What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuroscience
- Statistics
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.
His most cited work include:
- Brainstorm: a user-friendly application for MEG/EEG analysis (1545 citations)
- Electromagnetic brain mapping (1301 citations)
- Timing of the brain events underlying access to consciousness during the attentional blink (636 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Magnetoencephalography (48.58%)
- Neuroscience (37.74%)
- Artificial intelligence (30.19%)
What were the highlights of his more recent work (between 2018-2021)?
- Magnetoencephalography (48.58%)
- Neuroscience (37.74%)
- Auditory cortex (5.19%)
In recent papers he was focusing on the following fields of study:
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.
Between 2018 and 2021, his most popular works were:
- Two Distinct Neural Timescales for Predictive Speech Processing (40 citations)
- MEG/EEG Group Analysis With Brainstorm. (37 citations)
- Musicians at the Cocktail Party: Neural Substrates of Musical Training During Selective Listening in Multispeaker Situations (19 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Statistics
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.
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