2026 Peter Dayan: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	104	294	284	15	15	441	88048

Research.com Recognitions

2025 - Research.com Computer Science in Germany Leader Award
2022 - Research.com Computer Science in Germany Leader Award

Overview

Peter Dayan is affiliated with the Max Planck Institute for Biological Cybernetics in Germany. Their research primarily focuses on the field of Neuroscience, with significant contributions in Cognitive Neuroscience, Experimental and Cognitive Psychology, Artificial Intelligence, Social Psychology, and General Decision Sciences.

The main topics covered in their work include:

Neural and Behavioral Psychology Studies
Neural dynamics and brain function
Memory and Neural Mechanisms
Mental Health Research Topics
Decision-Making and Behavioral Economics
Functional Brain Connectivity Studies
Behavioral Health and Interventions

Peter Dayan has frequently published in several venues, with the most common being:

bioRxiv (Cold Spring Harbor Laboratory)
arXiv (Cornell University)
PLoS Computational Biology
Trends in Cognitive Sciences
eLife

They have authored or coauthored papers with notable researchers including:

Chris Gagne
Raymond J. Dolan
Eric Schulz
Jonathan P. Roiser
Guido T. Meijer

Some recent publications include:

Space, Time, and Fear: Survival Computations along Defensive Circuits, 2020, Trends in Cognitive Sciences
The Anterior Cingulate Cortex Predicts Future States to Mediate Model-Based Action Selection, 2020, Neuron
Impaired adaptation of learning to contingency volatility in internalizing psychopathology, 2020, eLife
Freezing revisited: coordinated autonomic and central optimization of threat coping, 2022, Nature Reviews Neuroscience
The value of what's to come: Neural mechanisms coupling prediction error and the utility of anticipation, 2020, Science Advances

In addition to journal articles, Dayan has contributed to book publications, including "For the Love of Art" (2022) published by the Modern Humanities Research Association.

Best Publications

A Neural Substrate of Prediction and Reward

Schultz W;Dayan P;Montague Pr

11654
Citations
Technical Note : \cal Q -Learning

Christopher J. C. H. Watkins;Peter Dayan

9243
Citations
Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems

Peter Dayan;L. F. Abbott

6717
Citations
Technical Note Q-Learning

Christopher J.C.H. Watkins;Peter Dayan

5438
Citations
Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control

Nathaniel D Daw;Yael Niv;Yael Niv;Peter Dayan

3042
Citations
A framework for mesencephalic dopamine systems based on predictive Hebbian learning

PR Montague;P Dayan;TJ Sejnowski

2570
Citations
Dissociable roles of ventral and dorsal striatum in instrumental conditioning

John O'Doherty;Peter Dayan;Johannes Schultz;Ralf Deichmann

2519
Citations
Uncertainty, neuromodulation, and attention.

Angela J. Yu;Peter Dayan

2172
Citations
Model-based influences on humans' choices and striatal prediction errors.

Nathaniel D. Daw;Samuel J. Gershman;Ben Seymour;Peter Dayan

2100
Citations
The helmholtz machine

Peter Dayan;Geoffrey E. Hinton;Radford M. Neal;Richard S. Zemel

1763
Citations
The "Wake-Sleep" Algorithm for Unsupervised Neural Networks

Geoffrey E. Hinton;Peter Dayan;Brendan J. Frey;Radford M. Neal

1541
Citations
States versus Rewards: Dissociable Neural Prediction Error Signals Underlying Model-Based and Model-Free Reinforcement Learning

Jan Gläscher;Nathaniel Douglass Daw;Peter Dayan;John P. O'Doherty;John P. O'Doherty

1438
Citations
Tonic dopamine: opportunity costs and the control of response vigor.

Yael Niv;Yael Niv;Nathaniel D. Daw;Daphna Joel;Peter Dayan

1314
Citations
Reward, Motivation, and Reinforcement Learning

Peter Dayan;Bernard W. Balleine

1086
Citations
The effect of correlated variability on the accuracy of a population code

L. F. Abbott;Peter Dayan

1044
Citations
Opponent interactions between serotonin and dopamine

Nathaniel D. Daw;Sham Kakade;Peter Dayan

1017
Citations
Information processing with population codes

Alexandre Pouget;Peter Dayan;Richard Zemel

983
Citations
Improving generalization for temporal difference learning: The successor representation

Peter Dayan

912
Citations
Reinforcement learning: The Good, The Bad and The Ugly

Peter Dayan;Yael Niv

830
Citations
Feudal Reinforcement Learning

Peter Dayan;Geoffrey E. Hinton

758
Citations
Adaptation and Unsupervised Learning

Peter Dayan;Maneesh Sahani;Gregoire Deback

7
Citations

Frequent Co-Authors

Raymond J. Dolan University College London

Quentin J. M. Huys University College London

Nathaniel D. Daw Princeton University

Jonathan P. Roiser University College London

Ben Seymour University of Oxford

Emrah Düzel German Center for Neurodegenerative Diseases

P. Read Montague Virginia Tech

Terrence J. Sejnowski Salk Institute for Biological Studies

Marc Guitart-Masip Karolinska Institute

Richard S. Zemel University of Toronto

External Links

Wikipedia of Peter Dayan Personal website of Peter Dayan

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