Guillaume A. Rousselet spends much of his time researching Artificial intelligence, Communication, Categorization, Visual processing and Electroencephalography. Guillaume A. Rousselet interconnects Stimulus, Computer vision and Pattern recognition in the investigation of issues within Artificial intelligence. The concepts of his Stimulus study are interwoven with issues in Cognition, Mental rotation and Visual Objects.
His Categorization study deals with Information processing intersecting with Visual perception, Pattern recognition, Prefrontal cortex and Orientation. His Visual processing research incorporates elements of Speech recognition and Event-related potential. His research in Electroencephalography intersects with topics in Linear model and Parametric statistics.
The scientist’s investigation covers issues in Artificial intelligence, Categorization, Communication, Electroencephalography and Speech recognition. His work deals with themes such as Visual perception, Visual processing, Computer vision and Pattern recognition, which intersect with Artificial intelligence. His Categorization research includes elements of Amplitude, Face, Task and Information processing.
The various areas that Guillaume A. Rousselet examines in his Information processing study include Cognitive science, Perception, Cognition and Face detection. His Communication study combines topics from a wide range of disciplines, such as Parallel processing, Cognitive neuroscience of visual object recognition and Scene statistics. His Electroencephalography research incorporates themes from Stimulus, Cognitive psychology, Linear regression and Audiology.
Guillaume A. Rousselet mainly investigates Artificial intelligence, Outlier, Cognitive psychology, Sentence and N400. Guillaume A. Rousselet applies his multidisciplinary studies on Artificial intelligence and Complement in his research. His studies deal with areas such as Non normality, Correlation and Data science as well as Outlier.
His Correlation study integrates concerns from other disciplines, such as Focus and Multivariate outliers. His Cognitive psychology research includes themes of Perception, Young adult, Stimulus, Brain activity and meditation and Semantic memory. His research integrates issues of General linear model, Linear model, Synthetic data and Statistical power in his study of Pattern recognition.
His scientific interests lie mostly in Sentence, N400, Meaning, Artificial intelligence and Cognitive psychology. Meaning is integrated with Prediction in language comprehension and Replication in his research. Prediction in language comprehension is integrated with Phonology, Natural language processing, Bayesian probability, Bayes factor and Noun in his study.
His work on Statistical inference expands to the thematically related Artificial intelligence. Guillaume A. Rousselet works mostly in the field of Cognitive psychology, limiting it down to topics relating to Semantic memory and, in certain cases, Semantic similarity. His Context investigation overlaps with other disciplines such as Comprehension and Facilitation.
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Parallel processing in high-level categorization of natural images.
Guillaume A. Rousselet;Michèle Fabre-Thorpe;Simon J. Thorpe.
Nature Neuroscience (2002)
Robust correlation analyses: false positive and power validation using a new open source matlab toolbox.
Cyril R Pernet;Rand R Wilcox;Guillaume A Rousselet.
Frontiers in Psychology (2013)
Processing scene context: fast categorization and object interference.
Olivier R. Joubert;Guillaume A. Rousselet;Denis Fize;Denis Fize;Michèle Fabre-Thorpe;Michèle Fabre-Thorpe.
Vision Research (2007)
How long to get to the “gist” of real-world natural scenes?
Guillaume A. Rousselet;Olivier R. Joubert;Michèle Fabre-Thorpe.
Visual Cognition (2005)
Is it an animal? Is it a human face? Fast processing in upright and inverted natural scenes.
Guillaume A. Rousselet;Marc J.-M. Macé;Michèle Fabre-Thorpe.
Journal of Vision (2003)
How parallel is visual processing in the ventral pathway
Guillaume A. Rousselet;Simon J. Thorpe;Michèle Fabre-Thorpe.
Trends in Cognitive Sciences (2004)
Interaction of top-down and bottom-up processing in the fast visual analysis of natural scenes.
Arnaud Delorme;Guillaume A Rousselet;Marc J.-M Macé;Michèle Fabre-Thorpe.
Cognitive Brain Research (2004)
LIMO EEG: a toolbox for hierarchical linear modeling of electroencephalographic data
Cyril R. Pernet;Nicolas Chauveau;Carl Gaspar;Guillaume A. Rousselet.
Computational Intelligence and Neuroscience (2011)
Early interference of context congruence on object processing in rapid visual categorization of natural scenes.
Olivier R Joubert;Denis Fize;Guillaume A Rousselet;Michèle Fabre-Thorpe.
Journal of Vision (2008)
Vocal attractiveness increases by averaging.
Laetitia Bruckert;Laetitia Bruckert;Patricia Bestelmeyer;Marianne Latinus;Julien Rouger.
Current Biology (2010)
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