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

Neuron (Cambridge, Mass.), 2020-02, Vol.105 (3), p.416-434

2020

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Keep it real: rethinking the primacy of experimental control in cognitive neuroscience

NeuroImage (Orlando, Fla.), 2020-11, Vol.222, p.117254-117254, Article 117254

2020

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Measuring shared responses across subjects using intersubject correlation

Social cognitive and affective neuroscience, 2019-06, Vol.14 (6), p.667-685

2019

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Naturalistic stimuli reveal a dominant role for agentic action in visual representation

NeuroImage (Orlando, Fla.), 2020-08, Vol.216, p.116561-116561, Article 116561

2020

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Hyperalignment: Modeling shared information encoded in idiosyncratic cortical topographies

eLife, 2020-06, Vol.9, Article e56601

2020

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Leveraging shared connectivity to aggregate heterogeneous datasets into a common response space

NeuroImage (Orlando, Fla.), 2020-08, Vol.217, p.116865-116865, Article 116865

2020

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The single- and dual-brain mechanisms underlying the adviser's confidence expression strategy switching during influence management

NeuroImage (Orlando, Fla.), 2023-04, Vol.270, p.119957-119957, Article 119957

2023

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Shared functional specialization in transformer-based language models and the human brain

Nature communications, 2024-06, Vol.15 (1), p.5523-19, Article 5523

2024

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Attention Selectively Reshapes the Geometry of Distributed Semantic Representation

Cerebral cortex (New York, N.Y. 1991), 2017-08, Vol.27 (8), p.4277-4291

2017

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Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns

Nature communications, 2024-03, Vol.15 (1), p.2768-2768, Article 2768

2024

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The "Narratives" fMRI dataset for evaluating models of naturalistic language comprehension

Scientific data, 2021-09, Vol.8 (1), p.250-250, Article 250

2021

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Brain kernel: A new spatial covariance function for fMRI data

NeuroImage (Orlando, Fla.), 2021-12, Vol.245, p.118580-118580, Article 118580

2021

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Hybrid hyperalignment: A single high-dimensional model of shared information embedded in cortical patterns of response and functional connectivity

NeuroImage (Orlando, Fla.), 2021-06, Vol.233, p.117975-117975, Article 117975

2021

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Cross-movie prediction of individualized functional topography

eLife, 2023-11, Vol.12

2023

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Modeling Semantic Encoding in a Common Neural Representational Space

Frontiers in neuroscience, 2018-07, Vol.12, p.437-437

2018

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Narratives for Neuroscience

Trends in neurosciences (Regular ed.), 2020-05, Vol.43 (5), p.271-273

2020

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Real-time neurofeedback to alter interpretations of a naturalistic narrative

Neuroimage. Reports, 2022-09, Vol.2 (3), p.100111, Article 100111

2022

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Neural Responses to Naturalistic Clips of Behaving Animals in Two Different Task Contexts

Frontiers in neuroscience, 2018-05, Vol.12, p.316-316

2018

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Information flow across the cortical timescale hierarchy during narrative construction

Proceedings of the National Academy of Sciences - PNAS, 2022-12, Vol.119 (51), p.e2209307119-e2209307119

2022

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Onscreen presence of instructors in video lectures affects learners' neural synchrony and visual attention during multimedia learning

Proceedings of the National Academy of Sciences - PNAS, 2024-03, Vol.121 (12), p.e2309054121

2024

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Shared computational principles for language processing in humans and deep language models

Nature neuroscience, 2022-03, Vol.25 (3), p.369

2022

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Teacher–student neural coupling during teaching and learning

Social cognitive and affective neuroscience, 2022-04, Vol.17 (4), p.367-376

2022

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Reliable individual differences in fine-grained cortical functional architecture

NeuroImage (Orlando, Fla.), 2018-12, Vol.183, p.375-386

2018

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Modeling naturalistic face processing in humans with deep convolutional neural networks

Proceedings of the National Academy of Sciences - PNAS, 2023-10, Vol.120 (43), p.e2304085120-e2304085120

2023

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A shared model-based linguistic space for transmitting our thoughts from brain to brain in natural conversations

Neuron (Cambridge, Mass.), 2024-08

2024

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

Keep it real: rethinking the primacy of experimental control in cognitive neuroscience

Measuring shared responses across subjects using intersubject correlation

Naturalistic stimuli reveal a dominant role for agentic action in visual representation

Hyperalignment: Modeling shared information encoded in idiosyncratic cortical topographies

Leveraging shared connectivity to aggregate heterogeneous datasets into a common response space

The single- and dual-brain mechanisms underlying the adviser's confidence expression strategy switching during influence management

Shared functional specialization in transformer-based language models and the human brain

Attention Selectively Reshapes the Geometry of Distributed Semantic Representation

Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns

The "Narratives" fMRI dataset for evaluating models of naturalistic language comprehension

Brain kernel: A new spatial covariance function for fMRI data

Hybrid hyperalignment: A single high-dimensional model of shared information embedded in cortical patterns of response and functional connectivity

Cross-movie prediction of individualized functional topography

Modeling Semantic Encoding in a Common Neural Representational Space

Narratives for Neuroscience

Real-time neurofeedback to alter interpretations of a naturalistic narrative

Neural Responses to Naturalistic Clips of Behaving Animals in Two Different Task Contexts

Information flow across the cortical timescale hierarchy during narrative construction

Onscreen presence of instructors in video lectures affects learners' neural synchrony and visual attention during multimedia learning

Shared computational principles for language processing in humans and deep language models

Teacher–student neural coupling during teaching and learning

Reliable individual differences in fine-grained cortical functional architecture

Modeling naturalistic face processing in humans with deep convolutional neural networks

A shared model-based linguistic space for transmitting our thoughts from brain to brain in natural conversations

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