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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 Dehaene Collège de France Psychologie cognitive expérimentale Année 2025-2026 06 - Qu'est-ce que la conscience, et quels sont ses mécanismes cérébraux ? : Relation entre conscience et mémoire de travail, et applications cliniques
Stanislas Dehaene Collège de France Psychologie cognitive expérimentale Année 2025-2026 05 - Qu'est-ce que la conscience, et quels sont ses mécanismes cérébraux ? : Décours temporel du traitement conscient
Stanislas Dehaene Collège de France Psychologie cognitive expérimentale Année 2025-2026 04 - Qu'est-ce que la conscience, et quels sont ses mécanismes cérébraux ? : La « distillation » des corrélats neuronaux de la perception consciente
Stanislas Dehaene Collège de France Psychologie cognitive expérimentale Année 2025-2026 03 - Qu'est-ce que la conscience, et quels sont ses mécanismes cérébraux ? : L'ignition, une signature cérébrale de l'accès à la conscience
Stanislas Dehaene Collège de France Psychologie cognitive expérimentale Année 2025-2026 02 - Qu'est-ce que la conscience, et quels sont ses mécanismes cérébraux ? : Profondeur et limites du traitement non-conscient : données récentes
Stanislas Dehaene Collège de France Psychologie cognitive expérimentale Année 2025-2026 01 - Qu'est-ce que la conscience, et quels sont ses mécanismes cérébraux ? : Bref historique des recherches sur la conscience et modèle de l'espace de travail neuronal global
Stanislas Dehaene Chaire Psychologie cognitive expérimentale Année 2025-2026 Collège de France Colloque : Seeing the Mind, Educating the Brain Concluding Remarks Colloque - Stanislas Dehaene : Concluding Remarks Stanislas Dehaene
Stanislas Dehaene Chaire Psychologie cognitive expérimentale Année 2025-2026 Collège de France Colloque : Seeing the Mind, Educating the Brain Theme: Human Singularity Scaling Intelligence the Human Way Colloque - Josh Tenenbaum : Scaling Intelligence the Human Way Josh Tenenbaum
Stanislas Dehaene Chaire Psychologie cognitive expérimentale Année 2025-2026 Collège de France Colloque : Seeing the Mind, Educating the Brain Theme: Human Singularity Dissecting the Language of Thought Hypothesis across Marr's Levels Colloque - Mathias Sablé-Meyer : Dissecting the Language of Thought Hypothesis across Marr's Levels Mathias Sablé-Meyer Résumé The 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 Dehaene Chaire Psychologie cognitive expérimentale Année 2025-2026 Collège de France Colloque : Seeing the Mind, Educating the Brain Theme: Human Singularity The What?, How? And Why? Of Behavior: Using Cognitive Computational Models to Answer Distinct Questions about Human Cognition Colloque - Valentin Wyart : The What?, How? And Why? Of Behavior: Using Cognitive Computational Models to Answer Distinct Questions about Human Cognition Valentin Wyart Résumé Quantitative 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 Dehaene Chaire Psychologie cognitive expérimentale Année 2025-2026 Collège de France Colloque : Seeing the Mind, Educating the Brain Theme: Human Singularity Uniquely Human Prediction? Colloque - Floris de Lange : Uniquely Human Prediction? Floris de Lange Résumé The 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 Dehaene Chaire Psychologie cognitive expérimentale Année 2025-2026 Collège de France Colloque : Seeing the Mind, Educating the Brain Theme: Neural Codes in Monkeys and Humans Single-Neuron Correlates of Perception and Memory in the Human Medial Temporal Lobe Colloque - Florian Mormann : Single-Neuron Correlates of Perception and Memory in the Human Medial Temporal Lobe Florian Mormann
Stanislas Dehaene Chaire Psychologie cognitive expérimentale Année 2025-2026 Collège de France Colloque : Seeing the Mind, Educating the Brain Theme: Neural Codes in Monkeys and Humans Do Monkeys See the Way We Do? Colloque - Arun SP : Do Monkeys See the Way We Do? Arun SP Résumé Monkeys 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 Dehaene Chaire Psychologie cognitive expérimentale Année 2025-2026 Collège de France Colloque : Seeing the Mind, Educating the Brain Theme: Space, Time, and Number The Perception and Understanding of Patterns and Graphics Colloque - Lorenzo Ciccione : The Perception and Understanding of Patterns and Graphics Lorenzo Ciccione Résumé Graphics 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 Dehaene Chaire Psychologie cognitive expérimentale Année 2025-2026 Collège de France Colloque : Seeing the Mind, Educating the Brain Theme: Space, Time, and Number How 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 Dehaene Chaire Psychologie cognitive expérimentale Année 2025-2026 Collège de France Colloque : Seeing the Mind, Educating the Brain Theme: Space, Time, and Number Space as the Fabric of Thought Colloque - Manuela Piazza : Space as the Fabric of Thought Manuela Piazza
Stanislas Dehaene Chaire Psychologie cognitive expérimentale Année 2025-2026 Collège de France Colloque : Seeing the Mind, Educating the Brain Theme: Space, Time, and Number Network Coding in Grid Cells and Place Cells: From Space to Memory Colloque - Edvard Moser : Network Coding in Grid Cells and Place Cells: From Space to Memory Edvard Moser
Stanislas Dehaene Chaire Psychologie cognitive expérimentale Année 2025-2026 Collège de France Colloque : Seeing the Mind, Educating the Brain Theme: Perception and Consciousness The Global Workspace Model of Consciousness: Then and Now Colloque - Claire Sergent : The Global Workspace Model of Consciousness: Then and Now Claire Sergent
Stanislas Dehaene Chaire Psychologie cognitive expérimentale Année 2025-2026 Collège de France Colloque : Seeing the Mind, Educating the Brain Theme: Perception and Consciousness Neural Mechanisms of Conscious Visual Perception in Humans Colloque - Biyu Jade He : Neural Mechanisms of Conscious Visual Perception in Humans Biyu Jade He Résumé In 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 Dehaene Chaire Psychologie cognitive expérimentale Année 2025-2026 Collège de France Colloque : Seeing the Mind, Educating the Brain Theme: Perception and Consciousness Building a Theory of Consciousness, One Collaboration at a Time Colloque - Lucia Melloni : Building a Theory of Consciousness, One Collaboration at a Time Lucia Melloni Résumé What 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
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