During this project we have construct a knowledge base library for BCI. This library contains of: Journal articles, conference papers, books, software’s, and datasets. The library was classified in an objective classification. If you need any of these articals please contact us.

1. General
• Jonathan R. Wolpawa, Niels Birbaumer, Dennis J. McFarlanda ,Gert Pfurtscheller , Theresa M. Vaughana ,” Brain–computer interfaces for communication and control” , Clinical Neurophysiology 113 ,2002 , pp 767–791
• S. G. Mason ,A. Bashashati,M. Fatourechi, K. F. Navarro And G. E. Birch ,” A Comprehensive Survey of Brain Interface Technology Designs” , Annals of Biomedical Engineering , Vol. 35, No. 2, February 2007 ,pp. 137–169.
• Gopal Santhanam , Stephen I. Ryu , Byron M. Yu , Afsheen Afshar & Krishna V. Shenoy,” A high-performance brain–computer interface” , Nature Publishing ,Vol 442 ,13 July 2006 , pp 195-198
• Dennis J. McFarland, Charles W. Anderson, Klaus-Robert Müller, Alois Schlögl, and Dean J. Krusienski ,” BCI Meeting 2005—Workshop on BCI Signal Processing: Feature Extraction and Translation .Ieee Transactions On Neural Systems And Rehabilitation Engineering, Vol. 14, No. 2, June 2006 , pp 135-138.
• Dennis J. McFarland , William A. Sarnacki, Jonathan R. Wolpaw ,” Brain-computer interface (BCI) operation:optimizing information transfer rates “ , Biological Psychology 63 ,2003 , pp: 237-251
• Jonathan R.Wolpaw , Niels Birbaumer,William J. Heetderks, Dennis J.McFarland, P. Hunter Peckham,Gerwin Schalk, Emanuel Donchin, Louis A. Quatrano, Charles J. Robinson, and Theresa M. Vaughan , “Brain–Computer Interface Technology: A Review of the First International Meeting” , Ieee Transactions On Rehabilitation Engineering, Vol. 8, No. 2, June 2000 , Pp 164-173.
• G. Schalk, P. Brunner , L.A. Gerhardt, H. Bischof , J.R. Wolpawa,” Brain–computer interfaces (BCIs): Detection instead of classification” , Journal of Neuroscience Methods 167 ,2008 , pp 51–62.
• S.G. Mason , M.M. Moore, G.E. Birch , “Designing Pointing Devices using Brain-Computer Interface Technology” , Proceedings of the 1st International IEEE EMBS ,Conference on Neural Engineering Capri Island, Italy March 20-22, 2003 , pp 610-613.
• Raymond Carl Smith ,” Electroencephalograph based Brain Computer Interfaces “ , MEngSc. Thesis , University College Dublin , Dublin, Ireland. Feb 2004.
• Theresa M. Vaughan ,William J. Heetderks , Leonard J. Trejo , William Z. Rymer , Michael Weinrich , Melody M. Moore , Andrea Kübler , Bruce H. Dobkin , Niels Birbaumer , Emanuel Donchin , Elizabeth Winter Wolpaw , Jonathan R. Wolpaw ,” Brain–Computer Interface Technology:A Review of the Second International Meeting “ , Ieee Transactions On Neural Systems And Rehabilitation Engineering, Vol. 11, No. 2, June 2003 , Pp 94-109 .
• Guger C., Edlinger G. ,” How many people can control a brain-computer interface (BCI)?. “
• Theodore W. Berger (Chair) ,John K. Chapin ,Greg A. Gerhardt ,Dennis J. McFarland ,José C. Principe ,Walid V. Soussou ,Dawn M. Taylor ,Patrick A. Tresco ,” International Assessment Of Research And Development In Brain-Computer Interfaces” WTEC Panel Report .
• Arnaud Delorme , Christian Kothe , Andrey Vankov ,Nima Bigdely-Shamlo, Robert ostenveld , Thorsten Zander , Scott Makeig ,” MATLAB-Based Tools for BCI Research “
• Md. Shahnawaz Khan ,” Password Detection via Imagined Wrist Movement in BCI “ . Proceedings of the International Multiconference on Computer Science and Information Technology, VOLUME 4, 2009 , pp. 401 – 404
• http://www.bbci.de/competition/iii/results
• Pradeep Shenoy , Matthias Krauledat , Benjamin Blankertz ,Rajesh P N Rao and Klaus-Robert Müller , “Towards adaptive classification for BCI” . Institute Of Physics Publishing Journal Of Neural Engineering , J. Neural Eng. 3 2006 , R13–R23
• Peter Desain , Jason Farquhar , Pim Haselager , Christian Hesse , Rebecca Schaefer ,” What BCI research needs”.
