• Login
    View Item 
    •   Home
    • Colleges & Programs
    • Medical College of Georgia (MCG)
    • Department of Neurology
    • Department of Neurology: Faculty Research and Presentations
    • View Item
    •   Home
    • Colleges & Programs
    • Medical College of Georgia (MCG)
    • Department of Neurology
    • Department of Neurology: Faculty Research and Presentations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of Scholarly CommonsCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsThis CollectionTitleAuthorsIssue DateSubmit DateSubjects

    My Account

    LoginRegister

    About

    AboutCreative CommonsAugusta University LibrariesUSG Copyright Policy

    Statistics

    Display statistics

    Focusing on Attention: The Effects of Working Memory Capacity and Load on Selective Attention

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    pone.0043101.pdf
    Size:
    378.2Kb
    Format:
    PDF
    Download
    Authors
    Ahmed, Lubna
    de Fockert, Jan W.
    Issue Date
    2012-08-28
    URI
    http://hdl.handle.net/10675.2/822
    
    Metadata
    Show full item record
    Abstract
    Background: Working memory (WM) is imperative for effective selective attention. Distractibility is greater under conditions of high (vs. low) concurrent working memory load (WML), and in individuals with low (vs. high) working memory capacity (WMC). In the current experiments, we recorded the flanker task performance of individuals with high and low WMC during low and high WML, to investigate the combined effect of WML and WMC on selective attention.
    Methodology/Principal Findings: In
    Conclusions/Significance: The current findings show that limitations in WM resources, due to either WML or individual differences in WMC, affect the spatial distribution of attention. The difference in attentional constraining between high and low WMC individuals demonstrated in the current experiments helps characterise the nature of previously established associations between WMC and controlled attention.
    Citation
    PLoS One. 2012 Aug 28; 7(8):e43101
    ae974a485f413a2113503eed53cd6c53
    10.1371/journal.pone.0043101
    Scopus Count
    Collections
    Department of Neurology: Faculty Research and Presentations

    entitlement

    Related articles

    • Individual differences in working memory capacity and episodic retrieval: examining the dynamics of delayed and continuous distractor free recall.
    • Authors: Unsworth N
    • Issue date: 2007 Nov
    • Working-memory capacity predicts the executive control of visual search among distractors: the influences of sustained and selective attention.
    • Authors: Poole BJ, Kane MJ
    • Issue date: 2009 Jul
    • Individual differences in working memory capacity and distractor processing: possible contribution of top-down inhibitory control.
    • Authors: Minamoto T, Osaka M, Osaka N
    • Issue date: 2010 Jun 4
    • Individual differences in the delayed execution of prospective memories.
    • Authors: Ball BH, Knight JB, Dewitt MR, Brewer GA
    • Issue date: 2013
    • Lapsed attention to elapsed time? Individual differences in working memory capacity and temporal reproduction.
    • Authors: Broadway JM, Engle RW
    • Issue date: 2011 May

    Related items

    Showing items related by title, author, creator and subject.

    • Thumbnail

      Overt Attention and Context Factors: The Impact of Repeated Presentations, Image Type, and Individual Motivation

      Kaspar, Kai; König, Peter; Tsien, Joe Z.; Department of Neurology; College of Graduate Studies (2011-07-5)
      The present study investigated the dynamic of the attention focus during observation of different categories of complex scenes and simultaneous consideration of individuals' memory and motivational state. We repeatedly presented four types of complex visual scenes in a pseudo-randomized order and recorded eye movements. Subjects were divided into groups according to their motivational disposition in terms of action orientation and individual rating of scene interest.
    • Thumbnail

      Fragment-Based Learning of Visual Object Categories in Non-Human Primates

      Kromrey, Sarah; Maestri, Matthew; Hauffen, Karin; Bart, Evgeniy; Hegéd, Jay; Brain & Behavior Discovery Institute; Vision Discovery Institute; Department of Ophthalmology (2010-11-24)
      When we perceive a visual object, we implicitly or explicitly associate it with an object category we know. Recent research has shown that the visual system can use local, informative image fragments of a given object, rather than the whole object, to classify it into a familiar category. We have previously reported, using human psychophysical studies, that when subjects learn new object categories using whole objects, they incidentally learn informative fragments, even when not required to do so. However, the neuronal mechanisms by which we acquire and use informative fragments, as well as category knowledge itself, have remained unclear. Here we describe the methods by which we adapted the relevant human psychophysical methods to awake, behaving monkeys and replicated key previous psychophysical results. This establishes awake, behaving monkeys as a useful system for future neurophysiological studies not only of informative fragments in particular, but also of object categorization and category learning in general.
    • Thumbnail

      Double Dissociation of Amygdala and Hippocampal Contributions to Trace and Delay Fear Conditioning

      Raybuck, Jonathan D.; Lattal, K. Matthew; Tsien, Joe Z.; Department of Neurology (2011-01-19)
      A key finding in studies of the neurobiology of learning memory is that the amygdala is critically involved in Pavlovian fear conditioning. This is well established in delay-cued and contextual fear conditioning; however, surprisingly little is known of the role of the amygdala in trace conditioning. Trace fear conditioning, in which the CS and US are separated in time by a trace interval, requires the hippocampus and prefrontal cortex. It is possible that recruitment of cortical structures by trace conditioning alters the role of the amygdala compared to delay fear conditioning, where the CS and US overlap. To investigate this, we inactivated the amygdala of male C57BL/6 mice with GABA A agonist muscimol prior to 2-pairing trace or delay fear conditioning. Amygdala inactivation produced deficits in contextual and delay conditioning, but had no effect on trace conditioning. As controls, we demonstrate that dorsal hippocampal inactivation produced deficits in trace and contextual, but not delay fear conditioning. Further, pre- and post-training amygdala inactivation disrupted the contextual but the not cued component of trace conditioning, as did muscimol infusion prior to 1- or 4-pairing trace conditioning. These findings demonstrate that insertion of a temporal gap between the CS and US can generate amygdala-independent fear conditioning. We discuss the implications of this surprising finding for current models of the neural circuitry involved in fear conditioning.
    DSpace software (copyright © 2002 - 2021)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.