K. Katahira

Cognitive Neuroscience · 2015

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom K. Katahira trusts overall

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

  1. Yael Niv
  2. Nathaniel D. Daw
  3. Peter S. Dayan
  4. Richard S. Sutton
  5. Christopher J. C. H. Watkins
  6. Andrew Barto
  7. Wolfram Schultz

Papers from K. Katahira's perspective

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

  1. Reinforcement learning in the brain
  2. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  3. Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control
  4. Reinforcement learning
  5. Reinforcement Learning: An Introduction
  6. Predictive Reward Signal of Dopamine Neurons
  7. Information Theory, Inference, and Learning Algorithms
  8. Actions and habits: the development of behavioural autonomy
  9. Anticipation of Increasing Monetary Reward Selectively Recruits Nucleus Accumbens (Journal of Neuroscience)
  10. An integrative theory of prefrontal cortex function.

Their papers