, K., Temporal Assessment of Cardiac Rhythm Fluctuations Through Wavelet and Short-Time Fourier Transforms, Proceedings of the 10th Symposium on Biological and Physiological Engineering, Sapporo, Japan, Nov. 30-Dec.2, 1995, pp.477-480.
[58] Bakardjian, H., Yamamoto, K., Heart Rate Variability Analysis Through Multiresolution Orthogonal Wavelet Transform, Technical Report of the Institute of Electronics, Information and Communications Engineering MBE95-41 (1995-06), 1995, pp.69-76.
[59] Bakardjian, H., Yamamoto, K., Dynamic Non-Deterministic Characterization of HRV through Multiresolution Wavelet Decomposition, Proceedings of the 17th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Montreal, Canada, Sept. 20-23, 1995, pp.1063-1064.
http://dx.doi.org/10.1109/IEMBS.1995.579484
[60] Savova, R., Bakardjian, H., Kazakova, Koprivarova, K., Konstantinova, M., Popova, G., Angelova, B., Dascalov, I., Pesheva, M. Power Spectral Analysis of Heart Rate Variability in Diabetic Children, Proceedings of the 15th International Diabetes Federation Congress, Kobe, Japan, Nov. 6-11, 1994, pp.586.
[61] Bakardjian, H., Gergen, D., Pfurtscheller, G., Adaptive Identification of Ventricular beats and R-R-Interval Analysis in Noisy Long-term ECG Signals, IIG Report-Series Nr. 378, Laboratory of Brain-Computer Interfaces, Institute of Knowledge Discovery, Graz University of Technology, Austria, Feb.1994.
http://ftp.iicm.tugraz.at/much/publications/publications/by_title/a/adaptive_identification_of_ventricular_b.htm
[62] Bakardjian, H., Yamamoto, K. Long-term Heart Beat Variability Evaluation Through Discrete Wavelet Analysis, Proceedings of the 9th Symposium on Biological and Physiological Engineering, Tsukuba, Japan, Nov. 29 - Dec. 1, 1994, pp.359-362.
[63] Bakardjian, H., Yamamoto, K. Morphology Evaluation of Heart Beat Variability Power Spectrum, Proceedings of the 16th Annual International Conference of IEEE Engineering in Medicine and Biology Society, Baltimor, USA, Nov. 3-6, 1994, pp. 1332-1333 (vol.2).
http://dx.doi.org/10.1109/IEMBS.1994.415458
[64] Savova, R., Bakardjian, H., Kazakova Spectral Analysis of Heart Rate Variability in Children with Diabetis Mellitus Type I, Sofia Medical University Scientific Session, Sofia, Bulgaria, Apr. 9-10, 1993.
[65] Savova, R., Bakardjian, H., Kazakova Spectral Analysis of Heart Rate Variability in Insulin-dependent Diabetic Children, International Symposium of Young Medical Researchers, Varna, Bulgaria, Oct. 11-13, 1991.
[66] Bakardjian, H., Kazakova, M., Petkova, B. Spectral Analysis of Heart Rate Variability in Healthy Children, International Symposium of Young Medical Researchers, Varna, Bulgaria, Oct. 11-13, 1991.
Technical Reports, Software
and Other Publications
[67] Cichocki, A., Amari, S., Siwek, K., Tanaka, T., Cruces, S., Georgiev, P., Leonowicz, Z., Bakardjian, H., Rutkowski, T., Choi, S., Belouchrani, A., Barros, A., Thawonmas, R., Hoya, T., Hashimoto, W., Terazono Y., Watanabe, T., ICALAB for Signal Processing and ICALAB for Image Processing, Laboratory for Advanced Brain Signal Processing, Brain Science Institute, RIKEN, Japan.
http://www.bsp.brain.riken.go.jp/ICALAB/
[68] Bakardjian, H., Cichocki, A., Brain Control of Robotic Arm Using Hybrid BCI: A Novel Approach Utilizing Affective and Visual Cortical Responses, Proc. of the 12th Retreat of the Brain Science Institute, The Institute of Physical and Chemical Research, Oegawa, Konan-cho, Saitama, Japan, Nov.16-17, 2009, p.43.
[69] Bakardjian H., Visual Stimulation for SSVEP-Based Multichannel Brain-Machine Interfaces (BMI), Proc. of the 11th Retreat of the Brain Science Institute, The Institute of Physical and Chemical Research, Karuizawa, Nagano, Japan, Nov.4-5, 2008.
