Author pages are created from data sourced from our academic publisher partnerships and public sources.
- Publications
- Influence
Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
TLDR
- 3,137
- 301
- PDF
Technical Note: Q-Learning
- Christopher J.C.H. Watkins, P. Dayan
- Computer Science
- Machine Learning
- 1 May 1992
TLDR
Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control
A broad range of neural and behavioral data suggests that the brain contains multiple systems for behavioral choice, including one associated with prefrontal cortex and another with dorsolateral… Expand
Dissociable Roles of Ventral and Dorsal Striatum in Instrumental Conditioning
- J. O'Doherty, P. Dayan, Johannes Schultz, R. Deichmann, Karl J. Friston, R. Dolan
- Psychology, Medicine
- Science
- 16 April 2004
Instrumental conditioning studies how animals and humans choose actions appropriate to the affective structure of an environment. According to recent reinforcement learning models, two distinct… Expand
Model-based influences on humans’ choices and striatal prediction errors
- N. Daw, S. Gershman, B. Seymour, P. Dayan, R. Dolan
- Psychology, Medicine
- Neuron
- 15 March 2011
Summary The mesostriatal dopamine system is prominently implicated in model-free reinforcement learning, with fMRI BOLD signals in ventral striatum notably covarying with model-free prediction… Expand
A framework for mesencephalic dopamine systems based on predictive Hebbian learning
- P. R. Montague, P. Dayan, T. Sejnowski
- Psychology, Medicine
- The Journal of neuroscience : the official…
- 1 March 1996
We develop a theoretical framework that shows how mesencephalic dopamine systems could distribute to their targets a signal that represents information about future expectations. In particular, we… Expand
Uncertainty, Neuromodulation, and Attention
Uncertainty in various forms plagues our interactions with the environment. In a Bayesian statistical framework, optimal inference and prediction, based on unreliable observations in changing… Expand
The Effect of Correlated Variability on the Accuracy of a Population Code
- L. F. Abbott, P. Dayan
- Computer Science, Medicine
- Neural Computation
- 1999
TLDR
Tonic dopamine: opportunity costs and the control of response vigor
RationaleDopamine neurotransmission has long been known to exert a powerful influence over the vigor, strength, or rate of responding. However, there exists no clear understanding of the… Expand
The Helmholtz Machine
- P. Dayan, Geoffrey E. Hinton, R. Neal, R. Zemel
- Mathematics, Computer Science
- Neural Computation
- 1 September 1995
TLDR