2. Steady-State Visual Evoked Potentials SSVEP
• E. C. Lalor, S. P. Kelly, C. Finucane, R. Burke, R. Smith, R. B. Reilly, and G.McDarby ,” Steady-State VEP-Based Brain-Computer Interface Control in an Immersive 3D Gaming Environment”. EURASIP Journal on Applied Signal Processing 2005 , pp. 3156–3164
• Indar Sugiarto “Multi-target SSVEP-based BCI using Multichannel SSVEP Detection”.
• S. P. Kelly , E. Lalor , C. Finucane, R. B. Reilly ,” A Comparison of Covert and Overt Attention as a Control Option in a Steady-State Visual Evoked Potential-based Brain Computer Interface”, Proceeding of the 26 annual international conference of the IEEE EMBS , san Francisco , USA , September ,2004 , pp 4725-4728.
• L. Maggi, S. Parini, L.Piccini, G.Panfili and G.Andreoni ,” A four command BCI system based on the SSVEP protocol”. Proceedings of the 28th IEEE EMBS Annual International Conference New York City, USA, Aug 30-Sept 3, 2006, pp. 1264-1267
• Gebhard Sammer, Carlo Blecker, Helge Gebhardt, Peter Kirsch, Rudolf Stark, and Dieter Vaitl ,” Acquisition of typical EEG waveforms during fMRI: SSVEP, LRP,and frontal theta”. NeuroImage 24 ,2005 , pp 1012– 1024.
• Li Zhao , Hui Shen,Yan Bian,Longteng xiao,Daofu Hu, Pengxian Yuan ,“ Application of Wavelet Packet Technique in BCI” , IEEE, 2009 ,pp 43-46.
• Ulrich Hoffmann Eric J. Fimbel Thierry Keller ,” Brain-computer interface based on high frequency steady-state visual evoked potentials: A feasibility study” . Proceedings of the 4th International IEEE EMBS Conference on Neural Engineering Antalya, Turkey, April 29 - May 2, 2009, pp 466-469.
• WANG Yijun, WANG Ruiping, GAO Xiaorong, GAO Shangkai, “Brain-computer Interface based on the High-frequency Steady-state Visual Evoked Potential” . 2005 First International Conference on Neural Interface and Control Proceedings; 26-28 May 2005; Wuhan, China , pp 37-39.
• Gernot R. Müller-Putz , and Gert Pfurtscheller , “Control of an Electrical Prosthesis With an SSVEP-Based BCI” . IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 55, NO. 1, JANUARY 2008 ,pp. 361-364.
• Hubert Cecotti, Axel Graeser ,” Convolutional Neural Network with embedded Fourier Transform for EEG classification”.,IEEE,2008.
• R. S. Leow , F. Ibrahim, and M. Moghavvemi,” Development of a Steady State Visual Evoked Potential (SSVEP)-based Brain Computer Interface (BCI) System” . International Conference on Intelligent and Advanced Systems 2007 ,pp 321-324.
• Kuo-Kai Shyu,Po-LeiLee,Yu-JuLiu∗, Jyun-JieSie , Dual-frequency steady-state visual evoked potential for brain computer interface ,2010 ,Article in Press.
• Yijun Wang, Zhiguang Zhang, Xiaorong Gao, Shangkai Gao , “Lead selection for SSVEP-based brain-computer interface” . Proceedings of the 26th Annual International Conference of the IEEE EMBS San Francisco, CA, USA • September 1-5, 2004 . pp.4507-4510
• Teodoro Solis-Escalante, Gerardo Gabriel Gentiletti , Oscar Yanez-Suarez ,” Detection of Steady-State Visual Evoked Potentials based on the Multisignal Classification Algorithm” . Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering Kohala Coast, Hawaii, USA, May 2-5, 2007 , pp 184 -187.
• Matthias M. Muller , Terence W. Picton , Pedro Valdes-Sosa , Jorge Riera ,Wolfgang A. Teder-Salejarvi , Steven A. Hillyard “Effects of spatial selective attention on the steady-state visual evoked potential in the 20–28 Hz range “ . Cognitive Brain Research 6 ,1998 pp 249–261.
• PabloMartinez, HovagimBakardjian, Andrzej Cichocki ,” Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm “ .Hindawi Publishing Corporation Computational Intelligence and Neuroscience Volume 2007, Article ID 94561.
