François Vialatte - Home Page

 

Current status

Francois Benoit Vialatte on Labmeeting
Research Scientist at LABSP, RIKEN BSI
From September 2010: assistant professor in laboratoire SIGMA, ESPCI ParisTech, Paris, France

News

I'm recruiting outstanding and motivated PhD students and postdoctoral researchers to conduct research at the interface of neuroscience, signal processing and machine learning in Paris.

Research topics include:
- diagnosis of Alzheimer's disease mainly from EEG - but also using DTI, fMRI and other brain signals,
- models for merging different brain imaging modalities (EEG/MEG/fMRI/DTI/single-unit recordings/...),
especially merging SSVEP data recorder using EEG and fMRI,
-  brain-computer interfaces.

These researches will be performed with a strong international mobility emphasis, through partnerships with Japan (Riken BSI, Kyoto University), Singapore (NTU), South Korea (KIST), etc. Please contact me if you're interested (fvialatte[at]brain.riken.jp).

More information on living in Paris can be found here.
Information on student and postdoctoral cheap accomodations in Paris can be found here and here.

Information about various fellowships can be found there:
- Marie Curie international incoming fellowships (deadline 17 august 2010 - 2 years postdoctoral fellowship).
- Human Frontiers Science Program (deadline for pre-registration: 26 august 2010, deadline 9 september 2010 - 3 years postdoctoral fellowship).
- Paris research fellowships (call will re-open in 2011, deadline march 2011 - 1 year postdoctoral fellowship).
- IBRO neuroscience fellowships (March 2011 - 1 year postdoctoral fellowship)
- Fyssen postodctoral fellowship (March 2011 - 2 year postdoctoral fellowship, for young scientists 2 years max. after Ph.D.).
- L'Oreal women en Science fellowships (March 2011 - only for women - 2 year postdoctoral fellowship)

Specific fellowships for Japanese citizens:
- Bourses du gouvernement francais fellowship (deadline 17 september 2010 - 1 year fellowship, Japanese citizen only, Master, PhD or postdoctoral level).
          ==> Citizens from other countries may be eligible to apply with their local French embassy or consulate
          (e.g. Chinese citizens shall apply to the French embassy in China).
- JSPS fellowships (2 year PhD fellowship, 2 or 3 years postodoctoral fellowship, Japanese citizen only).

Specific fellowships for US citizens
- NIAID fellowships (up to 3 years postdoctoral fellowship, US citizen only)

==> Other funding systems exist, so even if your calendar or condition do not match these fellowships, contact me and I will look for a solution.

Resume

- PhD in cognitive neuroscience - Laboratoire d'Electronique in Paris / team Neurobiology de la memoire olfactive in Lyon.
This PhD were supported by a grant from the french ministery of research, in Paris 6 university.
- ME in cognitive neuroscience - Laboratoire d'Electronique in Paris / ELA Medical (Sorin Group company, Le Plessy-Robinson).
graduation from Paris 6 university.
- Computer science engineer (specialization: sciences cognitives et informatique avancee) Diploma, graduation from EPITA.

pdf format curriculum vitae

Publications*
*Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work.Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without explicit permission of the copyright holder.
 

Online research projects
 


journal papers

Dauwels J., Vialatte F.B., Cichocki A.
Early Diagnosis of Alzheimer's Disease from EEG Signals: Where Are We Standing?
Current AD Research, in press.

Vialatte F.B., Maurice M., Dauwels J., Cichocki A.
Steady-State Visually Evoked Potentials: Focus on Essential Paradigms and Future Perspectives.
Progress in Neurobiology, 2010, 90:418-438.

Dauwels J., Vialatte F.B., Musha T., Cichocki A.
A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG
Neuroimage, 2010, 49:668-693.

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,2009, 3(3):251-261.
link (open access)

Dauwels J., Vialatte F., Weber T., Cichocki A.
Quantifying statistical interdependance by message passing on graphs-part II: Multi-Dimensional Point Processes
Neural Computation, 2009, 21(8):2203-2268.
link

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, 2009, 21(8):2152-2202
link

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.
link

Vialatte FB, Bakardjian H, Prasad R, Cichocki A. EEG paroxysmal gamma waves during Bhramari
Pranayama: A yoga breathing technique. Consciousness and Cognition, 2009, 18:977–988.
doi:10.1016/j.concog.2008.01.004
link

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.
link

Vialatte F.B., Cichocki, A.
Split-Test Bonferroni correction for QEEG Statistical Maps
Biological Cybernetics, 2008, 98(4):295-303.
link

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.
link (open access)

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.
link

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.
link
 

journal papers in preparation

Vialatte F.B., Musha T., Cichocki A.
Sparse Bump Sonification: a New Tool for Multichannel EEG Diagnosis of Brain Disorders; Application to the Detection of the Early Stage of Alzheimer’s Disease.

