Neurobiology of Language and Bilingualism

This study uses a deep learning model to decode speech from neural signals, revealing that frontal and temporal cortex process both feedforward and feedback information during speech production.

The paper investigates neural mechanisms for word reading in bilinguals, finding divergent anatomical distributions but convergent cognitive processing across writing systems.

This paper uses fine-tuned deep language models to model differences in narrative interpretation based on listeners' perspectives, showing alignment with neural responses and cognitive networks.

This study investigates how sustained attention affects N400 and P600 ERP components during sentence processing, finding that P600 amplitudes correlate with attention levels while N400 does not.

The study identifies posterior ventral temporal lobe regions critical for word retrieval, showing that resections beyond 6 cm from the anterior tip significantly impair confrontation naming.

This study investigates relation priming in compound word processing using ERP, finding it occurs independently of morpheme repetition and is activated early with increasing strength over time.

The paper investigates how phonological features of spoken word-forms modulate auditory N1 repetition-attenuation, finding that low-frequency pseudo words show greater attenuation than other conditions.

This study uses MEG and machine learning to classify intertrial phase coherence in language processing across age, finding significant differences in neural circuits across frequency bands and processing types.

The paper introduces a multilingual fMRI corpus using the audiobook The Little Prince to study cross-linguistic differences in language processing.

The paper investigates how conceptual categories are represented in the brain by integrating sensorimotor and distributional semantics, finding that combined semantic vectors best explain activation patterns in specific brain regions.

This study examines how post-stroke bypasses in brain networks predict variance in language functions, finding that bypass length and overlap predict lexical production and auditory comprehension.

This paper tests the perilesional neuroplastic recruitment hypothesis in aphasia using fMRI tasks and finds no evidence for increased activity in perilesional tissue during recovery.

The paper investigates the fronto-temporo-parietal language network across 45 languages, finding its topography and functional properties are robust to cross-linguistic variation.

This study investigates automatic lexical access in bilinguals using EEG, finding that neural responses to words are influenced by language exposure and word-likeness, with bilinguals showing reduced responses to pseudo-words from their native language.

The paper demonstrates the feasibility of co-registering eye tracking with combined EEG and MEG to study natural reading by analyzing brain responses to sentence-final words.

This study uses MEG to analyze spectro-temporal neural dynamics during sentence completion, identifying distinct oscillatory patterns and their spatial characteristics.

The paper compares word computation mechanisms using fMRI data to determine which models best explain neural activity patterns related to language processing.

The paper investigates whether sub-lexical phoneme combinatorics are represented in high-level language brain regions using fMRI experiments with nonwords.

This study investigates whether verb morphology deficits in aphasia occur at the single word or sentence level and examines neuroplastic changes following a morphosemantic intervention.

The paper shows that cortical regions near visual systems combine visual and linguistic information for concepts, while language regions use mostly linguistic information, with concrete concepts containing more visual information.

This study uses a Sentence Gestalt model trained on a large corpus to predict N400 ERP amplitudes during naturalistic sentence processing, supporting the semantic prediction error hypothesis.

This study finds that bilinguals show different patterns of conflict monitoring and attention allocation during a cognitive task, leading to slower responses due to enhanced monitoring.

The paper examines ERP responses to self- and externally generated speech with varying phonotactic probability and syllable stress, finding unexpected N1 amplitude effects and P2 amplitude effects related to stress.

Across 101 listeners, how well GPT-2 layer-8 activations predict fMRI responses to spoken stories tracks story comprehension, with a correlation of R = 0.50 across subject-story pairs.

This study identifies brain regions consistently activated during program comprehension using a meta-analysis of fMRI studies.

This study shows the human brain distinguishes native and nonnative speech within 100 ms using alpha band phase coherence, achieving 90% decoding accuracy.

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

This study investigates brain-behavior relationships in post-stroke anomic aphasia, finding that higher-order cognitive functions, not just language-specific areas, are linked to language production deficits.

The paper shows that phonemic cues improve naming speed in healthy older adults and identifies neural regions affected by these cues.