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Francois-B. Vialatte
- Wako-Shi, Saitama-Ken (near Tokyo)
- Japan
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Francois-B. Vialatte's Groups
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Brain-computer interfaces
76 members
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Organization for Computa…
90 members
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Theoretical Neuroscience
159 members
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Neurological disorders
117 members
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Synchronization and Osci…
38 members
Francois-B. Vialatte's Page
Latest Activity
Reading our exchange, I discovered a big flaw in my own arguments in that while scientists might improve their communications skills and put forward their arguments directly to the public, they will in fact compete with already highly skills communi…
I am particularly interested in the structure of EEG signals, the interpretation of EEG oscillations, and in signal processing methods allowing the extraction of EEG time-frequency characteristics. In other words, after dissecting EEG signals I try…
Bridging the gap between human and machine minds. We discuss everything related to invasive and non-invasive BCI.
Dear all,
Let me bring to your attention to the special session "Neural Signals of Brain Disorders" held in Valencia, Spain (January 2010) during the conference BioSignals: check the url for more info.
http://www.biosignals.biostec.org/Special_Ses…
I agree with your points and that existing system can and should be improved. Actually this process already started - we are moving now towards more transparency with projects like Plos One etc.. And thankfully to Internet everyone can be heard - yo…
---To Philippe---
"being more active participants in the debate involving tax-payers and policy-makers."
I agree with this. But we will face a problem: those who are willing to talk are young scientist (those who want the system to be improved), n…
I agree that market and hunt for profit can be dangerous. But market also provides some sort of easy reality check. Bad science will not make any $$ and will collapse, good science that bring fruitful results will survive - kinda Darwinian natural s…
Enter the possibility of having these new companies being more controlled by scientists themselves!
But for this to happen, it might also be necessary for the scientists to receive a basic formation in business and marketing, preferably during thei…
Let me initiate a debate with a controversy about the role of Science and scientists in modern societies.
The evaluation of Science, and its funding system, are nowadays very dependant on the assumption that good science should be profitable. Scien…
The Organization for Computational Neurosciences (OCNS) organizes the international Computational Neuroscience meeting (CNS) each year. CNS is a premier forum for experimental and theoretical results addressing computation in the brain.
Dedicated to exploring theoretical constructs in neuroscience, using a synergy of experimental, mathematical, and computational methods.
A discussion group that focuses the common aspects, e.g. upcoming conferences, new funding schemes, journals etc.
This group is intended for those interested in cellular and network mechanisms and the functional significance of normal and pathological synchronization and oscillations observed in small invertebrate to large cortical neuronal networks.
This group will address the relation between neuroscience, the general public and the medias, broaching the subjects of popularization, its purpose and limitations, of ethics and policies, insofar as those are often influenced by the medias.
Profile Information
- Main areas of research:
- Brain Signal Processing, Neuroscience, Alzheimer's disease and brain disorders, Evoked Potentials, Brain Computer Interface
- Interests/keywords:
- EEG, fMRI, wavelets, time-frequency, bump modeling, MCI, Alzheimer, BCI, meditation, rehabilitation, cognition, brain, neural sychrony, neurophenomenology
- Current title/position:
- Ph.D. / Research Scientist
- Current affiliation/employer:
- Riken Brain Science Institute
- Collaborators:
- Andrzej Cichocki (Riken BSI, Japan)
Justin Dauwels (MIT, USA)
Monique Maurice (Riken BSI, Japan)
Jordi Sole-Casals (University of Vic, Spain)
Charles Latchoumane (KAIST, South Korea)
Corinna Haenschel (University of Bangor, UK)
Johannes Pantel (JW Goethe University, Germany)
Maria Kniazeva (CHUV, Switzerland)
- PhD Advisor and University:
- G. Dreyfus (ESPCI, Paris), R. Gervais (CNRS, Lyon) - France
- Postdoc Advisor and University:
- A. Cichocki, Riken BSI (Japan)
- Personal or laboratory homepage:
- http://www.bsp.brain.riken.jp/~fvialatte/
- Publications:
- Dauwels J., Vialatte F.B., Cichocki A.