Vialatte F.B., Dauwels J., Maurice M., Musha T., Cichocki A.
Improving EEG specificity to Alzheimer’s disease
 

Book chapters

Latchoumane C.F.V, Vialatte F.B., Jeong J., Cichocki A.
EEG Classification of Mild and Severe Alzheimer's Disease using Parallel Factor Analysis Method
(PARAFAC Decomposition of Spectral-Spatial Characteristics of EEG Time Series)
In Advances in Electrical Engineering and Computational Science,
Edited by Ao S.I., Gelman L.
Springer 2009:705-715.
preprint pdf

Vialatte F.B., Dauwels J., Rutkowski T.M., Cichocki A.
Oscillatory Event Synchrony During Steady State Visual Evoked Potentials.
In Advances in Cognitive Neurodynamics,
Edited by Wang R, Gu F, Shen E,
Springer 2008:439-442.
preprint pdf

Dauwels J., Vialatte F.B., Rutkowski T., Cichocki A.
Measuring Neural Synchrony by Message Passing.
In Advances in Neural Information Processing Systems 20,
Edited by Platt J, Koller D, Singer Y, Roweis S,
Cambridge, MA: MIT Press 2008:361-368.
preprint pdf
 

Conferences

Dauwels J., Vialatte F., Latchoumane C., Jeong J., Cichocki A.
EEG Synchrony Analysis for Early Diagnosis of Alzheimer’s Disease: A Study with Several Synchrony Measures and EEG Data Sets.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
IEEE EMBS, 2009, 1:2224-7.

Vialatte F.B., Sole-Casals J., Hazart A., Prvulovic D., Dauwels J., Pantel J., Haenschel C., Cichocki A.
Modeling transient oscillations in the EEG of patients with mild cognitive impairment.
ICCN 2009, Hangzhou, China, Nov. 15-19 2009,
Springer, in press.

Dauwels J., Vialatte F.B., Cichocki A.
On the Early Diagnosis of Alzheimer’s Disease from EEG Signals: A Mini-Review.
ICCN 2009, Nov. 15-19 2009, Hangzhou, China, Nov. 15-19 2009,
Springer, in press.

Hazart A., Vialatte F., Cichocki A.
Analysis of EEG time series recorded from Alzheimer patients based on their spectral content.
ICCN 2009, Nov. 15-19 2009, Hangzhou, China, Nov. 15-19 2009,
Springer, in press.

Vialatte F.B., Latchoumane C.F., Dauwels J., Maurice M., Jeong J., Cichocki A.
Alzheimer's Disease – Local and Large-Scale Brain Dynamics
European Winter Conference on Brain Research, Les Menuires, France, March 7-14 2009
(invited presentation)

Solé-Casals J., Vialatte F., Haenschel C., Pantel J., Prvulovic D., Cichocki A.
Improving early detection of Alzheimer’s disease using ICA cleaning procedures
Neuromath 2009, Arenberg Castle, Katholieke Universiteit Leuven, Belgium, March 12-13 2009

Solé-Casals J., Vialatte F.B., Chen Z., Cichocki A.
Coherency and sharpness measures by using ICA algorithms. An investigation for Alzheimer’s disease discrimination
2nd International Conference on Bio-inspired systems and signal processing, Porto, Portugal, January 14-17 2009.
Proceedings of Biosignals'09
pdf

Vialatte F.B., Maurice M., Dauwels J., Cichocki A.
Steady State Visual Evoked Potentials in the Delta Range (0.5-5 Hz).
15th International Conference on Neural Information Processing, ICONIP, Auckland, New Zealand, November 25-28 2008
ICONIP 2008, LNCS, Part I, 5506:399–406, published in 2009.
pdf

Vialatte F.B., Dauwels J., Solé-Casals J., Maurice M., Cichocki A.
Improved Sparse Bump Modeling for Electrophysiological Data.
15th International Conference on Neural Information Processing, ICONIP, Auckland, New Zealand, November 25-28 2008
ICONIP 2008, LNCS, Part I, 5506:224-231, published in 2009.
pdf

Vialatte F.B., Solé-Casals J., Maurice M., Latchoumane C., Hudson N., Wimalaratna S., Jeong J., Andrzej C.
Improving the Quality of EEG Data in Patients With Alzheimers Disease Using ICA
15th International Conference on Neural Information Processing, ICONIP, Auckland, New Zealand, November 25-28 2008
ICONIP 2008, LNCS, Part II, 5507:979–986, published in 2009.
pdf

Dauwels J.,  Vialatte F.B., Weber T., Cichocki A.
An exemplar-based statistical model for the dynamics of neural synchrony
15th International Conference on Neural Information Processing, ICONIP, Auckland, New Zealand, November 25-28 2008
ICONIP 2008, LNCS, to appear

Dauwels J., Tsukada Y., Sakumura Y., Ishii S., Aoki K., Nakamura T., Matsuda M., Vialatte F.B., Cichocki A.
On the synchrony of morphological and molecular signaling events in cell migration
15th International Conference on Neural Information Processing, ICONIP, Auckland, New Zealand, November 25-28 2008
ICONIP 2008, LNCS, to appear

Dauwels J., Vialatte F.B., Weber T., Cichocki A.
On similarity measures for spike trains
15th International Conference on Neural Information Processing, ICONIP, Auckland, New Zealand, November 25-28 2008
ICONIP 2008, LNCS, to appear

Dauwels J., Vialatte F., Weber T., Cichocki A.
Analyzing Brain Signals by Combinatorial Optimization.
roceedings of the Forty-Sixth Annual Allerton Conference, September 23-26, 2008, University of Illinois at Urbana-Champaign, IL, USA
(invited paper)

Dauwels J., Weber T., Vialatte F.B.,  Cichocki A.
Quantifying the Similarity of Multiple Multi-Dimensional Point Processes by Integer Programming
with Application to Early  diagnosis of Alzheimer’s Disease from EEG
30th IEEE International Conference of the Engineering in Medicine and Biology Society, EMBC, August 20-24, 2008, Vancouver, BC, Canada.
Proc. IEEE EMBC2008.

Latchoumane C.-F.V., Vialatte F.B., Cichocki A., Jeong J.
Multiway analysis of Alzheimer’s disease: classification based on space-frequency characteristics of EEG time series
World Congress on Engineering 2008, London, United Kingdom, 2-4 July, 2008.
WCE proceedings 2008.

Vialatte F.B., Maurice M., Cichocki A.
Why sparse bump models?
OHBM meeting, Melbourne, Australia, June 15-19 2008.
Neuroimage, 41(S1):S159.
pdf

Vialatte F.B., Maurice M., Dauwels J.,  Cichocki A.
HEEG virtual electrodes for synchrony measures
OHBM meeting, Melbourne, Australia, June 15-19 2008.
Neuroimage, 41(S1):S142.
pdf

Dauwels J., Rutkowski T.M., Vialatte F.B.,  Cichocki A.
On the synchrony of empirical mode decompositions with application to electroencephalography
33rd IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, Las Vegas, Nevada, USA, March 30 - April 4, 2008.
Proc. IEEE ICASSP2008, 473-476.

Solé-Casals J., Vialatte F.B., Chen Z., Cichocki A.
Investigation of ICA algorithms for feature extraction of EEG signals in discrimination of Alzheimer disease
1st International Conference on Bio-inspired systems and signal processing, Funchal, Madeira, Portugal, January 28-31 2008.
Proceedings of Biosignals'08
pdf

Dauwels J., Vialatte F.B., Cichocki A.
On Synchrony Measures for the Detection of Alzheimer's Disease based on EEG
14th International Conference on Neural Information Processing, ICONIP, Kita Kyushu, Japan, November 13-16 2007
LNCS 4984, 112-125.

Dauwels J., Vialatte F.B., Cichocki A.
On a novel measure for synchrony and its application to EEG
Neuro2007, Yokohama, Japan, September 10-12 2007.
Neuroscience Research, 58(S1):S185, 2007.
pdf

Vialatte F.B., Solé-Casals J., Cichocki A.
EEG windowed statistical wavelet deviation for estimation of muscular artifacts.
32nd IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, Honolulu, USA, April 15 - 20, 2007.
Proc IEEE ICASSP 2007, IV:1161-1164.
link

Dauwels J., Vialatte F.B., Cichocki A.
A novel measure for synchrony and its application to neural signals.
32nd IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, Honolulu, USA, April 15 - 20, 2007.
Proc IEEE ICASSP 2007, IV:1165-1168.
link

