Skip navigation
Please use this identifier to cite or link to this item:
Title: Learning what’s relevant in a largely irrelevant world: The role of selective attention in learning
Authors: Leong, Yuan Chang
Advisors: Niv, Yael
Contributors: Norman, Ken
Department: Psychology
Class Year: 2013
Abstract: This thesis presents a framework to study the interaction between attention and learning. The framework proposes that learning processes act on an attentionally-filtered representation of the environment and that the attention filter is dynamically modulated by the outcomes of ongoing learning. These assumptions were tested in a series of experiments in which participants performed a multi-dimensional decision-making task with probabilistic rewards. Choice behavior was analyzed using computational models. Some of these models incorporated information about participants’ focus of attention, which was decoded on each trial by combining eye-tracking with pattern classification of functional magnetic resonance imaging (fMRI) data. Model-based analysis of behavior provided preliminary evidence that attention helps determine what we learn about, but we also learn what to attend to.
Extent: 90 pages
Access Restrictions: Walk-in Access. This thesis can only be viewed on computer terminals at the Mudd Manuscript Library.
Type of Material: Princeton University Senior Theses
Language: en_US
Appears in Collections:Psychology, 1930-2016

Files in This Item:
File SizeFormat 
yl_SeniorThesis.pdf2.7 MBAdobe PDF    Request a copy

Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.