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Thinking ahead: spontaneous prediction in context as a keystone of language in humans and machines
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Outgoing claims: the papers this work cites, builds on, or argues with.
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fMRI reveals language-specific predictive coding during naturalistic sentence comprehension
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Early vocabulary growth: Relation to language input and gender.
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Brain potentials during reading reflect word expectancy and semantic association
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Natural speech reveals the semantic maps that tile human cerebral cortex
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Toward a universal decoder of linguistic meaning from brain activation
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If deep learning is the answer, what is the question?
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Biological constraints on neural network models of cognitive function
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Performance-optimized hierarchical models predict neural responses in higher visual cortex
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The syntactic positive shift (sps) as an erp measure of syntactic processing
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What do we mean by prediction in language comprehension?
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Comprehending surprising sentences: sensitivity of post-N400 positivities to contextual congruity and semantic relatedness
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Prediction During Natural Language Comprehension
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Receiver Operating Characteristic Curve in Diagnostic Test Assessment
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The neural architecture of language: Integrative modeling converges on predictive processing
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Language processing in brains and deep neural networks: computational convergence and its limits
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A hierarchy of linguistic predictions during natural language comprehension
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GPT-2’s activations predict the degree of semantic comprehension in the human brain
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Incorporating Context into Language Encoding Models for fMRI
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Speaker identification on the SCOTUS corpus
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Syntactic Structure from Deep Learning
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Cortical Tracking of Surprisal during Continuous Speech Comprehension
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Alternatives to the combinatorial paradigm of linguistic theory based on domain general principles of human cognition
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Understanding language-elicited EEG data by predicting it from a fine-tuned language model
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Modeling the N400 brain potential as Semantic Bayesian Surprise
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Investigation of Information Processing Mechanisms in the Human Brain During Reading Tanka Poetry
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The channel capacity of multilevel linguistic features constrains speech comprehension
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Negative correlation between word-level surprisal and intersubject neural synchronization during narrative listening
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Context-based facilitation of semantic access follows both logarithmic and linear functions of stimulus probability
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Over-reliance on English hinders cognitive science
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Social Learning in Neural Agent-Based Models
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Moment-by-moment tracking of naturalistic learning and its underlying hippocampo-cortical interactions
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Deep language algorithms predict semantic comprehension from brain activity
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Brains and algorithms partially converge in natural language processing
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Automatically Calculated Context-Sensitive Features of Connected Speech Improve Prediction of Impairment in Alzheimer's Disease
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The neural architecture of language: Integrative modeling converges on predictive processing
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Multivariate analysis of brain activity patterns as a tool to understand predictive processes in speech perception
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The neural architecture of language: Integrative modeling converges on predictive processing
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Language processing in brains and deep neural networks: computational convergence and its limits
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A hierarchy of linguistic predictions during natural language comprehension
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Modelling brain representations of abstract concepts
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Finding structure during incremental speech comprehension
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Fine-tuning of deep language models as a computational framework of modeling listeners’ perspective during language comprehension
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Brain embeddings with shared geometry to artificial contextual embeddings, as a code for representing language in the human brain
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Psycholinguistic Diagnosis of Language Models’ Commonsense Reasoning
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Context-Based Facilitation of Semantic Access Follows Both Logarithmic and Linear Functions of Stimulus Probability
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Neural, acoustic and information dynamics (mutually) constrain speech perception
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