Neurocomputational models of language processing

JT Hale, L Campanelli, J Li, S Bhattasali… - Annual Review of …, 2022 - annualreviews.org
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 …

Toward a realistic model of speech processing in the brain with self-supervised learning

J Millet, C Caucheteux, Y Boubenec… - Advances in …, 2022 - proceedings.neurips.cc
Several deep neural networks have recently been shown to generate activations similar to
those of the brain in response to the same input. These algorithms, however, remain largely …

Computational language modeling and the promise of in silico experimentation

S Jain, VA Vo, L Wehbe, AG Huth - Neurobiology of Language, 2024 - direct.mit.edu
Abstract Language neuroscience currently relies on two major experimental paradigms:
controlled experiments using carefully hand-designed stimuli, and natural stimulus …

Le Petit Prince multilingual naturalistic fMRI corpus

J Li, S Bhattasali, S Zhang, B Franzluebbers, WM Luh… - Scientific data, 2022 - nature.com
Neuroimaging using more ecologically valid stimuli such as audiobooks has advanced our
understanding of natural language comprehension in the brain. However, prior naturalistic …

Information-restricted neural language models reveal different brain regions' sensitivity to semantics, syntax, and context

A Pasquiou, Y Lakretz, B Thirion… - Neurobiology of …, 2023 - direct.mit.edu
A fundamental question in neurolinguistics concerns the brain regions involved in syntactic
and semantic processing during speech comprehension, both at the lexical (word …

Modeling Structure‐Building in the Brain With CCG Parsing and Large Language Models

M Stanojević, JR Brennan, D Dunagan… - Cognitive …, 2023 - Wiley Online Library
To model behavioral and neural correlates of language comprehension in naturalistic
environments, researchers have turned to broad‐coverage tools from natural‐language …

Le petit prince hong kong (lpphk): Naturalistic fmri and eeg data from older cantonese speakers

M Momenian, Z Ma, S Wu, C Wang, J Brennan, J Hale… - Scientific data, 2024 - nature.com
Currently, the field of neurobiology of language is based on data from only a few Indo-
European languages. The majority of this data comes from younger adults neglecting other …

Unraveling the functional attributes of the language connectome: crucial subnetworks, flexibility and variability

E Roger, LR De Almeida, H Loevenbruck… - NeuroImage, 2022 - Elsevier
Abstract Language processing is a highly integrative function, intertwining linguistic
operations (processing the language code intentionally used for communication) and extra …

Deep neural networks and brain alignment: Brain encoding and decoding (survey)

SR Oota, Z Chen, M Gupta, RS Bapi, G Jobard… - arxiv preprint arxiv …, 2023 - arxiv.org
Can we obtain insights about the brain using AI models? How is the information in deep
learning models related to brain recordings? Can we improve AI models with the help of …

[HTML][HTML] Modulation of brain activity by psycholinguistic information during naturalistic speech comprehension and production

W Wu, M Morales, T Patel, MJ Pickering, P Hoffman - Cortex, 2022 - Elsevier
Abstract Language processing requires the integration of diverse sources of information
across multiple levels of processing. A range of psycholinguistic properties have been …