Francesco Mannella

Cognitive Neuroscience · 2010–2015

A researcher in the Science corpus: 5 papers; trusts 46 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Francesco Mannella trusts overall

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

  1. Herbert Jaeger
  2. Richard S. Sutton
  3. Suzanne N. Haber
  4. Erkki Oja
  5. Kevin N. Gurney
  6. Andrew Barto
  7. Wolfram Schultz
  8. Earl K. Miller
  9. Peter S. Dayan
  10. Peter Redgrave

Who trusts Francesco Mannella overall

  1. Gianluca Baldassarre
  2. Brenden M. Lake
  3. S. Floresco

Papers from Francesco Mannella's perspective

Ordered by how strongly the researchers Francesco Mannella 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. Long Short-Term Memory
  4. Gradient-based learning applied to document recognition
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. An integrative theory of prefrontal cortex function.
  8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  9. Learning internal representations by error propagation
  10. A Neural Substrate of Prediction and Reward

Their papers