Dane S. Corneil

Cognitive Neuroscience · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 58 citations into it
• Cellular and Molecular Neuroscience — 45 citations into it
• Electrical and Electronic Engineering — 36 citations into it
• Artificial Intelligence — 21 citations into it
• Reinforcement Learning — 14 citations into it

Whom Dane S. Corneil trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Wolfram Schultz
4. Ronald J. Williams
5. J. Urgen Schmidhuber
6. Satinder Singh
7. Kenji Doya
8. A. Harry Klopf
9. Razvan V. Florian
10. Kenneth D. Miller

Papers from Dane S. Corneil's perspective

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

1. Reinforcement Learning: An Introduction
2. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
3. Asynchronous Methods for Deep Reinforcement Learning
4. Gradient-based learning applied to document recognition
5. ImageNet classification with deep convolutional neural networks
6. A Neural Substrate of Prediction and Reward
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Neural networks and physical systems with emergent collective computational abilities.
9. Curious model-building control systems
10. Long Short-Term Memory

Their papers

• Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of NeoHebbian Three-Factor Learning Rules (2018) — 347 citations