• Dean J. Krusienski, , Brendan Z. Allison ,” Harmonic Coupling of Steady-State Visual Evoked Potentials”. 30th Annual International IEEE EMBS Conference Vancouver, British Columbia, Canada, August 20-24, 2008 . pp 5037-5040.
• Alvaro Rodrigo Fuentes Cabrera ,” Feature Extraction and Classifcation for Brain-Computer Interfaces” Ph.D. Thesis , Brain-Computer Interface Laboratory Center for Sensory-Motor Interaction (SMI) ,Department of Health Science and Technology Aalborg University, Denmark , August, 2009.
• Ruiping Wang, Xiaorong Gao, Shangkai Gao , “Frequency Selection for SSVEP-based Binocular Rivalry “ . Proceedings of the 2rd International IEEE EMBS Conference on Neural Engineering ,Arlington ,Virginia ,March 16-19 ,2005 , pp 5-8.
• Mehrdad Fatourechi ,Ali Bashashati, Rabab K. Ward, Gary E. Birch “EMG and EOG artifacts in brain computer interface systems:A survey”. Clinical Neurophysiology ,2006,Article in Press.
• Tang Yu and Anthony M. Norcia ,"Improved Parameter Estimation of Steady-State Visual Evoked Potentials”. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vol. 12, No. 2, 1990,pp 903-905.
• Ola Friman*, Ivan Volosyak, and Axel Gräser,” Multiple Channel Detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces” . IEEE Transactions On Biomedical Engineering, Vol. 54, No. 4, April 2007 ,Pp 742-750.
• A. Birca, L. Carmant, A. Lortie, M. Lassonde ,” Interaction between the flash evoked SSVEPs and the spontaneous EEG activity in children and adults”. Clinical Neurophysiology 117 , 2006 , pp.279–288
• Fabrizio Beverina,Giorgio Palmas,Stefano Silvoni,Francesco Piccione ,Silvio Giove,” User adaptive BCIs:SSVEP and P300 based interfaces”. PsychNology Journal, 2003 Volume 1, Number 4, pp. 331 - 354
• Guangyu Bin, Xiaorong Gao1, Zheng Yan, Bo Hong and Shangkai Gao ,” An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method “ . IOP Publishing , Journal Of Neural Engineering , J. Neural Eng. 6 046002 , 2009 .
• Hovagim Bakardjiana, Toshihisa Tanakaa, Andrzej Cichocki , “ optimization of SSVEP brain responses with application to eight-command Brain–Computer Interface “ , Neuroscience Letters 469 , 2010 , pp 34–38 .
• Tilmann Kluge , Manfred Hartmann ,” Phase Coherent Detection of Steady-State Evoked Potentials: Experimental Results and Application to Brain-Computer Interfaces” . Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering Kohala Coast, Hawaii, USA, May 2-5, 2007 , pp 425-429 .
• THOMAS F. COLLURA ,“Real-Time Filtering for the Estimation of Steady- State Visual Evoked Brain Potentials” . IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. VOL. 37, NO. 6. , JUNE 1990 , pp 650-652.
• Hironori Ohkadol, Seiji Nishifuji’, Shogo Tanakal ,” Response of brain aIpha wave to color-alternating flicker stimuli”. SICE Annual Conference in Sapporo, August 44,2004 Hokkaido Institute of Tecnology, Japan ,pp. 2135-2140.
• Ola Friman, Thorsten L¨uth, Ivan Volosyak and Axel Gr¨ aser “Spelling with Steady-State Visual Evoked Potentials”. Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering , Kohala Coast, Hawaii, USA, May 2-5, 2007 ,PP 354 -357;
• Luca Piccini, Sergio Parini, Luca Maggi and Giuseppe Andreoni,” A Wearable Home BCI system: preliminary results with SSVEP protocol”. Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference Shanghai, China, September 1-4, 2005 .
• Reza Boostani, Khadijeh Sadatnezhad, Malihe Sabeti ,” An efficient classifier to diagnose of schizophrenia based on the EEG signals”. Expert Systems with Applications 36 ,2009 , pp.6492–6499.
• William M. Perlstein ,Michael A. Cole, Michael Larson, Kiesa Kelly, Paul Seignourel, Andreas Keil ,” Steady-state visual evoked potentials reveal frontally-mediated working memory activity in humans”. Neuroscience Letters 342 ,2003, pp.191–195.
