The structure of reinforcement-learning mechanisms in the human brain

By John P. O'Doherty, Sang Wan Lee, Daniel C. McNamee. 2015

97 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/8f129b1847b3fa5d0e2c9ddf2d7e18ace7725da7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Matthew Botvinick
2. Ari Weinstein
3. Alec Solway
4. Andrew Barto
5. J. Cohen
6. Sergey Levine
7. Yael Niv
8. Samuel J. Gershman

In Experimental and Cognitive Psychology

1. Ari Weinstein
2. Matthew Botvinick
3. Andrew Barto
4. Alec Solway

Citations in the corpus

• Reinforcement learning, efficient coding, and the statistics of natural tasks (2015, background): “Since the first empirical links between RL and biology were forged [1,2], scientific applications of RL theory have become steadily more detailed and sophisticated, distinguishing a variety of specific learning procedures and shedding increasing light on relevant neural substrates [3].”