Area of research
Cognitive Neuroscience · Developmental and Educational Psychology
Research interest
Research interests include Neurobiology of Language and Bilingualism, Reading and Literacy Development, Language Development and Disorders, and Action Observation and Synchronization.
Dissociating language and thought in large language models
The language network as a natural kind within the broader landscape of the human brain
Driving and suppressing the human language network using large language models
What we mean when we say semantic: Toward a multidisciplinary semantic glossary
Language in Brains, Minds, and Machines
Semantic encoding during language comprehension at single-cell resolution
Artificial Neural Network Language Models Predict Human Brain Responses to Language Even After a Developmentally Realistic Amount of Training
Distributed Sensitivity to Syntax and Semantics throughout the Language Network
Functional characterization of the language network of polyglots and hyperpolyglots with precision fMRI
Cognitive Computational Neuroscience of Language: Using Computational Models to Investigate Language Processing in the Brain
Event Knowledge in Large Language Models: The Gap Between the Impossible and the Unlikely
A fine-grained comparison of pragmatic language understanding in humans and language models
Non-literal language processing is jointly supported by the language and theory of mind networks: Evidence from a novel meta-analytic fMRI approach
An investigation across 45 languages and 12 language families reveals a universal language network
Semantic projection recovers rich human knowledge of multiple object features from word embeddings
Probabilistic atlas for the language network based on precision fMRI data from >800 individuals
Robust Effects of Working Memory Demand during Naturalistic Language Comprehension in Language-Selective Cortex
Precision fMRI reveals that the language-selective network supports both phrase-structure building and lexical access during language production
Interpretability of artificial neural network models in artificial intelligence versus neuroscience
The neural architecture of language: Integrative modeling converges on predictive processing
Incremental Language Comprehension Difficulty Predicts Activity in the Language Network but Not the Multiple Demand Network
The Language Network Is Recruited but Not Required for Nonverbal Event Semantics
An ERP index of real-time error correction within a noisy-channel framework of human communication
Broca’s Area Is Not a Natural Kind
Lack of selectivity for syntax relative to word meanings throughout the language network
The Domain-General Multiple Demand (MD) Network Does Not Support Core Aspects of Language Comprehension: A Large-Scale fMRI Investigation
Activity in the fronto-parietal multiple-demand network is robustly associated with individual differences in working memory and fluid intelligence
No evidence for differences among language regions in their temporal receptive windows
The Natural Stories corpus: a reading-time corpus of English texts containing rare syntactic constructions
fMRI reveals language-specific predictive coding during naturalistic sentence comprehension