What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuroscience
- Cognition
His main research concerns Categorization, Artificial intelligence, Perception, Facial expression and Communication.
The concepts of his Categorization study are interwoven with issues in Visual perception and Face.
His Artificial intelligence study integrates concerns from other disciplines, such as Pattern recognition, Statistics and Natural language processing.
Philippe G. Schyns studied Perception and Cognition that intersect with Face perception and Brain damage.
His studies in Facial expression integrate themes in fields like Cognitive psychology, Disgust and Amygdala.
The various areas that he examines in his Communication study include Facial recognition system, Spatial frequency and Computer vision.
His most cited work include:
- A mechanism for impaired fear recognition after amygdala damage (1032 citations)
- From Blobs to Boundary Edges: Evidence for Time- and Spatial-Scale-Dependent Scene Recognition (561 citations)
- From Blobs to Boundary Edges: Evidence for Time- and Spatial-Scale-Dependent Scene Recognition (561 citations)
What are the main themes of his work throughout his whole career to date?
Philippe G. Schyns mainly focuses on Cognitive psychology, Artificial intelligence, Perception, Categorization and Facial expression.
His Artificial intelligence research incorporates elements of Natural language processing, Computer vision and Pattern recognition.
As a part of the same scientific study, Philippe G. Schyns usually deals with the Perception, concentrating on Cognitive science and frequently concerns with Brain activity and meditation.
The study incorporates disciplines such as Communication, Electroencephalography, Stimulus, Information processing and Visual perception in addition to Categorization.
Philippe G. Schyns has included themes like Spatial frequency and Face perception in his Communication study.
His research investigates the connection between Facial expression and topics such as Anger that intersect with problems in Emotion classification.
He most often published in these fields:
- Cognitive psychology (30.80%)
- Artificial intelligence (31.56%)
- Perception (30.04%)
What were the highlights of his more recent work (between 2017-2021)?
- Cognitive psychology (30.80%)
- Perception (30.04%)
- Artificial intelligence (31.56%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Cognitive psychology, Perception, Artificial intelligence, Face and Facial expression.
His work on Set as part of general Cognitive psychology study is frequently linked to Cultural diversity, therefore connecting diverse disciplines of science.
Philippe G. Schyns has researched Perception in several fields, including Feature based and Cortex.
His studies deal with areas such as Machine learning and Pattern recognition as well as Artificial intelligence.
His study in Face is interdisciplinary in nature, drawing from both Categorization, Generative model, Human–computer interaction and Information processing.
The study incorporates disciplines such as Anger and Speech recognition in addition to Facial expression.
Between 2017 and 2021, his most popular works were:
- Distinct facial expressions represent pain and pleasure across cultures (25 citations)
- Dynamic Construction of Reduced Representations in the Brain for Perceptual Decision Behavior. (20 citations)
- Representational interactions during audiovisual speech entrainment: Redundancy in left posterior superior temporal gyrus and synergy in left motor cortex. (17 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Cognition
His primary scientific interests are in Facial expression, Artificial intelligence, Cognitive psychology, Perception and Face.
As part of the same scientific family, Philippe G. Schyns usually focuses on Facial expression, concentrating on Set and intersecting with Social skills and Dynamics.
All of his Artificial intelligence and Residual neural network, Convolutional neural network and Categorization investigations are sub-components of the entire Artificial intelligence study.
His research in Cognitive psychology focuses on subjects like Face, which are connected to Mental representation.
Philippe G. Schyns focuses mostly in the field of Mental representation, narrowing it down to matters related to Generalization and, in some cases, Cognition.
His Face research is multidisciplinary, incorporating elements of Speech recognition, Mutual information and Electroencephalography.
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