• Y. Kasagi, I. Shimoyama, S. Yoshida, M. Yamaguchi, M. Torii, K. Nakazawa ,” Nonlinear interactions in the visual system: a steady-state VEP study” . Elsevier, International Congress Series 1278 ,2005, pp. 69– 72
• Po-Lei Lee, Jen-Chuen Hsieh, Chi-Hsun Wu, Kuo-Kai Shyu, Yu-Te Wu ,” Brain computer interface using flash onset and offset visual evoked potentials” ,Elsevier, Clinical Neurophysiology 119 ,2008 ,pp. 605–616
• Danhua Zhu, Jordi Bieger, Gary GarciaMolina, and RonaldM. Aarts ,” A Survey of StimulationMethods Used in SSVEP-Based BCIs” , Hindawi Publishing Corporation ,Computational Intelligence and Neuroscience ,Volume 2010.
• Takako Fujita, Takao Yamasaki ,Yoko Kamio, Shinichi Hirose, Shozo Tobimatsu ,” Parvocellular pathway impairment in autism spectrum disorder: Evidence from visual evoked potentials”. Research in Autism Spectrum Disorders ,2010, Article in press .
• Zhenghua Wu, Yongxiu Lai, Yang Xia, Dan Wu, Dezhong Yao ,” Stimulator selection in SSVEP-based BCI” , Elsevier , Medical Engineering & Physics 30 ,2008 ,pp. 1079–1088 .
• Brendan Z. Allison ,Dennis J. McFarland, Gerwin Schalk , Shi Dong Zheng, Melody Moore Jackson c, Jonathan R. Wolpaw ,” Towards an independent brain–computer interface using steady state visual evoked potentials”. Clinical Neurophysiology 119 ,2008 , pp. 399–408.
• S. Nishifuji ,” Stimulus frequency dependence of phase structure of steady-state visually evoked potential” , Poster presentations sessions 1,2,3 / International Journal of Psychophysiology 69 ,2008 .
• Peter Malinowski , Sandra Fuchs , Matthias M. M¨uller ,” Sustained division of spatial attention to multiple locations within one hemifield” , Elsevier , Neuroscience , 2007 , Article in press .
• Richard B. Silberstein , Paul L. Nunez , Andrew Pipingas , Philip Harris, Frank Danieli ,” Steady state visually evoked potential (SSVEP) topography in a graded working memory task” ,ElseVier , International Journal of Psychophysiology 42 ,2001,pp. 219 -232 .
• Franc¸ois-Benoȋt Vialatte ,Monique Maurice, Justin Dauwels, Andrzej Cichocki ,” Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives”.Elsevier, Progress in Neurobiology 90 ,2010, pp 418–438.
• Ahmet Gokcay , Nes¸e Celebısoy, Figen Gokcay, O zgül Ekmekcı, Ayfer Ulku,” Visual evoked potentials in children with occipital epilepsies” , Elsevier , Brain & Development 25 ,2003 , pp. 268–271.
• Guangyu Bin , Zhonglin Lin, Xiaorong Gao, Bo Hong, Shangkai Gao ,” The SSVEP Topographic Scalp Maps by Canonical Correlation Analysis” , 30th Annual International IEEE EMBS Conference Vancouver, British Columbia, Canada, August 20-24, 2008 ,pp 3759-3762.
• R. Quian Quiroga ,” Obtaining single stimulus evoked potentials with wavelet denoising” ,Elsevier , Physica D 145 ,2000 , pp. 278–292.
• Zhenghua Wu ,” The Difference of SSVEP Resulted by Different Pulse Duty-cycle” . IEEE, 2009 ,pp. 605-607.
• R. Quian Quiroga , O.W. Sakowitz, E. Basar, M. Schürmann ,” Wavelet Transform in the analysis of the frequency composition of evoked potentials” .Elsevier , Brain Research Protocols 8 ,2001 ,pp. 16–24
• R. Quian Quiroga , ,O.A.rosso, E. Basar ,M. Schürmann ,” Wavelet entropy in event-related potentials: a new method shows ordering of EEG oscillations” . biological cybernetics 84,2001, pp. 291-299.
• M. Cheng, X. Gao, S. Gao, D. Xu ,” Multiple Color Stimulus Induced Steady State Visual Evoked Potentials” , 2001 Proceedings of the 23rd Annual EMBS International Conference, October 25-28, Istanbul, Turkey , pp. 1012-1014.
• J. Cui, W. Wong and S. Mann ,”Time-frequency analysis of visual evoked potentials using chirplet transform “,7th February 2005 Vol. 41 No. 4
3. Identify the properties of the random process nature of brain rhythms
4. P300 and ERPs
5. Motor Imagery
6. Preprcessing
7. Feature Extraction and Selection
8. Classification
9. Regression
10. SW_HW tools
11. Autism
12. Statistical Modeling
13. Soft Computing
14. DataSets
15. Exploratory Data Analysis
16. Math & Stat Foundation