[70] Bakardjian H., Martinez P., Cichocki A., Whole-head steady-state visual evoked responses as a reliable tool for an online multi-command brain-machine interface, Proc. of the 10th Retreat of the Brain Science Institute, The Institute of Physical and Chemical Research, Karuizawa, Nagano, Japan, Nov.26-28, 2007, pp.54.
[71] Bakardjian, H., Martinez, P., Cichocki, A., Real-time multi-command EEG-based Brain-Computer Interface platform, Proc. of the 9th Retreat of the Brain Science Institute, The Institute of Physical and Chemical Research, Oegawa, Konan-cho, Saitama, Japan, Oct.30-Nov.1, 2006, pp.21-22.
[72] Bakardjian, Ohara, S., Cichocki, A., Intracranial Local-Field Responses to Attended and Unattended Laser-Induced Pain in Humans, Proceedings of the 8th Retreat of the Brain Science Institute, RIKEN (The Institute of Physical and Chemical Research), Fujiwara, Tochigi, Japan, Oct. 31-Nov.2, 2005, pp.54.
[73] Bakardjian, Common independent components for motion-based brain-computer interfaces, Proceedings of the 7th Retreat of the Brain Science Institute, RIKEN (The Institute of Physical and Chemical Research),, Konan, Saitama, Japan, Oct. 4-6, 2004, pp.51.
[74] Bakardjian, H., Hashimoto, W., Cichocki, A., Multimodal Face And Music Recognition Responses In Infants Using High-Density Electroencephalography, Proceedings of the 5th Retreat of the Brain Science Institute, RIKEN (The Institute of Physical and Chemical Research), Konan, Saitama, Japan, Oct. 22-24, 2002, pp.44.
[75] Bakardjian, H., Cichocki, A., Van Leeuwen, C., Miyawaki, Y., Encoding of Visual Complexity in the Evoked Responses of the Human Brain, Proceedings of the 4th Retreat of the Brain Science Institute, RIKEN (The Institute of Physical and Chemical Research), Oiso, Kanagawa, Japan, Oct. 9-11, 2001.
D.Eng./Ph.D. Thesis
Bakardjian, H., Optimization of Steady-State Visual Responses for Robust Brain-Computer Interfaces, Thesis (Ph.D.), 2011, Tokyo University of Agriculture and Technology (Graduate School of Engineering, Department of Electronic and Information Engineering, Division of Applied Electronics Engineering).
INVITED TALKS
[1]
SSVEP-Based Brain-Computer Interfaces, ESPCI ParisTech, Paris, France, June 2011.
[2] Steady-State Visual Evoked Responses As A Reliable Tool For Online Brain-Machine Interfaces, BSI-TOYOTA Collaboration Center Seminar, BSI, RIKEN, Wako, Japan, Mar.25, 2008.
[3] An EEG-Based Brain-Computer Interface with Multiple SSVEP Commands, Università Politecnica delle Marche, Ancona, Italy, Mar.28, 2007.
[4] Real-time multi-command EEG-based Brain-Computer Interface platform, Round Table "EEG signal processing: applications in BCI systems", Fondazione Santa Lucia, Rome, Italy, Mar.7, 2007.
[5] Electroencephalography (EEG): From Artifact Removal To Emotion Recognition, EMAC Series Seminar, Kyushu University, Feb.22, 2007.
[6] A Real-Time Brain-Computer Interface with Multiple Commands Using Blind Source Separation for Artifact Removal, Frontier Medilac Seminar, Research Center for Frontier Medical Engineering, Chiba University, Nov.27, 2006.
[7] Real-time multi-command EEG-based Brain-Computer Interface platform, Hot Topic Talk at the 9th Retreat of the Brain Science Institute, The Institute of Physical and Chemical Research, Oegawa, Konan-cho, Saitama, Japan, Oct.31, 2006.
[8] Measurement of Weak Electrical Signals from the Human Brain, Riken-Denso Industry Fusion Seminar, Brain Science Institute, RIKEN, Wako, Japan, Oct.11, 2006.
[9] Driver Satisfaction Enhancement by Adaptive Brain Response Optimization, Riken-Subaru Collaboration Seminar, Brain Science Institute, RIKEN, Wako, Japan, May.14, 2004.
[10] Crossmodal interplay of auditory and visual cortical responses revealed by single-trial wavelet-packet-enhanced ICA, Brain Science Institute, RIKEN, Wako, Japan, October 15, 2003.
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