Ian Krajbich
Cognitive Neuroscience · 2008–2015
A researcher in the Science corpus: 6 papers; trusts 15 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 85 citations into it; #1,170 of 10,852 by trust here, #1,607 by citations
- General Decision Sciences — 26 citations into it; #524 of 1,995 by trust here, #953 by citations
- Economics and Econometrics — 12 citations into it
- Sensory Systems — 9 citations into it; #149 of 760 by trust here, #189 by citations
Whom Ian Krajbich trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Antonio Rangel
- Joshua I. Gold
- Philip L. Smith
- Marius Usher
- Milica D. Milosavljević
- Roger Ratcliff
- Michael N. Shadlen
- K. Armel
- James L. McClelland
- Colin F. Camerer
Who trusts Ian Krajbich overall
- Antonio Rangel
- Jacob L. Orquin
- Roger Ratcliff
- Richard P. Heitz
- John A. Clithero
- Simone Mueller Loose
- Cary Frydman
- Philip L. Smith
- Drew Fudenberg
- Dingchao Lu
Papers from Ian Krajbich's perspective
Ordered by how strongly the researchers Ian Krajbich trusts endorse each paper. Same corpus, a different order for every researcher.
- Psychology and neurobiology of simple decisions.
- A comparison of sequential sampling models for two-choice reaction time. (Psychology Review)
- Visual fixations and the computation and comparison of value in simple choice (Nature Neuroscience)
- A framework for studying the neurobiology of value-based decision making (Nature Reviews Neuroscience)
- The time course of perceptual choice: the leaky, competing accumulator model.
- How the brain integrates costs and benefits during decision making
- The Drift Diffusion Model can account for the accuracy and reaction time of value-based choices under high and low time pressure (Judgment and Decision Making)
- Computational modelling of visual attention
- The neural basis of decision making. (Annual Review of Neuroscience)
- The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions (Neural Computation)
Their papers
- The Attentional Drift-Diffusion Model Extends to Simple Purchasing Decisions (2012) — 330 citations
- Rethinking fast and slow based on a critique of reaction time reverse inference (2015) — 361 citations
- Benefits of neuroeconomic modeling: New policy interventions and predictors of preference (2014) — 120 citations
- Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions (2011) — 681 citations
- Visual fixations and the computation and comparison of value in simple choice (2010) — 1,274 citations
- The Wick in the Candle of Learning (2008) — 878 citations