Sylvain Baillet mainly focuses on Magnetoencephalography, Neuroscience, Electroencephalography, Artificial intelligence and Inverse problem. His work deals with themes such as Electrophysiology, Speech recognition, Cognition, Bayesian probability and Brain mapping, which intersect with Magnetoencephalography. His research in Neuroscience tackles topics such as Cognitive psychology which are related to areas like Memory retention, Theta activity and Rhythm.
His research integrates issues of Brainstorming, Computer graphics and Data visualization in his study of Electroencephalography. His work carried out in the field of Artificial intelligence brings together such families of science as Pattern recognition, Neuroimaging, Computer vision and Signal processing. His research in Inverse problem intersects with topics in Algorithm, Parametric statistics and Iterative reconstruction.
The scientist’s investigation covers issues in Magnetoencephalography, Neuroscience, Artificial intelligence, Electroencephalography and Pattern recognition. In his study, Perception is strongly linked to Audiology, which falls under the umbrella field of Magnetoencephalography. The various areas that Sylvain Baillet examines in his Artificial intelligence study include Machine learning, Inverse problem and Computer vision.
In Inverse problem, Sylvain Baillet works on issues like Algorithm, which are connected to Estimator. His Electroencephalography research is multidisciplinary, relying on both Auditory system and Iterative reconstruction. His research investigates the connection between Stimulus and topics such as Auditory cortex that intersect with problems in Auditory perception.
Sylvain Baillet focuses on Magnetoencephalography, Neuroscience, Auditory cortex, Stimulus and Ictal. Sylvain Baillet has researched Magnetoencephalography in several fields, including Neurophysiology, Perception, Audiology, Cognition and Motor control. Neuroscience is represented through his Brain activity and meditation, Visual cortex, Electroencephalography, Stimulation and Binocular rivalry research.
His Electroencephalography research integrates issues from Neuroimaging, Posterior parietal cortex and Frequency following response. His Auditory cortex study combines topics from a wide range of disciplines, such as Auditory system and Sensory system. The concepts of his Seizure onset zone study are interwoven with issues in Emission computed tomography, Epileptic activity, Computer vision and Artificial intelligence.
Sylvain Baillet mostly deals with Magnetoencephalography, Neuroscience, Cognition, Working memory and Neurophysiology. Sylvain Baillet undertakes multidisciplinary investigations into Magnetoencephalography and Data structure in his work. His studies deal with areas such as Autism and Autism spectrum disorder as well as Neuroscience.
Sylvain Baillet combines subjects such as Dissociation, Electroencephalography, Anterior cingulate cortex and Posterior parietal cortex, Intraparietal sulcus with his study of Working memory. His biological study spans a wide range of topics, including Aging brain, Brain Structure and Function and Flexibility. His Stimulation research includes elements of Network dynamics, Stimulus, Visual Physiology, Brain activity and meditation and Brain mapping.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Brainstorm: a user-friendly application for MEG/EEG analysis
François Tadel;Sylvain Baillet;John C. Mosher;Dimitrios Pantazis.
Computational Intelligence and Neuroscience (2011)
Electromagnetic brain mapping
S. Baillet;J.C. Mosher;R.M. Leahy.
IEEE Signal Processing Magazine (2001)
Timing of the brain events underlying access to consciousness during the attentional blink
Claire Sergent;Sylvain Baillet;Stanislas Dehaene.
Nature Neuroscience (2005)
Brain dynamics underlying the nonlinear threshold for access to consciousness.
Antoine Del Cul;Antoine Del Cul;Antoine Del Cul;Sylvain Baillet;Stanislas Dehaene.
PLOS Biology (2007)
Good practice for conducting and reporting MEG research
Joachim Gross;Sylvain Baillet;Gareth R. Barnes;Richard N. A. Henson.
Brain templates and atlases
Alan C. Evans;Andrew L. Janke;D. Louis Collins;Sylvain Baillet.
A Bayesian approach to introducing anatomo-functional priors in the EEG/MEG inverse problem
S. Baillet;L. Garnero.
IEEE Transactions on Biomedical Engineering (1997)
Magnetoencephalography for brain electrophysiology and imaging.
Nature Neuroscience (2017)
Coherent neural representation of hand speed in humans revealed by MEG imaging.
Karim Jerbi;Jean-Philippe Lachaux;Karim N′Diaye;Dimitrios Pantazis.
Proceedings of the National Academy of Sciences of the United States of America (2007)
A phonological representation in the infant brain.
G Dehaene-Lambertz;S Baillet.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: