Claim OwnershipPsychologie cognitive expérimentale - Stanislas Dehaene
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Description
La mission de ce laboratoire est d'analyser les bases cérébrales des fonctions cognitives, chez l'homme normal et chez certains patients neurologiques, en développant et en exploitant les méthodes modernes de la neuro-imagerie conjointement à l'utilisation de paradigmes expérimentaux issus de la psychologie cognitive.
Stanislas Dehaene est ancien élève de l'École normale supérieure et docteur en psychologie cognitive. En septembre 2005, il a été nommé professeur au Collège de France, sur la chaire nouvellement créée de Psychologie cognitive expérimentale, après avoir occupé pendant près de dix ans la fonction de directeur de recherche à l'Inserm. Ses recherches visent à élucider les bases cérébrales des opérations les plus fondamentales du cerveau humain : lecture, calcul, raisonnement, prise de conscience. Ses travaux ont été récompensés par plusieurs prix et subventions, dont le prix Louis D. de la Fondation de France (avec D. Le Bihan), le prix Jean-Louis Signoret de la Fondation Ipsen et la centennial fellowship de la fondation américaine McDonnell.
Les nombres dans le cerveau
Stanislas Dehaene est l'expert reconnu des bases cérébrales des opérations mathématiques, domaine dont il a été le pionnier. Il a conçu de nouveaux tests psychologiques de calcul et de compréhension des nombres, et les a appliqués aux patients atteints de lésions cérébrales et souffrant de troubles du calcul. Son travail a conduit à la découverte que l'intuition des nombres fait appel à des circuits particuliers du cerveau, en particulier ceux du lobe pariétal. Stanislas Dehaene a utilisé les méthodes d'imagerie cérébrale afin d'analyser l'organisation anatomique de ces circuits, mais aussi leur décours temporel, démontrant notamment dans un article paru dans Science en 1999 que le calcul approximatif fait appel à des régions partiellement différentes de celles du calcul exact. En collaboration avec le neurologue Laurent Cohen, il a observé de nouvelles pathologies de ces régions, qui conduisent certains patients « acalculiques » à perdre toute intuition du nombre. Il a également montré des homologies frappantes entre les traitements des nombres chez l'homme et chez l'animal. Ainsi, les fondements de nos capacités arithmétiques trouvent leur origine dans l'évolution du cerveau.
Les travaux de Stanislas Dehaene montrent que des pathologies de la région pariétale, d'origine traumatique ou génétique, peuvent exister chez l'enfant. Elles entraînent une « dyscalculie » – un trouble précoce du développement comparable à la dyslexie, mais affectant l'intuition du nombre. Le diagnostic, la compréhension et la rééducation de la dyscalculie, par le biais de logiciels de jeux éducatifs, constituent des objectifs majeurs du laboratoire. Stanislas Dehaene a résumé ses recherches sur le cerveau et les mathématiques dans un livre à destination du grand public : La Bosse des maths (Éditions Odile Jacob ; Prix Jean Rostand en 1997), dont une édition révisée a été publiée en 2010.
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Stanislas DehaeneChaire Psychologie cognitive expérimentaleAnnée 2025-2026Collège de FranceColloque : Seeing the Mind, Educating the BrainConcluding RemarksColloque - Stanislas Dehaene : Concluding RemarksStanislas Dehaene
Stanislas DehaeneChaire Psychologie cognitive expérimentaleAnnée 2025-2026Collège de FranceColloque : Seeing the Mind, Educating the BrainTheme: Human SingularityScaling Intelligence the Human Way Colloque - Josh Tenenbaum : Scaling Intelligence the Human Way Josh Tenenbaum
Stanislas DehaeneChaire Psychologie cognitive expérimentaleAnnée 2025-2026Collège de FranceColloque : Seeing the Mind, Educating the BrainTheme: Human SingularityDissecting the Language of Thought Hypothesis across Marr's LevelsColloque - Mathias Sablé-Meyer : Dissecting the Language of Thought Hypothesis across Marr's LevelsMathias Sablé-MeyerRésuméThe Language of Thought (LoT) hypothesis posits that mental representations are best understood as programme-like objects; indeed, "thoughts" share properties such as productivity and systematicity with programming languages. I tackle questions that arise from taking this hypothesis at face value and unfolding its predictions, from computational accounts to mechanistic implementation. First, zooming on humans' cognition of geometric shapes, I show that in all human groups tested (adults, children, congenitally blind), the perception of shapes is heavily influenced by geometric features. Then, I show using MEG and fMRI that the neural signature of these exact geometric properties is separate both in timing and localisation from typical visual processes. To generalise beyond quadrilaterals, I commit to a proposition for a generative language of shapes to account for the complexity of geometric shapes in humans, while implementing an algorithm for perception-as-program-inference. Finally, building on recent results in rodent neuroscience, I sketch a research programme and give preliminary results on a mechanistic understanding of how program-like representations might be implemented by populations of neurons.
