Lei Zhang
Cognitive Neuroscience · with Lee · 2016–2019
A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 37 citations into it
- Statistics and Probability — 20 citations into it
- Artificial Intelligence — 18 citations into it
- General Decision Sciences — 13 citations into it
- Experimental and Cognitive Psychology — 11 citations into it
Whom Lei Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Gelman
- John K. Kruschke
- Michael D. Lee
- Peter S. Dayan
- Thomas R. Insel
- David J. Lunn
- Quentin J. M. Huys
- Nathaniel D. Daw
- John P. O'Doherty
- Donald B. Rubin
Papers from Lei Zhang's perspective
Ordered by how strongly the researchers Lei Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Inference from Iterative Simulation Using Multiple Sequences
- WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
- Bayes factors
- Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
- False-Positive Psychology (Psychology Science)
- The neural correlates of subjective value during intertemporal choice (Nature Neuroscience)
- A theory of Pavlovian conditioning : Variations in the effectiveness of reinforcement and nonreinforcement
- Decision theory, reinforcement learning, and the brain
- Bayesian data analysis, third edition
- Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
Their papers
- Variability in the analysis of a single neuroimaging dataset by many teams (2019) — 901 citations
- Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package (2016) — 312 citations