The role of the dorsolateral prefrontal cortex for speech and language processing
I Hertrich, S Dietrich, C Blum… - Frontiers in human …, 2021 - frontiersin.org
This review article summarizes various functions of the dorsolateral prefrontal cortex
(DLPFC) that are related to language processing. To this end, its connectivity with the left …
(DLPFC) that are related to language processing. To this end, its connectivity with the left …
Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns
A Goldstein, A Grinstein-Dabush, M Schain… - Nature …, 2024 - nature.com
Contextual embeddings, derived from deep language models (DLMs), provide a continuous
vectorial representation of language. This embedding space differs fundamentally from the …
vectorial representation of language. This embedding space differs fundamentally from the …
The use of narrative in science and health communication: a scoping review
MZ Dudley, GK Squires, TM Petroske, S Dawson… - Patient Education and …, 2023 - Elsevier
Background Many people deny science and reject health recommendations despite widely
distributed facts and statistics. Didactic science and health communication is often dry, and …
distributed facts and statistics. Didactic science and health communication is often dry, and …
[图书][B] Cognitive neuroscience of language
D Kemmerer - 2022 - taylorfrancis.com
Cognitive Neuroscience of Language provides an up-to-date, wide-ranging, and
pedagogically practical survey of the most important developments in this exciting field. It …
pedagogically practical survey of the most important developments in this exciting field. It …
[HTML][HTML] Deep neural networks reveal topic-level representations of sentences in medial prefrontal cortex, lateral anterior temporal lobe, precuneus, and angular gyrus
When reading a sentence, individual words can be combined to create more complex
meaning. In this study, we sought to uncover brain regions that reflect the representation of …
meaning. In this study, we sought to uncover brain regions that reflect the representation of …
Predicting the next sentence (not word) in large language models: What model-brain alignment tells us about discourse comprehension
Current large language models (LLMs) rely on word prediction as their backbone pretraining
task. Although word prediction is an important mechanism underlying language processing …
task. Although word prediction is an important mechanism underlying language processing …
Perceptual coupling and decoupling of the default mode network during mind-wandering and reading
While reading, our mind can wander to unrelated autobiographical information, creating a
perceptually decoupled state detrimental to narrative comprehension. To understand how …
perceptually decoupled state detrimental to narrative comprehension. To understand how …
Correspondence between the layered structure of deep language models and temporal structure of natural language processing in the human brain
Deep language models (DLMs) provide a novel computational paradigm for how the brain
processes natural language. Unlike symbolic, rule-based models described in …
processes natural language. Unlike symbolic, rule-based models described in …
Probing word syntactic representations in the brain by a feature elimination method
Neuroimaging studies have identified multiple brain regions that are associated with
semantic and syntactic processing when comprehending language. However, existing …
semantic and syntactic processing when comprehending language. However, existing …
The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models
Deep Language Models (DLMs) provide a novel computational paradigm for understanding
the mechanisms of natural language processing in the human brain. Unlike traditional …
the mechanisms of natural language processing in the human brain. Unlike traditional …