Michael J Frank
Cognitive Neuroscience · with Frank · 2006–2007
A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 43 citations into it; #1,579 of 10,852 by trust here, #1,712 by citations
- Cellular and Molecular Neuroscience — 19 citations into it
- Neurology — 11 citations into it
- Reinforcement Learning — 8 citations into it
- Molecular Biology — 7 citations into it
- Neuroscience — 7 citations into it; #155 of 487 by trust here, #154 by citations
- Cognitive Science & Psychology — 6 citations into it; #180 of 582 by trust here, #165 by citations
- Model Architectures — 5 citations into it
Whom Michael J Frank trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael J Frank
- Richard S. Sutton
- Randall C. O’Reilly
- J. Cohen
- J. Urgen Schmidhuber
- Andrew Barto
- Todd S. Braver
- Sepp Hochreiter
- Daniel Durstewitz
- Wolfram Schultz
Who trusts Michael J Frank overall
- Matthew Botvinick
- Michael J Frank
- Peter S. Dayan
- Shimon Edelman
- David Badre
- Thomas V. Wiecki
- Chrisantha Fernando
- Tiago V. Maia
- David D. Cox
- L. Koziol
Papers from Michael J Frank's perspective
Ordered by how strongly the researchers Michael J Frank trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Reinforcement Learning: An Introduction
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning to predict by the methods of temporal differences
- A Neural Substrate of Prediction and Reward
- Attention is All you Need (Neural Information Processing Systems)
- Learning internal representations by error propagation