Peter Redgrave

Cognitive Neuroscience · 2001–2014

A researcher in the Science corpus: 7 papers; trusts 21 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Redgrave trusts overall

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

  1. Wolfram Schultz
  2. Richard S. Sutton
  3. Kevin N. Gurney
  4. Andrew Barto
  5. Peter S. Dayan
  6. John N. J. Reynolds
  7. Suzanne N. Haber
  8. R. Wise
  9. Okihide Hikosaka
  10. John Salamone

Who trusts Peter Redgrave overall

  1. Gianluca Baldassarre
  2. Luiz Pessoa
  3. Karl J. Friston
  4. Marco Mirolli
  5. Michael J Frank
  6. Andrea Soltoggio
  7. Francesco Mannella
  8. Henning Schroll
  9. Raphael Cohn
  10. Shimon Edelman

Papers from Peter Redgrave's perspective

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

  1. Reinforcement Learning: An Introduction
  2. A Neural Substrate of Prediction and Reward
  3. Dopamine responses comply with basic assumptions of formal learning theory (Nature)
  4. The debate over dopamine’s role in reward: the case for incentive salience
  5. Discrete Coding of Reward Probability and Uncertainty by Dopamine Neurons
  6. Predictive Reward Signal of Dopamine Neurons
  7. Adaptive Coding of Reward Value by Dopamine Neurons
  8. ImageNet classification with deep convolutional neural networks
  9. Gradient-based learning applied to document recognition
  10. Dopamine Operates as a Subsecond Modulator of Food Seeking (Journal of Neuroscience)

Their papers