2020 - David E. Rumelhart Prize for Contributions to the Theoretical Foundations of Human Cognition
2015 - APA Award for Distinguished Scientific Contributions to Psychology, American Psychological Association
2014 - Mind & Brain Prize, University and Polytechnic of Turin
2014 - The Brain Prize, Lundbeck Foundation For their pioneering research on higher brain mechanisms underpinning such complex human functions as literacy, numeracy, motivated behaviour and social cognition, and for their efforts to understand cognitive and behavioural disorders
2013 - Grand prix de l'Inserm - Institut national de la santé et de la recherche médicale
2010 - Member of the National Academy of Sciences
2009 - Member of Academia Europaea
2003 - Grand Prix scientifique de la Fondation Louis D., Institut de France
Member of the European Molecular Biology Organization (EMBO)
His scientific interests lie mostly in Cognitive psychology, Neuroscience, Cognition, Visual word form area and Communication. His Cognitive psychology study integrates concerns from other disciplines, such as Consciousness, Visual perception, Perception and Numeral system. His work in Neuroscience addresses issues such as Acalculia, which are connected to fields such as Mental calculation.
His research investigates the connection between Cognition and topics such as Cognitive science that intersect with issues in Cognitive neuroscience. His studies deal with areas such as Pure alexia, Speech recognition and Word recognition as well as Visual word form area. His Communication research is multidisciplinary, incorporating elements of Numerosity adaptation effect, Approximate number system, Lateralization of brain function, Brain activity and meditation and Pattern recognition.
His primary areas of study are Cognitive psychology, Neuroscience, Cognition, Artificial intelligence and Consciousness. His Cognitive psychology research integrates issues from Visual perception, Perception and Visual word form area, Reading. His work carried out in the field of Visual word form area brings together such families of science as Speech recognition and Visual cortex.
Stanislas Dehaene combines subjects such as Brain activity and meditation and Communication with his study of Cognition. The various areas that Stanislas Dehaene examines in his Artificial intelligence study include Natural language processing and Pattern recognition. Stanislas Dehaene works mostly in the field of Consciousness, limiting it down to topics relating to Cognitive science and, in certain cases, Dehaene–Changeux model.
Stanislas Dehaene mainly focuses on Artificial intelligence, Cognition, Reading, Neuroscience and Natural language processing. His biological study spans a wide range of topics, including Raw data and Pattern recognition. He interconnects Context, Perception, Finger tracking, Constructed language and Functional magnetic resonance imaging in the investigation of issues within Cognition.
His Reading study combines topics from a wide range of disciplines, such as Cognitive psychology, Word, Speech recognition and Writing system. His Cognitive psychology research includes themes of Visual masking and Blindsight. His research investigates the link between Neuroscience and topics such as Orthographic projection that cross with problems in Dissociation.
His main research concerns Artificial intelligence, Neuroscience, Consciousness, Brain activity and meditation and Cognitive psychology. His Artificial intelligence research incorporates elements of Agreement, Structure, Natural language processing and Pattern recognition. His study in Neuroimaging, Cognition, Numerosity adaptation effect and Cortex falls under the purview of Neuroscience.
His study in Consciousness is interdisciplinary in nature, drawing from both Ethical issues, Engineering ethics and Comprehension. His research in Brain activity and meditation intersects with topics in Representation, Conscious State, Visual cortex and Dehaene–Changeux model. His Cognitive psychology research includes elements of Visual word form area, Age of Acquisition and Learning to read.
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.
The Number Sense: How the Mind Creates Mathematics
The mental representation of parity and number magnitude.
Stanislas Dehaene;Serge Bossini;Pascal Giraux.
Journal of Experimental Psychology: General (1993)
THREE PARIETAL CIRCUITS FOR NUMBER PROCESSING
Stanislas Dehaene;Manuela Piazza;Philippe Pinel;Laurent Cohen.
Cognitive Neuropsychology (2003)
Core systems of number
Lisa Feigenson;Stanislas Dehaene;Elizabeth Spelke.
Trends in Cognitive Sciences (2004)
Towards a cognitive neuroscience of consciousness: basic evidence and a workspace framework.
Stanislas Dehaene;Lionel Naccache.
Varieties of numerical abilities.
Sources of Mathematical Thinking: Behavioral and Brain-Imaging Evidence
S. Dehaene;E. S Spelke;P. Pinel;R. Stanescu.
Conscious, preconscious, and subliminal processing: a testable taxonomy.
Stanislas Dehaene;Stanislas Dehaene;Jean-Pierre Changeux;Jean-Pierre Changeux;Lionel Naccache;Jérôme Sackur.
Trends in Cognitive Sciences (2006)
The visual word form area: spatial and temporal characterization of an initial stage of reading in normal subjects and posterior split-brain patients.
Laurent Cohen;Stanislas Dehaene;Lionel Naccache;Stéphane Lehéricy.
Experimental and Theoretical Approaches to Conscious Processing
Stanislas Dehaene;Jean-Pierre Changeux;Jean-Pierre Changeux.
Profile was last updated on December 6th, 2021.
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