Evidence of a predictive coding hierarchy in the human brain listening to speech
Considerable progress has recently been made in natural language processing: deep
learning algorithms are increasingly able to generate, summarize, translate and classify …
learning algorithms are increasingly able to generate, summarize, translate and classify …
A hierarchy of linguistic predictions during natural language comprehension
Understanding spoken language requires transforming ambiguous acoustic streams into a
hierarchy of representations, from phonemes to meaning. It has been suggested that the …
hierarchy of representations, from phonemes to meaning. It has been suggested that the …
Driving and suppressing the human language network using large language models
Transformer models such as GPT generate human-like language and are predictive of
human brain responses to language. Here, using functional-MRI-measured brain responses …
human brain responses to language. Here, using functional-MRI-measured brain responses …
Lexical-semantic content, not syntactic structure, is the main contributor to ANN-brain similarity of fMRI responses in the language network
Abstract Representations from artificial neural network (ANN) language models have been
shown to predict human brain activity in the language network. To understand what aspects …
shown to predict human brain activity in the language network. To understand what aspects …
Introducing MEG-MASC a high-quality magneto-encephalography dataset for evaluating natural speech processing
The “MEG-MASC” dataset provides a curated set of raw magnetoencephalography (MEG)
recordings of 27 English speakers who listened to two hours of naturalistic stories. Each …
recordings of 27 English speakers who listened to two hours of naturalistic stories. Each …
Word contexts enhance the neural representation of individual letters in early visual cortex
Visual context facilitates perception, but how this is neurally implemented remains unclear.
One example of contextual facilitation is found in reading, where letters are more easily …
One example of contextual facilitation is found in reading, where letters are more easily …
[图书][B] Communicative efficiency
N Levshina - 2022 - books.google.com
All living beings try to save effort, and humans are no exception. This groundbreaking book
shows how we save time and energy during communication by unconsciously making …
shows how we save time and energy during communication by unconsciously making …
Long-range and hierarchical language predictions in brains and algorithms
Deep learning has recently made remarkable progress in natural language processing. Yet,
the resulting algorithms remain far from competing with the language abilities of the human …
the resulting algorithms remain far from competing with the language abilities of the human …
Lexical surprisal shapes the time course of syntactic structure building
When we understand language, we recognize words and combine them into sentences. In
this article, we explore the hypothesis that listeners use probabilistic information about …
this article, we explore the hypothesis that listeners use probabilistic information about …
Large GPT-like Models are Bad Babies: A Closer Look at the Relationship between Linguistic Competence and Psycholinguistic Measures
Research on the cognitive plausibility of language models (LMs) has so far mostly
concentrated on modelling psycholinguistic response variables such as reading times, gaze …
concentrated on modelling psycholinguistic response variables such as reading times, gaze …