Quentin J. M. Huys

Cognitive Neuroscience · 2011–2016

A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Quentin J. M. Huys trusts overall

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

  1. David John Cameron MacKay
  2. Michael J Frank
  3. Nathaniel D. Daw
  4. Peter S. Dayan
  5. S. Hyman
  6. Richard S. Sutton
  7. Yael Niv
  8. Shitij Kapur
  9. Benson Mwangi
  10. Andrew Barto

Who trusts Quentin J. M. Huys overall

  1. Woo-Young Ahn
  2. Danilo Bzdok
  3. Tammy Jiang
  4. Nathaniel Haines
  5. Marc Guitart-Masip
  6. Andreas Meyer-Lindenberg
  7. Marcos Economides
  8. Peter S. Dayan
  9. Ida Momennejad
  10. Lei Zhang

Papers from Quentin J. M. Huys's perspective

Ordered by how strongly the researchers Quentin J. M. Huys trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Reinforcement Learning: An Introduction
  2. A Fast Learning Algorithm for Deep Belief Nets
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control
  8. A Neural Substrate of Prediction and Reward
  9. Information Theory, Inference, and Learning Algorithms
  10. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping

Their papers