Daeyeol Lee

Cognitive Neuroscience · 2004–2023

A researcher in the Science corpus: 7 papers; trusts 26 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 96 citations into it; #3,315 of 10,852 by trust here, #2,700 by citations
• Cellular and Molecular Neuroscience — 36 citations into it
• Reinforcement Learning — 12 citations into it
• Game & Decision Theory — 9 citations into it
• Economics & Operations Research — 6 citations into it
• Cognitive Science & Psychology — 5 citations into it
• Economics and Econometrics — 5 citations into it
• Molecular Biology — 5 citations into it

Whom Daeyeol Lee trusts overall

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

1. Xiao-Jing Wang
2. Richard S. Sutton
3. Wolfram Schultz
4. Andrew Barto
5. Daniel Kahneman
6. John N. J. Reynolds
7. Colin F. Camerer
8. Michael N. Shadlen
9. Peter S. Dayan
10. Vijaykumar Gullapalli

Who trusts Daeyeol Lee overall

1. Nathaniel D. Daw
2. Xiao-Jing Wang
3. Wolfram Schultz
4. Shimon Edelman

Papers from Daeyeol Lee's perspective

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

1. Reinforcement Learning: An Introduction
2. A Neural Substrate of Prediction and Reward
3. Gradient-based learning applied to document recognition
4. ImageNet classification with deep convolutional neural networks
5. Psychology and neurobiology of simple decisions.
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Markov Games as a Framework for Multi-Agent Reinforcement Learning
8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
9. Behavioral theories and the neurophysiology of reward. (Annual Review of Psychology)
10. Lateral habenula as a source of negative reward signals in dopamine neurons (Nature)

Their papers

• Functional brain networks reflect spatial and temporal autocorrelation (2023)
• Multiple timescales of neural dynamics and integration of task-relevant signals across cortex (2020)
• Neural basis of reinforcement learning and decision making. (2012) — 500 citations
• Neural Basis of Learning and Preference during Social Decision Making (2012) — 44 citations
• Mechanisms for Stochastic Decision Making in the Primate Frontal Cortex (2009) — 25 citations
• Neural mechanism for stochastic behaviour during a competitive game (2006) — 76 citations
• Prefrontal cortex and decision making in a mixed-strategy game (2004) — 683 citations