Robert C. Wilson

Cognitive Neuroscience · 2009–2019

A researcher in the Science corpus: 6 papers; trusts 29 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 72 citations into it; #6,316 of 10,852 by trust here, #3,227 by citations
• Cellular and Molecular Neuroscience — 22 citations into it; #2,547 of 2,998 by trust here, #2,325 by citations
• Artificial Intelligence — 20 citations into it
• Neuroscience — 11 citations into it
• Statistics and Probability — 11 citations into it
• Experimental and Cognitive Psychology — 10 citations into it
• Molecular Biology — 9 citations into it
• Reinforcement Learning — 9 citations into it

Whom Robert C. Wilson trusts overall

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

1. David J. Heeger
2. Nathaniel D. Daw
3. Richard S. Sutton
4. D. Navarro
5. Eric-Jan Wagenmakers
6. Jonathan D. Wallis
7. Michael D. Lee
8. Simon Justin Julier
9. Andrew Barto
10. Andrew Gelman

Who trusts Robert C. Wilson overall

1. Nicolas W. Schuck
2. Yael Niv
3. Nina Lopatina
4. Olivia Guest
5. Mingbo Cai
6. Samuel J. Gershman

Papers from Robert C. Wilson's perspective

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

1. Reinforcement Learning: An Introduction
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Information Theory, Inference, and Learning Algorithms
6. Long Short-Term Memory
7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Pattern Recognition and Machine Learning
10. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

Their papers

• Ten simple rules for the computational modeling of behavioral data (2019) — 564 citations
• Human Orbitofrontal Cortex Represents a Cognitive Map of State Space. (2016) — 529 citations
• Reinforcement Learning in Multidimensional Environments Relies on Attention Mechanisms (2015) — 352 citations
• Orbitofrontal cortex as a cognitive map of task space (2014) — 790 citations
• Rational regulation of learning dynamics by pupil–linked arousal systems (2012) — 664 citations
• A Neural Implementation of the Kalman Filter (2009) — 61 citations