Stanislas Dehaene

This study trains baboons on geometric concepts and finds they can learn geometric properties but do not show human-like sensitivity to geometric regularity in shape recognition tasks.

The paper shows that humans encode sequences with order-based structure as mental programs, improving recall accuracy and predicting motor production patterns.

This study uses fMRI to identify two distinct cortical networks in the human brain for syntactic and semantic processing during language tasks.

This study investigates how the brain encodes elementary mathematical concepts using fMRI and MEG, finding semantic similarity in neural activations across arithmetic and geometry domains.

The paper investigates how vlPFC encodes visual information in two stages during natural vision, showing an early coarse estimate followed by a rich representation.

The paper investigates how the brain represents fractions and integers, finding a shared semantic space in the cortex that integrates both.

This study investigates hierarchical vs. sequential computations in sentence processing using MEG, finding dominance of hierarchical processing and memory-based interference over prediction-based interference.

The paper investigates whether late metastable brain activity can serve as a signature of conscious access in the absence of the P3b signal, finding consistent temporal generalization patterns across different stimuli.

This study uses longitudinal fMRI to track how neural responses to math and non-math statements develop in children from preschool to second grade, identifying changes in brain networks and activation patterns.

This study investigates the neural mechanisms of geometric shape perception in humans using fMRI and MEG, finding distinct brain activation patterns and suggesting a symbolic mode of visual processing.

This study uses fMRI to identify distinct brain networks for language, mathematics, and social knowledge, showing similar activation patterns across written and spoken modalities.

The paper uses fMRI to study how brain regions respond to noun and verb phrases of varying lengths, finding greater activation for verb phrases.

The paper shows that orthographic training enhances ordinal position sensitivity in IT cortex neurons of macaques, supporting the neuronal recycling hypothesis for reading.

This study shows that low-dose ketamine impairs conscious access in healthy participants, correlating with psychotic-like symptoms but not manic-like ones, and affecting early visual processing.

This study investigates semantic tuning of concept cells in the human medial temporal lobe, finding graded responses and region-specific categorical profiles.

The paper identifies category-preferring patches in the human orbitofrontal cortex using fMRI, showing similar organization and function to the ventral occipitotemporal cortex.

This study uses fMRI and MEG to show how the brain encodes letter positions in words, transitioning from retinotopic to ordinal codes in higher visual areas.

This study examines how education and music training influence early abstraction abilities in children through behavioral experiments.

This study uses 7T fMRI to compare neural activity during visual mental imagery and perception in typical imagers and aphantasic individuals, revealing differences in brain connectivity.

This study uses fMRI to compare neural responses to reversible symbolic associations in humans and monkeys, finding humans show surprise in both directions while monkeys only in the learned direction.

This study tests if non-human primates can perform linear regression on graphs, finding baboons use statistical reasoning similar to humans.

The paper shows that mice use distinct cellular mechanisms to predict different levels of regularity in sound sequences, with VIP neurons signaling global structure violations during wakefulness.

The paper identifies modality-specific and amodal language processing by single neurons using neural recordings from patients during sentence comprehension.

The paper maps the semantic space of math concepts using Wikipedia data and behavioral judgments, showing that vector embeddings explain half of human similarity judgments and that education level affects familiarity and similarity.

The paper shows that pronouns reactivate noun-specific neurons in the human hippocampus during reading, linking memory and language at the single-cell level.

This study creates normative brain growth charts for rhesus macaques across their lifespan using MRI data, revealing developmental milestones and cross-species comparisons with humans.

This study identifies network temporal dynamics as a reliable signature of consciousness levels during anesthesia using fMRI data from macaques.

This study shows that macaque prefrontal cortex encodes visual sequences by separating specific image content from abstract sequential structure without task demands.

This study uses computational models and brain imaging to uncover how neural circuits achieve invariant word recognition by encoding ordinal positions as 'space bigrams'.

The paper uses brain imaging to show that human memory compresses binary sound sequences using recursive structures, with brain activity reflecting sequence complexity and prediction difficulty.