Jonathan P. Roiser

Cognitive Neuroscience · 2010–2013

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan P. Roiser trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Karl J. Friston
  2. Klaas E. Stephan
  3. P. Lachenbruch
  4. Peter S. Dayan
  5. John P. O'Doherty
  6. Wolfram Schultz
  7. Hannah R. Snyder

Papers from Jonathan P. Roiser's perspective

Ordered by how strongly the researchers Jonathan P. Roiser trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Reinforcement Learning: An Introduction
  2. Information Theory, Inference, and Learning Algorithms
  3. Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control
  4. A theory of cortical responses
  5. Bayesian Model Selection for Group Studies (NeuroImage)
  6. Temporal difference models describe higher-order learning in humans (Nature)
  7. Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia
  8. Object perception as Bayesian inference.
  9. Temporal difference models and reward-related learning in the human brain. (Neuron)
  10. Neural repetition suppression reflects fulfilled perceptual expectations

Their papers