Vialatte F.B., Cichocki A.
Sparse Bump Sonification: a New Tool for Multichannel EEG Diagnosis of Mental Disorders;
Application to the Detection of the Early Stage of Alzheimer’s Disease.
13th International Conference on Neural Information Processing, ICONIP, Hong Kong, China, October 3-6 2006
LNCS 4234:92-101.
link

Rutkowski T.M., Vialatte F.B., Cichocki A., Mandic D.P., Barros A.K.
Auditory Feedback for Brain Computer Interface Management - An EEG Data Sonification Approach -.
10th International Conference on Knowledge-Based & Intelligent Information & Engineering Systems, KES 2006, Bournemouth, UK, October 9-11 2006
LNAI 4253:1232-1239.
link

Astolfi L., Cincotti F., Mattia D., Babiloni F., Grazia Marciani M., De Vico Fallani F., Mattiocco 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
28th IEEE Conference of the Engineering in Medicine and Biology Society, EMBS, New York City, USA, August 30 - September 3 2006
Proc IEEE EMBS 2006, 976 - 979.
link

Vialatte F.B., Cichocki A., Dreyfus G., Musha T., Rutkowski T., Gervais R.
Blind source separation and sparse bump modelling of time frequency representation of EEG signals: New tools for early detection of Alzheimer's disease
IEEE Workshop on Machine Learning for Signal Processing 2005, Mystic CT, USA, September 28-30
Proc. IEEE MLSP 2005.
link

Vialatte F.B., Cichocki A., Dreyfus G., Musha T., Shishkin S.L., Gervais R.
Early Detection of Alzheimer’s Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG Signals (invited presentation).
International Conference on Artificial Neural Networks 2005, Warsaw, Poland, September 11-15 2005
LNCS 3696:683-692.
(invited paper)
link

Vialatte F.B., Martin C., Ravel N., Quenet B., Dreyfus G., Gervais R.
Oscillatory activity, behaviour and memory, new approaches for LFP signal analysis
35th annual general meeting of the European Brain and Behaviour Neuroscience Society, EBBS, Barcellona, Spain, september 17-20 2003
Acta Neurobiologiae Experimentalis 2003, Vol. 63.
pdf
 

Seminars

Dauwels J., Vialatte F.B., Cichocki A.
Human brain dynamics and synchrony measures, applications to detection of Alzheimer's disease.
Riken Symposium (Wako - Japan), Sept. 2007.

Vialatte F.B., Martin C., Ravel N., Quenet B., Dreyfus G., Gervais R.
Comparing time-frequency patterns in brain signals: a new analysis method
Seminar in Riken Brain Science Institute (Wako - Japan), August 2004.
pdf abstract
pdf document
 

Thesis
 

Vialatte F.B.,
Modélisation en bosses pour l’analyse des motifs oscillatoires reproductibles dans
l’activité de populations neuronales : applications à l’apprentissage olfactif chez
l’animal et à la détection précoce de la maladie d’Alzheimer
PhD Thesis (Paris 6 University)
pdf abstract (french & english)
pdf document (french)

Vialatte F.B.,
Aide au diagnostic d’anomalies cardiaques sur enregistrements électrocardiographiques de longue durée (tracés Holter) à l’aide de chaînes de Markov cachées (Hidden Markov Models ou HMM)
M.Sc. Thesis (Paris 6 University)
pdf abstract (french & english)
pdf document (french)

Vialatte F.B.,
Rapport de stage de fin d'etudes d'ingénieur. Sujet : aide au diagnostic d’anomalies cardiaques sur enregistrements électrocardiographiques de longue durée (tracés Holter) à l’aide de chaînes de Markov cachées (Hidden Markov Models ou HMM)
M.E. Thesis (EPITA)
pdf abstract (english)
pdf document (french)
pdf appendix (french)

Professional fields of interest

- Cognitive Neuroscience,


Calligraphy: Brain - photo from taken at Riken's 10th Nou-Hiroba.
"Cognitive Neuroscience-With its concern about perception, action, memory, language and selective attention-will increasingly come to represent the central focus of all Neurosciences in the 21st century."
Eric R. Kandel, M.D. (Nobel Laureate)
- Machine learning,
- Brain imaging,
- Brain signals.

Personal fields of interest

- Go game (also termed in Japan Igo, in China Wei-qi, or in Corea Baduk),
- Martial arts: karate, aikibudo, kobudo, kendo
- Japanese culture,
- Travelling,
- Trekking.
- My children (Agathe and Jean).
- Visit France: rent my appartment in La Brigue.