A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG. Neuroimage, in press.
Vialatte FB, Dauwels J, Maurice M, Yamaguchi Y, Cichocki A. On the synchrony of steady state visual evoked potentials and oscillatory burst events.
Cognitive Neurodynamics, in press.
Dauwels J., Vialatte F., Weber T., Cichocki A.
Quantifying statistical interdependance by message passing on graphs, PART I: algorithms and applications to neural signals.
Neural Computation, in press.
Dauwels J., Vialatte F., Weber T., Cichocki A.
Quantifying statistical interdependance by message passing on graphs, PART II: Multi-Dimensional Point Processes. Neural Computation, in press.
Vialatte F.B., Solé-Casals J., Dauwels J., Maurice M., Cichocki A. Bump Time-Frequency Toolbox: a Toolbox for Time-Frequency Oscillatory Bursts Extraction in Electrophysiological Signals
BMC Neuroscience, 2009, 10:46.
Vialatte F.B., Bakardjian H., Prasad R., Cichocki, A.
EEG paroxysmal gamma waves during Bhramari Pranayama: a yoga breathing technique
Consciousness and Cognition, in press.
doi:10.1016/j.concog.2008.01.004
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Vialatte F.B., Solé-Casals J., Cichocki A.
EEG windowed statistical wavelet scoring for evaluation and discrimination of muscular artifacts
Physiological Measurement, 2008, 29(12):1435-52.
Vialatte F.B., Cichocki, A.
Split-Test Bonferroni correction for QEEG Statistical Maps. Biological Cybernetics, 2008, 98(4):295-303.
Chen Z., Ohara S., Cao J., Vialatte F.B., Lenz F.A., Cichocki A. Statistical modeling and analysis of laser-evoked potentials of electrocorticogram recordings from awake humans
Computational Intelligence and Neuroscience, vol. 2007, Article ID 10479, 2007.
doi:10.1155/2007/10479.
Woon W.L., Cichocki A., Vialatte F.B., Musha T.
Techniques for early detection of Alzheimer's disease using spontaneous EEG recordings.
Physiological Measurement 2007, 28(4):335-347.
Vialatte F.B., Martin C., Dubois R., Quenet B., Gervais R., Dreyfus G. A machine learning approach to the analysis of time-frequency maps, and its application to neural dynamics
Neural Networks 2007, 20:194-209.
Comment Wall (3 comments)
- At 11:28pm on September 29, 2009,
zulqarnain zahid said… - hi
I m a student of electrical engineering in air university pakistan
i m working on bci as my final year project
i m working on wheel chair control using bci
i will be needing ur help
- At 1:58am on September 28, 2009,
zulqarnain zahid said…
- Assalamo Alaikum
i m a student of electrical engineering in air university pakistan
i m working on bci as my final year project
i m working on wheel chair control using bci
i will be needing ur help
- At 11:38am on August 26, 2009,
Manuel Gamez said… - What´s up Francois!
More than a piece of code, it´s a simulation of an EEG adquisition device performed by simulink blocks (with some parameters of course), without noise, and have de advantage that you can add your pattern recognition code, and run a full simulation of it. The only problem is that you will need a very powerfull computer, because simulink is a very heavy tool for computer resources. You can run a BCI with patient connected almost at real time, only if your code is not too long. For example, I can work with 2 channels with 200 Hz sampling speed, and run patter recogniton arlgorithm (with 4th. level operations) and run my simulation of pointer movement in a intel pentium dual core at 1.6 Ghz, 1Mb caché, 1GB of ram, and leaving windows only with the essential services. Tou will need a little circuit, an audio plug (that you use to connect your headset to the computer audio input), and a Matlab 2007a release or superior. Please write me to see how we can share this info and data. Thans a lot and good day!!!
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