What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuroscience
- Optics
His primary areas of investigation include Neuroscience, SMA*, Supplementary motor area, Time perception and Brain mapping.
In Neuroscience, he works on issues like Cued speech, which are connected to Perception.
In his study, Rhythm, Motor program and Audiology is inextricably linked to Duration, which falls within the broad field of SMA*.
The Time perception study which covers Sensory system that intersects with Interval, Positron emission tomography and Parietal lobe.
His work carried out in the field of Brain mapping brings together such families of science as Stimulus, Putamen, Anterior cingulate cortex, Cortex and Brain activity and meditation.
His study looks at the relationship between Stimulus and fields such as Cognitive psychology, as well as how they intersect with chemical problems.
His most cited work include:
- Functional Anatomy of the Attentional Modulation of Time Estimation (536 citations)
- Is the 'error negativity' specific to errors? (428 citations)
- Activation of the supplementary motor area and of attentional networks during temporal processing. (217 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Neuroscience, Condensed matter physics, Artificial intelligence, Epitaxy and Magnetization.
In most of his Neuroscience studies, his work intersects topics such as SMA*.
The various areas that Franck Vidal examines in his Condensed matter physics study include Thin film, Nanowire and Anisotropy.
His Artificial intelligence research is multidisciplinary, incorporating elements of Algorithm, Computer vision and Pattern recognition.
In his research on the topic of Stimulus, Cognitive psychology is strongly related with Cognition.
His Electrophysiology research integrates issues from Developmental psychology, Audiology and Motor control.
He most often published in these fields:
- Neuroscience (19.34%)
- Condensed matter physics (18.87%)
- Artificial intelligence (15.57%)
What were the highlights of his more recent work (between 2016-2021)?
- Artificial intelligence (15.57%)
- Condensed matter physics (18.87%)
- Algorithm (7.55%)
In recent papers he was focusing on the following fields of study:
Franck Vidal spends much of his time researching Artificial intelligence, Condensed matter physics, Algorithm, Magnetization and Epitaxy.
His studies in Artificial intelligence integrate themes in fields like Computer vision and Pattern recognition.
The concepts of his Condensed matter physics study are interwoven with issues in Isotropy, Nanowire and Diffraction.
His Algorithm research includes elements of Fitness function, Graphics, Evolutionary algorithm, OpenGL Shading Language and Iterative reconstruction.
The Magnetization reversal and Inverse magnetostrictive effect research Franck Vidal does as part of his general Magnetization study is frequently linked to other disciplines of science, such as Ultrashort pulse, Overlayer and Anisotropy, therefore creating a link between diverse domains of science.
His Epitaxy study combines topics in areas such as Optoelectronics, Phase transition and Nanocomposite.
Between 2016 and 2021, his most popular works were:
- Using machine vision to estimate fish length from images using regional convolutional neural networks (10 citations)
- On-line action monitoring of response execution: An electrophysiological study. (10 citations)
- Subthalamic nucleus stimulation, dopaminergic treatment and impulsivity in Parkinson's disease (9 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Optics
The scientist’s investigation covers issues in Artificial intelligence, Fiducial marker, Photogrammetry, Pattern recognition and Neuroscience.
The study incorporates disciplines such as Voronoi diagram and Graphics in addition to Artificial intelligence.
He interconnects Single camera and Machine vision in the investigation of issues within Fiducial marker.
Franck Vidal has researched Pattern recognition in several fields, including Time point and Noise reduction.
His Neuroscience study frequently links to related topics such as Subliminal stimuli.
His work in Dopaminergic tackles topics such as SMA* which are related to areas like Electroencephalography.
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