Sang Wan Lee

Cognitive Neuroscience · with O'Doherty · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 39 citations into it; #10,824 of 10,852 by trust here, #7,130 by citations
• Reinforcement Learning — 14 citations into it
• Artificial Intelligence — 10 citations into it
• Neuroscience — 6 citations into it

Whom Sang Wan Lee trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Hirotugu Akaike
4. Etienne Koechlin
5. Florentin Wörgötter
6. John P. O'Doherty
7. Peter S. Dayan
8. Jan Gläscher
9. Adam R. Aron
10. Vikram S. Chib

Who trusts Sang Wan Lee overall

1. Ida Momennejad
2. Wendy Wood
3. Evan M. Russek
4. Samuel J. Gershman

Papers from Sang Wan Lee's perspective

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

1. Reinforcement Learning: An Introduction
2. Estimating the Dimension of a Model
3. Gradient-based learning applied to document recognition
4. Adapting Bias by Gradient Descent: An Incremental Version of Delta-Bar-Delta
5. ImageNet classification with deep convolutional neural networks
6. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
7. Bayesian Model Selection for Group Studies (NeuroImage)
8. Dissociable Roles of Ventral and Dorsal Striatum in Instrumental Conditioning (Science)
9. Habits, rituals, and the evaluative brain. (Annual Review of Neuroscience)
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• The structure of reinforcement-learning mechanisms in the human brain (2015) — 97 citations
• Neural computations underlying arbitration between model-based and model-free learning (2013) — 592 citations