Stanislas DehaeneChaire Psychologie cognitive expérimentaleAnnée 2025-2026Collège de FranceColloque : Seeing the Mind, Educating the BrainTheme: Human SingularityThe What?, How? And Why? Of Behavior: Using Cognitive Computational Models to Answer Distinct Questions about Human CognitionColloque - Valentin Wyart : The What?, How? And Why? Of Behavior: Using Cognitive Computational Models to Answer Distinct Questions about Human CognitionValentin WyartRésuméQuantitative modeling approaches are routinely used in cognitive science to make sense of behavior. Statistical models are designed to test *what* specific patterns are present in behavior, whereas cognitive computational models are developed to describe *how* specific behavioral patterns may emerge from latent cognitive processes. These two types of modeling approaches have successfully identified characteristic (and sometimes suboptimal) features of human learning and decision-making under uncertainty. In this talk, I will argue that cognitive computational models can be used to answer the distinct question of *why* these characteristic features are there. I will use recent studies that rely on different classes of models (low-dimensional algorithmic models, high-dimensional neural networks) to explain characteristic features of human cognition in terms of latent objectives and constraints.
Stanislas DehaeneChaire Psychologie cognitive expérimentaleAnnée 2025-2026Collège de FranceColloque : Seeing the Mind, Educating the BrainTheme: Human SingularityUniquely Human Prediction?Colloque - Floris de Lange : Uniquely Human Prediction?Floris de LangeRésuméThe brain is fundamentally a predictive organ that uses internal models to extrapolate future events from current inputs. While this predictive capacity exists across species, what may be uniquely human are the specific internal models we employ. Using AI tools to quantify predictability in naturalistic environments, we can examine prediction at multiple levels of abstraction. In my talk I will highlight recent work from the domain of language, music and visual perception, elucidating how uniquely human experiences and capabilities shape our predictive models of the world.
Stanislas DehaeneChaire Psychologie cognitive expérimentaleAnnée 2025-2026Collège de FranceColloque : Seeing the Mind, Educating the BrainTheme: Neural Codes in Monkeys and HumansSingle-Neuron Correlates of Perception and Memory in the Human Medial Temporal LobeColloque - Florian Mormann : Single-Neuron Correlates of Perception and Memory in the Human Medial Temporal LobeFlorian Mormann
Stanislas DehaeneChaire Psychologie cognitive expérimentaleAnnée 2025-2026Collège de FranceColloque : Seeing the Mind, Educating the BrainTheme: Neural Codes in Monkeys and HumansDo Monkeys See the Way We Do?Colloque - Arun SP : Do Monkeys See the Way We Do?Arun SPRésuméMonkeys are widely used as model organisms for vision and cognition. While their anatomy and physiology have strong correspondences with humans, it is unclear whether they truly see the way we do. In most studies, monkeys are extensively trained on specific tasks, leaving us without a more general answer to this question, along with the nagging doubt that the extensive training might have altered their perception. So how do we then test whether monkeys see the way we do?
Stanislas DehaeneChaire Psychologie cognitive expérimentaleAnnée 2025-2026Collège de FranceColloque : Seeing the Mind, Educating the BrainTheme: Space, Time, and NumberThe Perception and Understanding of Patterns and GraphicsColloque - Lorenzo Ciccione : The Perception and Understanding of Patterns and GraphicsLorenzo CiccioneRésuméGraphics are a cultural product, meaning that they are a human invention with defined rules and syntax. In this respect, they are very similar to written words and numbers, probably the two most famous cultural inventions. However, unlike them, graphics have been invented much more recently and they became widespread only in the last two centuries. Furthermore, graphicacy—the ability to read and understand graphics—has received little attention from cognitive psychology. In this talk, I will present some findings about the human ability to intuitively extract statistics and mathematical relations from graphical representations. Specifically, I will show that: graphics' intuitions are available early on in development, independently from formal education, and correlate with statistical and mathematical knowledge; judging the trends of noisy graphical displays recycles brain areas usually devoted to the detection of objects' orientation (in agreement with the neuronal recycling hypothesis) and also activates the brain network for mathematics; both children and adults can extrapolate non-linear mathematical patterns, with the notable exception of quadratic and exponential functions.
Stanislas DehaeneChaire Psychologie cognitive expérimentaleAnnée 2025-2026Collège de FranceColloque : Seeing the Mind, Educating the BrainTheme: Space, Time, and NumberHow Humans Compress Information in Memory: The Language of Thought Hypothesis Colloque - Fosca Al Roumi : How Humans Compress Information in Memory: The Language of Thought Hypothesis Fosca Al Roumi
Stanislas DehaeneChaire Psychologie cognitive expérimentaleAnnée 2025-2026Collège de FranceColloque : Seeing the Mind, Educating the BrainTheme: Space, Time, and NumberSpace as the Fabric of ThoughtColloque - Manuela Piazza : Space as the Fabric of ThoughtManuela Piazza
Stanislas DehaeneChaire Psychologie cognitive expérimentaleAnnée 2025-2026Collège de FranceColloque : Seeing the Mind, Educating the BrainTheme: Space, Time, and NumberNetwork Coding in Grid Cells and Place Cells: From Space to MemoryColloque - Edvard Moser : Network Coding in Grid Cells and Place Cells: From Space to MemoryEdvard Moser
Stanislas DehaeneChaire Psychologie cognitive expérimentaleAnnée 2025-2026Collège de FranceColloque : Seeing the Mind, Educating the BrainTheme: Perception and ConsciousnessThe Global Workspace Model of Consciousness: Then and NowColloque - Claire Sergent : The Global Workspace Model of Consciousness: Then and NowClaire Sergent
Stanislas DehaeneChaire Psychologie cognitive expérimentaleAnnée 2025-2026Collège de FranceColloque : Seeing the Mind, Educating the BrainTheme: Perception and ConsciousnessNeural Mechanisms of Conscious Visual Perception in HumansColloque - Biyu Jade He : Neural Mechanisms of Conscious Visual Perception in HumansBiyu Jade HeRésuméIn this talk, I will discuss insights from our recent work probing the neural mechanisms underlying conscious visual perception in humans by leveraging multimodal neuroimaging and computational approaches. I will focus on the roles of slow cortical potentials and spontaneous ongoing brain activity as revealed by our recent empirical work. I will also discuss neural and computational mechanisms underpinning humans' remarkable one-shot learning capability in visual perception, as well as how lifelong prior knowledge influences conscious perception.
Stanislas DehaeneChaire Psychologie cognitive expérimentaleAnnée 2025-2026Collège de FranceColloque : Seeing the Mind, Educating the BrainTheme: Perception and ConsciousnessBuilding a Theory of Consciousness, One Collaboration at a TimeColloque - Lucia Melloni : Building a Theory of Consciousness, One Collaboration at a TimeLucia MelloniRésuméWhat does it take to transform consciousness from a philosophical puzzle into a scientific theory? Few frameworks have shaped this quest as deeply as Stanislas Dehaene's Global Neuronal Workspace Theory (GNWT). By proposing that conscious access arises through large-scale broadcasting and ignition across fronto-parietal networks, GNWT provided both a conceptual framework and concrete, testable predictions
Stanislas DehaeneChaire Psychologie cognitive expérimentaleAnnée 2025-2026Collège de FranceColloque : Seeing the Mind, Educating the BrainTheme: Perception and ConsciousnessThe Global Neuronal Workspace from the Molecular to the Cognitive Level: Consequences for Pathology and PharmacologyColloque - Jean-Pierre Changeux : The Global Neuronal Workspace from the Molecular to the Cognitive Level: Consequences for Pathology and PharmacologyJean-Pierre ChangeuxRésuméThe global neuronal workspace (GNW) theory originates from decades-long productive dialogs between Dehaene & Changeux which aimed, in the late 80's, at the elaboration of formal neuronal networks of cognitive functions. They initially included birdsong learning by selection, the Wisconsin card sorting task, infants numerosity detection...All these models were grounded on a molecular level which included allosteric neurotransmitter receptors. In 1998, the "global neuronal workspace" was integrated into a formal organism in order to pass the effort-full, "conscious", Stroop task. It was postulated to consist of a brain-scale—multimodal & horizontal—network of widely distributed neurons with long axon neurons, distinct from modality-specific localized non-conscious processors, including neurons which included the prefontal, parieto-temporal, cingulate… areas. The access of an outside representation to the conscious workspace would manifest itself by an "ignition" of the workspace network. At this stage, an important number of imaging and electrophysiological data appear consistent with the GNW theory. In this contribution, emphasis shall be given to the bottomup contribution of the molecular level and its consequences for the understanding of neuropsychiatric diseases and rational drug design, in the larger context of a novel precision pharmacology.
