Saccade vigor and the subjective economic value of visual stimuli

Abstract

Behavioral economics relies on subjective evaluation, an abstract quantity that cannot be measured directly but must be inferred by fitting decision models to the choice patterns. Here, we present a new approach to estimate subjective value: with nothing to fit, we show that it is possible to estimate subjective value based on movement kinematics, providing a modest ability to predict a participant’s preferences without prior measurement of their choice patterns.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 01, 2020
Source ID
10.1152/jn.00700.2019

Entities

People

  • Afareen Jaleel
  • Alaa A. Ahmed
  • Reza Shadmehr
  • Tehrim Yoon

Organizations

  • Johns Hopkins School of Medicine
  • National Institute of Neurological Disorders and Stroke
  • National Science Foundation Directorate for Biological Sciences
  • Office of Naval Research Global
  • University of Colorado

Tags

Fields of Study

  • Biology

Readers

  • Circadian Sleep-Wake Regulation and Chronobiology
  • Systems Analysis and Design
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference