Standout Papers

A Neural Substrate of Prediction and Reward 1992 2026 2003 2014 6.0k
  1. A Neural Substrate of Prediction and Reward (1997)
    Wolfram Schultz, Peter Dayan et al. Science
  2. Q-learning (1992)
    Christopher J. Watkins, Peter Dayan Machine Learning
  3. Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems (2001)
    Peter Dayan, L. F. Abbott MPG.PuRe (Max Planck Society)
  4. Technical Note: Q-Learning (1992)
    Christopher J. Watkins, Peter Dayan Machine Learning
  5. Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control (2005)
    Nathaniel D. Daw, Yael Niv et al. Nature Neuroscience
  6. Dissociable Roles of Ventral and Dorsal Striatum in Instrumental Conditioning (2004)
    John P. O’Doherty, Peter Dayan et al. Science
  7. Cortical substrates for exploratory decisions in humans (2006)
    Nathaniel D. Daw, John P. O’Doherty et al. Nature
  8. A framework for mesencephalic dopamine systems based on predictive Hebbian learning (1996)
    P. Read Montague, Peter Dayan et al. Journal of Neuroscience
  9. Uncertainty, Neuromodulation, and Attention (2005)
    Angela J. Yu, Peter Dayan Neuron
  10. Temporal Difference Models and Reward-Related Learning in the Human Brain (2003)
    John P. O’Doherty, Peter Dayan et al. Neuron
  11. Model-Based Influences on Humans' Choices and Striatal Prediction Errors (2011)
    Nathaniel D. Daw, Samuel J. Gershman et al. Neuron
  12. Tonic dopamine: opportunity costs and the control of response vigor (2006)
    Yael Niv, Nathaniel D. Daw et al. Psychopharmacology
  13. States versus Rewards: Dissociable Neural Prediction Error Signals Underlying Model-Based and Model-Free Reinforcement Learning (2010)
    Jan Gläscher, Nathaniel D. Daw et al. Neuron
  14. The Helmholtz Machine (1995)
    Peter Dayan, Geoffrey E. Hinton et al. Neural Computation
  15. Goals and Habits in the Brain (2013)
    Raymond J. Dolan, Peter Dayan Neuron
  16. The Effect of Correlated Variability on the Accuracy of a Population Code (1999)
    L. F. Abbott, Peter Dayan Neural Computation
  17. Opponent interactions between serotonin and dopamine (2002)
    Nathaniel D. Daw, Sham M. Kakade et al. Neural Networks
  18. Computational psychiatry (2011)
    P. Read Montague, Raymond J. Dolan et al. Trends in Cognitive Sciences
  19. Reward, Motivation, and Reinforcement Learning (2002)
    Peter Dayan, Bernard W. Balleine Neuron
  20. The "Wake-Sleep" Algorithm for Unsupervised Neural Networks (1995)
    Geoffrey E. Hinton, Peter Dayan et al. Science
  21. Disorders of compulsivity: a common bias towards learning habits (2014)
    Valerie Voon, Katherine Derbyshire et al. Molecular Psychiatry

Immediate Impact

16 by Nobel laureates 107 from Science/Nature 201 standout
Sub-graph 1 of 15

Citing Papers

A distributional code for value in dopamine-based reinforcement learning
2020 StandoutNatureNobel
Dissociable dopamine dynamics for learning and motivation
2019 StandoutNature
105 intermediate papers

Works of Peter Dayan being referenced

How fast to work: Response vigor, motivation and tonic dopamine
2005
A Neural Substrate of Prediction and Reward
1997 StandoutScience
and 47 more

Author Peers

Author Last Decade Papers Cites
Peter Dayan 31101 11948 6549 6791 424 50.1k
Edmund T. Rolls 41832 15136 1835 9073 561 61.7k
Christof Koch 40776 15072 3091 4085 526 58.9k
James L. McClelland 27347 2990 11501 8870 235 47.6k
Timothy E.J. Behrens 42395 5746 1427 5587 189 68.4k
Terrence J. Sejnowski 39971 17695 7661 4129 573 64.8k
Earl K. Miller 29346 6435 1136 3670 166 34.5k
Jonathan D. Cohen 61711 6889 1550 14225 295 79.2k
Emanuel Donchin 35756 3948 1227 7362 205 40.6k
Russell A. Poldrack 36058 3661 1371 7861 305 47.4k
Nathaniel D. Daw 15041 4813 1438 3692 164 20.5k

All Works

Loading papers...

Rankless by CCL
2026