Stanislas DehaeneChaire Psychologie cognitive expérimentaleAnnée 2025-2026Collège de FranceColloque : Seeing the Mind, Educating the BrainTheme: Infancy, Development, and EducationThe state of the State of the Arts of the Language of thought Colloque - Luca Bonatti : The state of the State of the Arts of the Language of thought Luca BonattiRésuméI will revise the state of the art of the current evidence for Language of thought. I will focus on the identification of primitive operation in early infancy, and will speculate on the relation between natural language and logical primitives.
Stanislas DehaeneChaire Psychologie cognitive expérimentaleAnnée 2025-2026Collège de FranceColloque : Seeing the Mind, Educating the BrainTheme: Infancy, Development, and EducationWhy Is Conceptual Learning so Hard?Colloque - Véronique Izard : Why Is Conceptual Learning so Hard?Véronique IzardRésuméLearning concepts can be very difficult, especially in science and mathematics. For instance, children continue to struggle with fractions even after several years of formal instruction on the topic; and adults display persistent difficulties with algebra, biology or physics. Why these failures—and what happens during the long periods of time during which learners are struggling? While most theories of conceptual learning contend that learning proceeds gradually, little step by little step, I will present evidence showing that people experience sudden Eureka moments while learning mathematics. During these episodes, an insight suddenly breaks into consciousness, leading to a leap in understanding. These findings invite us to reconsider learning mechanisms in light of theories of conscious and unconscious processing.
Stanislas DehaeneChaire Psychologie cognitive expérimentaleAnnée 2025-2026Collège de FranceColloque : Seeing the Mind, Educating the BrainTheme: Infancy, Development, and EducationDevelopmental Origins of Human CuriosityColloque - Lisa Feigenson : Developmental Origins of Human CuriosityLisa FeigensonRésuméCuriosity underpins the greatest of human achievements, from exploring the reaches of our solar system to discovering the structure of our own minds. Where does this drive come from? Here I suggest that far from being reliant on language and sophisticated metacognitive skills, curiosity is present from our earliest days. In support of this claim, I discuss work showing that preverbal infants not only experience curiosity but harness it: when babies' predictions fail to accord with their observations, they look longer, learn more, and produce exploratory behaviors. Critically, their exploration is guided by a desire to explain—long before they have the words to describe what they see, babies seek to understand why things happen as they do. In this sense, the curiosity that emerges in infancy lays the foundation for a lifetime of discovery.
Stanislas DehaeneChaire Psychologie cognitive expérimentaleAnnée 2025-2026Collège de FranceColloque : Seeing the Mind, Educating the BrainTheme: Infancy, Development, and EducationDiscovering Combinatorial Affordances of Elements to Form Gestalts: Learning to "See Ideas via Groupitizing and Visual Word FormsColloque - Bruce McCandliss : Discovering Combinatorial Affordances of Elements to Form Gestalts: Learning to "See Ideas via Groupitizing and Visual Word FormsBruce McCandlissRésuméEarly education is a time of transformation in the way children come to see ideas in the world in the world, partly by a process of learning to combine visual elements to form gestalts. In this talk, I will expand upon these combinatorial learning phenomena across two systems that are transformed in the mind and brain by education. First, I will review research on groupitizing, the ability of children to combine their knowledge of small subitizable sets to access the cardinal value of larger sets, and how this emerging ability is intrinsically linked to educational achievement and potentially linked to individual differences in the organization of cortical activity. Secondly, I will review research on the cognitive and neural basis of learning to see visual word forms via combinations of letters, a process also intrinsically linked to success in education.
Stanislas DehaeneChaire Psychologie cognitive expérimentaleAnnée 2025-2026Collège de FranceColloque : Seeing the Mind, Educating the BrainTheme: Numerical and Mathematical DevelopmentSpatiotemporal Dynamics of Arithmetic Computation in the Human BrainColloque - Pedro Pinheiro-Chagas : Spatiotemporal Dynamics of Arithmetic Computation in the Human BrainPedro Pinheiro-ChagasRésuméMathematics is among humanity's most remarkable achievements, yet we still lack a comprehensive understanding of how the brain performs even simple arithmetic. In this talk, I will present a series of studies investigating the encoding of elementary math, as well as the architecture, spatiotemporal dynamics, and causal role of the underlying brain networks. I will show that arithmetic computations selectively activate a distinct network in the human brain, which dissociates from language areas and overlaps with regions related to object recognition, visuospatial attention, working memory and relational reasoning. Next, using machine learning and intracranial recordings in humans, I will demonstrate how we can precisely track the cascade of unfolding representational codes during mental arithmetic, shedding light on the roles of each hub of the math network. Overall, this talk will provide insights into how elementary math concepts are implemented in the brain and, more broadly, show how the case study of math cognition can help us understand the algorithms of human intelligence.
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