Keywords
Affiliated Institutions
Related Publications
Human Insula Activation Reflects Risk Prediction Errors As Well As Risk
Understanding how organisms deal with probabilistic stimulus-reward associations has been advanced by a convergence between reinforcement learning models and primate physiology,...
Generalization and Scaling in Reinforcement Learning
In associative reinforcement learning, an environment generates input vectors, a learning system generates possible output vectors, and a reinforcement function computes feedbac...
A framework for mesencephalic dopamine systems based on predictive Hebbian learning
We develop a theoretical framework that shows how mesencephalic dopamine systems could distribute to their targets a signal that represents information about future expectations...
Linear classification of low-resolution EEG patterns produced by imagined hand movements
Electroencephalograph (EEG)-based brain-computer interfaces (BCI's) require on-line detection of mental states from spontaneous EEG signals. In this framework, surface Laplacian...
Reinforcement Learning or Active Inference?
This paper questions the need for reinforcement learning or control theory when optimising behaviour. We show that it is fairly simple to teach an agent complicated and adaptive...
Publication Info
- Year
- 2010
- Type
- article
- Volume
- 66
- Issue
- 4
- Pages
- 585-595
- Citations
- 1208
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1016/j.neuron.2010.04.016