A. G. Collins
Cognitive Neuroscience · 4 papers · 2012–2020
A researcher in the Science corpus: 4 papers; trusts 36 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 76 citations into it; #2,392 of 10,852 by trust here, #4,095 by citations
- Artificial Intelligence — 24 citations into it
- Cellular and Molecular Neuroscience — 20 citations into it; #2,590 of 2,998 by trust here, #2,483 by citations
- Statistics and Probability — 11 citations into it
- Molecular Biology — 9 citations into it
- Experimental and Cognitive Psychology — 8 citations into it
- Neurology — 8 citations into it
- Developmental and Educational Psychology — 6 citations into it
Whom A. G. Collins trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael J Frank
- Kenji Doya
- David Badre
- Nathaniel D. Daw
- Suzanne N. Haber
- Nelson Cowan
- Peter S. Dayan
- Richard S. Sutton
- Andrew Barto
- Etienne Koechlin
Who trusts A. G. Collins overall
- Matthew Botvinick
- Philippe Domenech
- A. Ross Otto
- J. Cohen
- Karl J. Friston
- Etienne Koechlin
- John P. O'Doherty
- A. Efklides
- Ghassen Jerfel
- Justin Riddle
Papers from A. G. Collins's perspective
Ordered by how strongly the researchers A. G. Collins trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- A Neural Substrate of Prediction and Reward
- Gradient-based learning applied to document recognition
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- The Role of Executive Function in Shaping Reinforcement Learning. (2020) — 57 citations
- Ten simple rules for the computational modeling of behavioral data (2019) — 564 citations
- Cognitive control over learning: creating, clustering, and generalizing task-set structure. (2013) — 389 citations
- How much of reinforcement learning is working memory, not reinforcement learning? A behavioral, computational, and neurogenetic analysis (2012) — 401 citations