Peter Hagoort A

This study examines how individual cognitive differences influence neural responses during language tasks using fMRI and cognitive assessments in a large adult sample.

This study investigates how individual differences in speech monitoring relate to functional and structural brain correlates under delayed auditory feedback.

The paper investigates how the brain maintains and retrieves words during language comprehension, finding that memory is activity-silent and structured, with reactivation in specific brain regions.

The paper examines individual variability in susceptibility to auditory feedback manipulations and finds distinct processing mechanisms for different types of manipulations.

This study shows dendritic nonlinearities, particularly NMDA receptors, can drive Up-Down states in cortical neurons independently of network activity.

This study investigates neural representations of compositional processing during sentence production using fMRI, finding distributed brain activity and specific encoding in the left inferior frontal gyrus for event-specific semantic structures.

This study examines how social anxiety affects Theory of Mind activation and neural variability during movie viewing, finding reduced left pSTS activation and distinct neural response patterns in socially anxious individuals.

The paper investigates whether reduced spontaneous mentalizing or broader difficulties explain social interaction challenges in autism using fMRI and pupillometry during a movie narrative.

The paper tests models of syntactic structure processing during Dutch story listening using neural activity and finds that a predictive top-down parser best matches brain dynamics.

This study compares syntactic processing in speaking and listening by analyzing neural dynamics during naturalistic tasks, finding divergent patterns in structure building.

This study investigates how attention affects auditory and visual processing and their integration during multimodal communication using MEG and RIFT.

The paper investigates how sentence context constraints and predictive validity affect neural responses during reading, finding that N400 amplitude decreases with higher context constraints, while alpha power shows a non-monotonic pattern.

The paper shows dendritic networks with STDP can form and reactivate sequential memories based on phoneme order, outperforming point neuron networks.

The paper introduces the Tripod neuron model, a simplified dendritic structure that captures complex dendritic computations like coincidence detection and temporal binding.

This study uses brain recordings and a deep neural network to show that predictions occur at multiple levels during language comprehension.

The paper investigates whether neural tracking of speech reflects speech intelligibility by comparing neural responses to degraded speech before and after training.

This paper uses intracranial recordings to show that the posterior superior temporal sulcus encodes both lexical and phrase structure in minimal phrases, with distinct timing and spatial patterns.

This study shows that more intelligible distracting speech reduces neural tracking of target speech in the delta range, impairing comprehension.

This study examines how syntactic complexity affects sentence processing in the human brain across speech and reading, identifying supramodal and modality-specific neural responses in over 200 participants.

The paper examines how prediction and preview influence reading times and skipping in natural reading, finding they do not affect skipping but significantly impact reading times.

The paper investigates how lexical frequency and sentence context affect brain responses to words using MEG data, finding frequency has independent effects while context influences brain signals differently.

This study uses MEG and MVPA to investigate if the brain encodes hierarchical linguistic structure during sentence comprehension, finding no evidence of such representations.

The paper tests if predictive eye movements in speech occur in naturalistic settings, finding robust anticipatory behavior despite distractions, but not when referents are in peripheral vision.

The paper investigates how a spiking network model of sentence comprehension uses neuronal memory to assign semantic roles and resolve binding relations in language input without relying on persistent activity or synaptic plasticity.

The paper identifies shared neural activation patterns between speakers and listeners during the processing of coherent multi-sentence discourse, highlighting mechanisms for communication of conceptual representations.

The paper identifies a brain network for language processing that is independent of sensory modality by analyzing neuromagnetic signals from reading and listening tasks.

This study investigates whether alpha/beta oscillations reflect language prediction by measuring neural responses to sentences with varying predictability levels, finding non-monotonic power modulations that suggest a role in attention or control rather than direct prediction.

This study investigates how transcranial alternating current stimulation (tACS) at different frequencies affects the perception of spoken words, finding a significant effect when words are presented in sentences but not in isolation.

This study demonstrates that laminar fMRI can reveal directed connectivity in whole-brain networks during language processing by identifying top-down signal contributions in language-critical regions.

This study examines brain activation during sentence production with different verb structures and lexical status, finding increased activation in language networks for complex structures and known verbs.