A dynamic neural field model of temporal order judgments

Hecht, Lauren N., Spencer, John P. ORCID: https://orcid.org/0000-0002-7320-144X and Vecera, Shaun P. (2015) A dynamic neural field model of temporal order judgments. Journal of Experimental Psychology: Human Perception and Performance, 41 (6). pp. 1718-1733. ISSN 0096-1523

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Temporal ordering of events is biased, or influenced, by perceptual organization—figure–ground organization—and by spatial attention. For example, within a region assigned figural status or at an attended location, onset events are processed earlier (Lester, Hecht, & Vecera, 2009; Shore, Spence, & Klein, 2001), and offset events are processed for longer durations (Hecht & Vecera, 2011; Rolke, Ulrich, & Bausenhart, 2006). Here, we present an extension of a dynamic field model of change detection (Johnson, Spencer, Luck, & Schöner, 2009; Johnson, Spencer, & Schöner, 2009) that accounts for both the onset and offset performance for figural and attended regions. The model posits that neural populations processing the figure are more active, resulting in a peak of activation that quickly builds toward a detection threshold when the onset of a target is presented. This same enhanced activation for some neural populations is maintained when a present target is removed, creating delays in the perception of the target’s offset. We discuss the broader implications of this model, including insights regarding how neural activation can be generated in response to the disappearance of information. (PsycINFO Database Record (c) 2015 APA, all rights reserved)

Item Type: Article
Additional Information: This article may not exactly replicate the final version published in the APA journal. It is not the copy of record
Faculty \ School: Faculty of Social Sciences > School of Psychology
UEA Research Groups: Faculty of Social Sciences > Research Groups > Developmental Science
Depositing User: Pure Connector
Date Deposited: 22 Dec 2015 14:06
Last Modified: 22 Oct 2022 00:27
URI: https://ueaeprints.uea.ac.uk/id/eprint/55851
DOI: 10.1037/xhp0000097


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