Woo-Young Ahn

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 Woo-Young Ahn 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. Aki Vehtari

Papers from Woo-Young Ahn's perspective

Ordered by how strongly the researchers Woo-Young Ahn trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. Information Theory, Inference, and Learning Algorithms
3. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
4. Inference from Iterative Simulation Using Multiple Sequences
5. WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
6. Bayes factors
7. Estimating the Dimension of a Model
8. Sampling-Based Approaches to Calculating Marginal Densities
9. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
10. Bayesian measures of model complexity and fit

Their papers

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