Kevin N. Gurney

Cognitive Neuroscience · 2001–2013

A researcher in the Science corpus: 9 papers; trusts 56 researchers and is trusted by 62 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 151 citations into it; #447 of 10,852 by trust here, #723 by citations
• Cellular and Molecular Neuroscience — 95 citations into it; #281 of 2,998 by trust here, #669 by citations
• Molecular Biology — 47 citations into it; #14,992 of 17,773 by trust here, #13,009 by citations
• Neuroscience — 35 citations into it
• Neurology — 30 citations into it; #350 of 1,455 by trust here, #961 by citations
• Statistical and Nonlinear Physics — 25 citations into it; #2,742 of 10,127 by trust here, #3,979 by citations
• Reinforcement Learning — 23 citations into it
• Experimental and Cognitive Psychology — 15 citations into it; #2,950 of 9,731 by trust here, #3,491 by citations

Whom Kevin N. Gurney trusts overall

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

1. Wolfram Schultz
2. Richard S. Sutton
3. Andrew Barto
4. Michael N. Shadlen
5. Steven H. Strogatz
6. Mark Newman
7. Xiao-Jing Wang
8. Tony J. Prescott
9. Jeffrey D. Schall
10. Joshua I. Gold

Who trusts Kevin N. Gurney overall

1. Gianluca Baldassarre
2. Michael J Frank
3. Rafal Bogacz
4. Henning Schroll
5. Francesco Mannella
6. Peter Redgrave
7. Fred Henrik Hamker
8. Karl J. Friston
9. Wolfram Schultz
10. Marco Mirolli

Papers from Kevin N. Gurney's perspective

Ordered by how strongly the researchers Kevin N. Gurney 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. An integrative theory of prefrontal cortex function.
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Collective dynamics of ‘small-world’ networks
8. Long Short-Term Memory
9. The debate over dopamine’s role in reward: the case for incentive salience
10. Statistical mechanics of complex networks

Their papers

• What is reinforced by phasic dopamine signals? (2008) — 264 citations
• The nucleus accumbens as a nexus between values and goals in goal-directed behavior: a review and a new hypothesis (2013) — 161 citations
• Intrinsically motivated action-outcome learning and goal-based action recall: a system-level bio-constrained computational model. (2013) — 60 citations
• Network ‘Small-World-Ness’: A Quantitative Method for Determining Canonical Network Equivalence (2008) — 1,397 citations
• The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions (2007) — 431 citations
• The brainstem reticular formation is a small-world, not scale-free, network (2006) — 625 citations
• The short-latency dopamine signal: a role in discovering novel actions? (2006) — 776 citations
• A computational model of action selection in the basal ganglia. II. Analysis and simulation of behaviour (2001) — 380 citations
• A computational model of action selection in the basal ganglia. I. A new functional anatomy (2001) — 652 citations