[HTML][HTML] Evaluating information-theoretic measures of word prediction in naturalistic sentence reading
C Aurnhammer, SL Frank - Neuropsychologia, 2019 - Elsevier
We review information-theoretic measures of cognitive load during sentence processing that
have been used to quantify word prediction effort. Two such measures, surprisal and next …
have been used to quantify word prediction effort. Two such measures, surprisal and next …
The neural architecture of language: Integrative modeling converges on predictive processing
The neuroscience of perception has recently been revolutionized with an integrative
modeling approach in which computation, brain function, and behavior are linked across …
modeling approach in which computation, brain function, and behavior are linked across …
Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forward
Most current accounts of language comprehension agree on a role for prediction, but they
disagree on the importance of domain-general executive resources in predictive behavior. In …
disagree on the importance of domain-general executive resources in predictive behavior. In …
[PDF][PDF] On the predictive power of neural language models for human real-time comprehension behavior
EG Wilcox - arXiv preprint arXiv:2006.01912, 2020 - escholarship.org
Human reading behavior is tuned to the statistics of natural language: the time it takes
human subjects to read a word can be predicted from estimates of the word's probability in …
human subjects to read a word can be predicted from estimates of the word's probability in …
fMRI reveals language-specific predictive coding during naturalistic sentence comprehension
Much research in cognitive neuroscience supports prediction as a canonical computation of
cognition across domains. Is such predictive coding implemented by feedback from higher …
cognition across domains. Is such predictive coding implemented by feedback from higher …
Lossy‐context surprisal: An information‐theoretic model of memory effects in sentence processing
A key component of research on human sentence processing is to characterize the
processing difficulty associated with the comprehension of words in context. Models that …
processing difficulty associated with the comprehension of words in context. Models that …
Revisiting the uniform information density hypothesis
The uniform information density (UID) hypothesis posits a preference among language
users for utterances structured such that information is distributed uniformly across a signal …
users for utterances structured such that information is distributed uniformly across a signal …
Artificial neural network language models align neurally and behaviorally with humans even after a developmentally realistic amount of training
Artificial neural networks have emerged as computationally plausible models of human
language processing. A major criticism of these models is that the amount of training data …
language processing. A major criticism of these models is that the amount of training data …
Functionally distinct language and Theory of Mind networks are synchronized at rest and during language comprehension
Communication requires the abilities to generate and interpret utterances and to infer the
beliefs, desires, and goals of others (“Theory of Mind”; ToM). These two abilities have been …
beliefs, desires, and goals of others (“Theory of Mind”; ToM). These two abilities have been …
Incremental language comprehension difficulty predicts activity in the language network but not the multiple demand network
What role do domain-general executive functions play in human language comprehension?
To address this question, we examine the relationship between behavioral measures of …
To address this question, we examine the relationship between behavioral measures of …