z-logo
open-access-imgOpen Access
Uncertainty in learning, choice, and visual fixation
Author(s) -
Hrvoje Stojić,
Jacob L. Orquin,
Peter Dayan,
Raymond J. Dolan,
Maarten Speekenbrink
Publication year - 2020
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.1911348117
Subject(s) - reinforcement learning , gaze , fixation (population genetics) , artificial intelligence , computer science , machine learning , psychology , econometrics , cognitive psychology , mathematics , biology , biochemistry , gene
Significance Humans cannot help but turn their gaze to objects that catch their attention. Our knowledge of the factors that govern this seizure, or of its effects in the context of learned decision making, is currently rather incomplete. We therefore monitored the gaze of human subjects as they learned to choose between multiple options whose value was initially unknown. We found evidence that attention was influenced by uncertainty and that the use of, and reduction in, uncertainty were, in turn, influenced by attention. Our findings provide evidence for approximately optimal models of learning and choice and uncover an intricate interplay between learning, choice, and attentional processes.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom