Ian Krajbich, Ph.D.

Affiliations: 
Behavioral and Social Neuroscience California Institute of Technology, Pasadena, CA 
Area:
Neuroeconomics
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Parents

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Antonio Rangel grad student 2011 Caltech
 (Neurometrically informed mechanism design and the role of visual fixations in simple choice.)

Collaborators

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Rafael Polania collaborator 2012-
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Publications

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Chen F, Zheng J, Wang L, et al. (2024) Attribute latencies causally shape intertemporal decisions. Nature Communications. 15: 2948
Berlinghieri R, Krajbich I, Maccheroni F, et al. (2023) Measuring utility with diffusion models. Science Advances. 9: eadf1665
Smith SM, Krajbich I. (2022) Predictions and choices for others: Some insights into how and why they differ. Journal of Experimental Psychology. General
Shevlin BRK, Smith SM, Hausfeld J, et al. (2022) High-value decisions are fast and accurate, inconsistent with diminishing value sensitivity. Proceedings of the National Academy of Sciences of the United States of America. 119
Yang X, Krajbich I. (2022) A dynamic computational model of gaze and choice in multi-attribute decisions. Psychological Review
Desai N, Krajbich I. (2021) Decomposing preferences into predispositions and evaluations. Journal of Experimental Psychology. General
Krajbich I, Mitsumasu A, Polania R, et al. (2021) A causal role for the right frontal eye fields in value comparison. Elife. 10
Thomas AW, Molter F, Krajbich I. (2021) Uncovering the computational mechanisms underlying many-alternative choice. Elife. 10
Smith SM, Krajbich I. (2021) Mental representations distinguish value-based decisions from perceptual decisions. Psychonomic Bulletin & Review
Stillman PE, Krajbich I, Ferguson MJ. (2020) Using dynamic monitoring of choices to predict and understand risk preferences. Proceedings of the National Academy of Sciences of the United States of America
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