Nathaniel Haines

Cognitive Neuroscience · 2016

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 23 citations into it
• Artificial Intelligence — 15 citations into it
• Statistics and Probability — 10 citations into it
• General Decision Sciences — 7 citations into it
• Experimental and Cognitive Psychology — 5 citations into it

Whom Nathaniel Haines trusts overall

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

1. Andrew Gelman
2. John K. Kruschke
3. Michael D. Lee
4. Peter S. Dayan
5. Thomas R. Insel
6. David J. Lunn
7. Quentin J. M. Huys
8. Nathaniel D. Daw
9. John P. O'Doherty
10. Donald B. Rubin

Papers from Nathaniel Haines's perspective

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

1. Inference from Iterative Simulation Using Multiple Sequences
2. WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
3. Reinforcement Learning: An Introduction
4. Bayes factors
5. Information Theory, Inference, and Learning Algorithms
6. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
7. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
8. The neural correlates of subjective value during intertemporal choice (Nature Neuroscience)
9. A theory of Pavlovian conditioning : Variations in the effectiveness of reinforcement and nonreinforcement
10. Decision theory, reinforcement learning, and the brain

Their papers

• Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package (2016) — 312 citations