Dobromir Rahnev

Associate Professor

Georgia Institute of Technology

United States

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Dr. Dobromir Rahnev is an Associate Professor at the Georgia Institute of Technology in the United States. His research focuses on metacognition, decision-making, and the integration of multisensory information, as demonstrated in his recent publications. He has explored topics such as the relationship between confidence and performance, brain activation patterns, and the implications for theories of consciousness.

Articles (20)

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2025

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2020

Collaborators (13)

Andrey Chetverikov

Associate Professor in Cognitive Psychology

University of Bergen

NORWAY

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Heleen Slagter

University of Amsterdam

NETHERLANDS

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Renzo Lanfranco

Karolinska Institutet

SWEDEN

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Robert Mok

Lecturer (Assistant Professor)

Royal Holloway, University of London

UNITED KINGDOM

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Gabriel Weindel

Utrecht University

NETHERLANDS

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Timothy Brady

Associate Professor

University of California, San Diego

UNITED STATES

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Sai Sun

Assistant Professor

Tohoku University

JAPAN

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Samuel Recht

University of Oxford

UNITED KINGDOM

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Jeroen J.A. van Boxtel

University of Canberra

AUSTRALIA

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Marcin Koculak

Jagiellonian University

POLAND

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Alan Lee

University in Western Australia

AUSTRALIA

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Joel Snyder

Professor

University of Nevada

UNITED STATES

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Maxine Sherman

University of Sussex

UNITED KINGDOM

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Dobromir Rahnev

Research Interests

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Articles (20)

Publisher Correction: Automatic multisensory integration follows subjective confidence rather than objective performance

Switching the motor response weakens confidence serial dependence.

What makes a theory of consciousness unscientific?

Automatic multisensory integration follows subjective confidence rather than objective performance

Multiple brain activation patterns for the same perceptual decision-making task

A comprehensive assessment of current methods for measuring metacognition

The neural network RTNet exhibits the signatures of human perceptual decision-making

Threat Expectation Does Not Improve Perceptual Discrimination despite Causing Heightened Priority Processing in the Frontoparietal Network

Challenging the Bayesian confidence hypothesis in perceptual decision-making

Behavior can be decoded across the cortex when individual differences are considered.

Human-like dissociations between confidence and accuracy in convolutional neural networks.

No gender difference in confidence or metacognitive ability in perceptual decision-making.

Common computations for metacognition and meta-metacognition

TMS Does Not Increase BOLD Activity at the Site of Stimulation: A Review of All Concurrent TMS-fMRI Studies

Visual metacognition: Measures, models, and neural correlates.

A robust confidence–accuracy dissociation via criterion attraction

Awake suppression after brief exposure to a familiar stimulus

The Confidence Database

The suboptimality of perceptual decision making with multiple alternatives

Resource-rational analysis versus resource-rational humans

Collaborators (13)

Andrey Chetverikov

Heleen Slagter

Renzo Lanfranco

Robert Mok

Gabriel Weindel

Timothy Brady

Sai Sun

Samuel Recht

Jeroen J.A. van Boxtel

Marcin Koculak

Alan Lee

Joel Snyder

Maxine Sherman

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