The neural architecture of language: Integrative modeling converges on predictive processing

Incremental Language Comprehension Difficulty Predicts Activity in the Language Network but Not the Multiple Demand Network

(2021) Leila Wehbe et al.   CEREBRAL CORTEX

Direct Fit to Nature: An Evolutionary Perspective on Biological and Artificial Neural Networks

(2020) Uri Hasson et al.   NEURON

What Limits Our Capacity to Process Nested Long-Range Dependencies in Sentence Comprehension?

(2020) Yair Lakretz et al.   Entropy

A map of object space in primate inferotemporal cortex

(2020) Pinglei Bao et al.   NATURE

Integrative Benchmarking to Advance Neurally Mechanistic Models of Human Intelligence

(2020) Martin Schrimpf et al.   NEURON

Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences

(2019) Carlos R. Ponce et al.   CELL

Neural population control via deep image synthesis

(2019) Pouya Bashivan et al.   SCIENCE

Deep convolutional models improve predictions of macaque V1 responses to natural images

(2019) Santiago A. Cadena et al.   PLoS Computational Biology

The Representation of Semantic Information Across Human Cerebral Cortex During Listening Versus Reading Is Invariant to Stimulus Modality

(2019) Fatma Deniz et al.   JOURNAL OF NEUROSCIENCE

Neural dynamics of semantic composition

(2019) Bingjiang Lyu et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Recurrence is required to capture the representational dynamics of the human visual system

(2019) Tim C. Kietzmann et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The neurobiology of language beyond single-word processing

(2019) Peter Hagoort   SCIENCE

Fine-grained neural decoding with distributed word representations

(2019) Shaonan Wang et al.   INFORMATION SCIENCES

fMRI reveals language-specific predictive coding during naturalistic sentence comprehension

(2019) Cory Shain et al.   NEUROPSYCHOLOGIA

Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks

(2018) Rishi Rajalingham et al.   JOURNAL OF NEUROSCIENCE

Promises and limitations of human intracranial electroencephalography

(2018) Josef Parvizi et al.   NATURE NEUROSCIENCE

A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy

(2018) Alexander J.E. Kell et al.   NEURON

Toward a universal decoder of linguistic meaning from brain activation

(2018) Francisco Pereira et al.   Nature Communications

Sensory cortex is optimised for prediction of future input

(2018) Yosef Singer et al.   eLife

Predictive Processing: A Canonical Cortical Computation

(2018) Georg B. Keller et al.   NEURON

Neurophysiological dynamics of phrase-structure building during sentence processing

(2017) Matthew J. Nelson et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Using stochastic language models (SLM) to map lexical, syntactic, and phonological information processing in the brain

(2017) Alessandro Lopopolo et al.   PLoS One

Abstract linguistic structure correlates with temporal activity during naturalistic comprehension

(2016) Jonathan R. Brennan et al.   BRAIN AND LANGUAGE

Natural speech reveals the semantic maps that tile human cerebral cortex

(2016) Alexander G. Huth et al.   NATURE

Language structure in the brain: A fixation-related fMRI study of syntactic surprisal in reading

(2016) John M. Henderson et al.   NEUROIMAGE

Neural correlate of the construction of sentence meaning

(2016) Evelina Fedorenko et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence

(2016) Radoslaw Martin Cichy et al.   Scientific Reports

The ERP response to the amount of information conveyed by words in sentences

(2015) Stefan L. Frank et al.   BRAIN AND LANGUAGE

Prediction During Natural Language Comprehension

(2015) Roel M. Willems et al.   CEREBRAL CORTEX

Simple Learned Weighted Sums of Inferior Temporal Neuronal Firing Rates Accurately Predict Human Core Object Recognition Performance

(2015) N. J. Majaj et al.   JOURNAL OF NEUROSCIENCE

Cortical tracking of hierarchical linguistic structures in connected speech

(2015) Nai Ding et al.   NATURE NEUROSCIENCE

What do we mean by prediction in language comprehension?

(2015) Gina R. Kuperberg et al.   Language Cognition and Neuroscience

A functional dissociation between language and multiple-demand systems revealed in patterns of BOLD signal fluctuations

(2014) Idan Blank et al.   JOURNAL OF NEUROPHYSIOLOGY

Performance-optimized hierarchical models predict neural responses in higher visual cortex

(2014) D. L. K. Yamins et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Reworking the language network

(2014) Evelina Fedorenko et al.   TRENDS IN COGNITIVE SCIENCES

Whatever next? Predictive brains, situated agents, and the future of cognitive science

(2013)   BEHAVIORAL AND BRAIN SCIENCES

Selective and Invariant Neural Responses to Spoken and Written Narratives

(2013) M. Regev et al.   JOURNAL OF NEUROSCIENCE

Rational integration of noisy evidence and prior semantic expectations in sentence interpretation

(2013) E. Gibson et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Canonical Microcircuits for Predictive Coding

(2012) Andre M. Bastos et al.   NEURON

The cortical language circuit: from auditory perception to sentence comprehension

(2012) Angela D. Friederici   TRENDS IN COGNITIVE SCIENCES

Human Intracranial Recordings and Cognitive Neuroscience

(2011) Roy Mukamel et al.   Annual Review of Psychology

Cortical representation of the constituent structure of sentences

(2011) C. Pallier et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Functional specificity for high-level linguistic processing in the human brain

(2011) E. Fedorenko et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

How to Grow a Mind: Statistics, Structure, and Abstraction

(2011) J. B. Tenenbaum et al.   SCIENCE

The anatomy of language: a review of 100 fMRI studies published in 2009

(2010) Cathy J. Price   Annals of the New York Academy of Sciences

New Method for fMRI Investigations of Language: Defining ROIs Functionally in Individual Subjects

(2010) Evelina Fedorenko et al.   JOURNAL OF NEUROPHYSIOLOGY

Predicting Human Brain Activity Associated with the Meanings of Nouns

(2008) T. M. Mitchell et al.   SCIENCE