Neurocomputational models of language processing
Efforts to understand the brain bases of language face the Map** Problem: At what level
do linguistic computations and representations connect to human neurobiology? We review …
do linguistic computations and representations connect to human neurobiology? We review …
Computational language modeling and the promise of in silico experimentation
Abstract Language neuroscience currently relies on two major experimental paradigms:
controlled experiments using carefully hand-designed stimuli, and natural stimulus …
controlled experiments using carefully hand-designed stimuli, and natural stimulus …
Naturalistic stimuli: A paradigm for multiscale functional characterization of the human brain
Movies, audio stories, and virtual reality are increasingly used as stimuli for functional brain
imaging. Such naturalistic paradigms are in sharp contrast to the tradition of experimental …
imaging. Such naturalistic paradigms are in sharp contrast to the tradition of experimental …
Le Petit Prince multilingual naturalistic fMRI corpus
Neuroimaging using more ecologically valid stimuli such as audiobooks has advanced our
understanding of natural language comprehension in the brain. However, prior naturalistic …
understanding of natural language comprehension in the brain. However, prior naturalistic …
Eelbrain, a Python toolkit for time-continuous analysis with temporal response functions
Even though human experience unfolds continuously in time, it is not strictly linear; instead,
it entails cascading processes building hierarchical cognitive structures. For instance, during …
it entails cascading processes building hierarchical cognitive structures. For instance, during …
A synchronized multimodal neuroimaging dataset for studying brain language processing
We present a synchronized multimodal neuroimaging dataset for studying brain language
processing (SMN4Lang) that contains functional magnetic resonance imaging (fMRI) and …
processing (SMN4Lang) that contains functional magnetic resonance imaging (fMRI) and …
From form (s) to meaning: Probing the semantic depths of language models using multisense consistency
The staggering pace with which the capabilities of large language models (LLMs) are
increasing, as measured by a range of commonly used natural language understanding …
increasing, as measured by a range of commonly used natural language understanding …
Unraveling the functional attributes of the language connectome: crucial subnetworks, flexibility and variability
Abstract Language processing is a highly integrative function, intertwining linguistic
operations (processing the language code intentionally used for communication) and extra …
operations (processing the language code intentionally used for communication) and extra …
Decoding part-of-speech from human EEG signals
This work explores techniques to predict Part-of-Speech (PoS) tags from neural signals
measured at millisecond resolution with electroencephalography (EEG) during text reading …
measured at millisecond resolution with electroencephalography (EEG) during text reading …
Exploring temporal sensitivity in the brain using multi-timescale language models: An EEG decoding study
The brain's ability to perform complex computations at varying timescales is crucial, ranging
from understanding single words to gras** the overarching narrative of a story. Recently …
from understanding single words to gras** the overarching narrative of a story. Recently …