Catherine Wacongne

Cognitive Neuroscience · 2012

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Catherine Wacongne trusts overall

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

  1. Karl J. Friston
  2. Eugene M. Izhikevich
  3. Michael W. Spratling
  4. Nicolas J.-B. Brunel
  5. Razvan Pascanu
  6. Stefan J. Kiebel
  7. Wolfgang Maass
  8. Herbert Jaeger
  9. Richard S. Sutton
  10. István Winkler

Who trusts Catherine Wacongne overall

  1. Jorie Koster-Hale
  2. Rebecca Saxe
  3. Ana Todorovic
  4. David J. Heeger
  5. F. D. de Lange
  6. Peter Kok

Papers from Catherine Wacongne's perspective

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

  1. Reinforcement Learning: An Introduction
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. A theory of cortical responses
  5. A Neural Substrate of Prediction and Reward
  6. Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects.
  7. Hierarchical Bayesian inference in the visual cortex. (Journal of The Optical Society of America A-optics Image Science and Vision)
  8. Long Short-Term Memory
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers