[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/2857491.2888586acmconferencesArticle/Chapter ViewAbstractPublication PagesetraConference Proceedingsconference-collections
abstract

Pupil size as an indicator of neurochemical activity during learning

Published: 14 March 2016 Publication History

Abstract

Neurochemical systems are well studied in animal learning; however, ethical issues limit methodologies to explore these systems in humans. Pupillometry provides a glimpse into the brain's neurochemical systems, where pupil dynamics in monkeys have been linked with locus coeruleus (LC) activity, which releases norepinephrine (NE) throughout the brain. The objective of my research is to understand the role of neurochemicals in human learning. Specifically, I aim to 1) Establish a non-invasive method to study the role of neurochemicals in human learning, 2) Develop methods to monitor learning in real time using pupillometry, and 3) Discover causal relationships between neurochemicals and learning in human subjects. In this article, to address Objective 1, we present evidence that pupil dynamics can be used as a surrogate measure of neurochemical activity during learning. Specifically, we hypothesize that norepinephrine modulates the encoding of memories, the influence of which can be measured with pupil dynamics. To examine this hypothesis a task-irrelevant learning paradigm was used, in which learning is boosted for stimuli temporally paired with task targets. We show that participants better recognize images that are paired with task targets than distractors and, in correspondence, that pupil size changes more for target-paired than distractor-paired images. To further investigate the hypothesis that NE nonspecifically guides learning for stimuli that are present with its release, a second procedure was used that employed an unexpected sound to activate the LC--NE system and induce pupil-size changes; results indicated a corresponding increase in memorization of images paired with the unexpected sounds. Together, these results suggest a relationship between the LC--NE system, pupil-size changes, and learning. My ongoing work aims to develop methods to monitor learning in real time by investigating the relationship between, pupil size changes, eye movement and learning in context of a free visual search task. Future work will investigate the causal relationship between neurochemicals, learning and pupil dynamics by using NE specific drugs to up- and down-regulate levels of NE during learning.

References

[1]
Aston-Jones, G., & Cohen, J. D. (2005). An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance. Annu. Rev. Neurosci., 28, 403--450.
[2]
Hoffing, R. C., & Seitz, A. R. (2015). Pupillometry as a glimpse into the neurochemical basis of human memory encoding. Journal of cognitive neuroscience. 27:4, 765-774
[3]
Leclercq, V., & Seitz, A. R. (2012). Enhancement from targets and suppression from cues in fast task-irrelevant perceptual learning. Acta Psychol (Amst), 141(1), 31--38.
[4]
Murphy, P. R., Robertson, I. H., Balsters, J. H., & O'connell, R. G. (2011). Pupillometry and P3 index the locus coeruleus--noradrenergic arousal function in humans. Psychophysiology, 48(11), 1532--1543.
[5]
Nassar, M. R., Rumsey, K. M., Wilson, R. C., Parikh, K., Heasly, B., & Gold, J. I. (2012). Rational regulation of learning dynamics by pupil-linked arousal systems. Nat Neurosci, 15(7), 1040--1046.
[6]
Rajkowski, J., Kubiak, P., & Aston-Jones, G. (1993). Correlations between locus coeruleus (LC) neural activity, pupil diameter and behavior in monkey support a role of LC in attention. Society for Neuroscience Abstract, 19:974.
[7]
Seitz, A. R., & Dinse, H. R. (2007). A common framework for perceptual learning. Curr Opin Neurobiol, 17(2), 148--153.
[8]
Seitz, A. R., Nanez, J. E., Holloway, S. R., & Watanabe, T. (2006). Perceptual learning of motion leads to faster flicker perception. PLoS ONE, 1, e28.
[9]
Seitz, A. R., & Watanabe, T. (2009). The phenomenon of task-irrelevant perceptual learning. Vision Res, 49(21), 2604--2610.
[10]
Silvetti, M., Seurinck, R., van Bochove, M., & Verguts, T. (2013). The influence of the noradrenergic system on optimal control of neural plasticity. Frontiers in Behav Neuro, 7.
[11]
Vlahou, E., Seitz, A. R., & Protopapas, A. (2009). Implicit learning of non-native speech stimuli. J Exp Psychol Gen. 2012 May; 141(2):381.
[12]
Yu, A. J., & Dayan, P. (2005). Uncertainty, neuromodulation, and attention. Neuron, 46(4), 681-692.

Cited By

View all
  • (2021)Measuring Visual Fatigue and Cognitive Load via Eye Tracking while Learning with Virtual Reality Head-Mounted Displays: A ReviewInternational Journal of Human–Computer Interaction10.1080/10447318.2021.197650938:9(801-824)Online publication date: 30-Sep-2021

Index Terms

  1. Pupil size as an indicator of neurochemical activity during learning

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    ETRA '16: Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications
    March 2016
    378 pages
    ISBN:9781450341257
    DOI:10.1145/2857491
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 14 March 2016

    Check for updates

    Qualifiers

    • Abstract

    Funding Sources

    Conference

    ETRA '16
    ETRA '16: 2016 Symposium on Eye Tracking Research and Applications
    March 14 - 17, 2016
    South Carolina, Charleston

    Acceptance Rates

    Overall Acceptance Rate 69 of 137 submissions, 50%

    Upcoming Conference

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)14
    • Downloads (Last 6 weeks)2
    Reflects downloads up to 11 Dec 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2021)Measuring Visual Fatigue and Cognitive Load via Eye Tracking while Learning with Virtual Reality Head-Mounted Displays: A ReviewInternational Journal of Human–Computer Interaction10.1080/10447318.2021.197650938:9(801-824)Online publication date: 30-Sep-2021

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media