Characterizing the time course of decision-making in change detection (Record no. 3273)

MARC details
000 -LEADER
fixed length control field 02191nam a22003137a 4500
003 - CONTROL NUMBER IDENTIFIER
control field NUCLARK
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240918130112.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240906b ph ||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 0033-295X
040 ## - CATALOGING SOURCE
Transcribing agency NUCLARK
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Blunden, Anthea G.
Relator term author.
245 ## - TITLE STATEMENT
Title Characterizing the time course of decision-making in change detection
Statement of responsibility, etc. / Anthea G. Blunden [and three others].
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Washington DC :
Name of publisher, distributor, etc. American Psychological Association,
Date of publication, distribution, etc. 2022
300 ## - PHYSICAL DESCRIPTION
Extent 107-145 pages :
Other physical details illustrations ;
Dimensions 28 cm.
365 ## - TRADE PRICE
Price amount $305
500 ## - GENERAL NOTE
General note Published in Psychological Review, Volume 129, Number 6, November 2022.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes appendices and bibliographical references (p. 139-145).
520 ## - SUMMARY, ETC.
Summary, etc. We propose a novel modeling framework for characterizing the time course of change detection based on information held in visual short-term memory (VSTM). Specifically, we seek to answer whether change detection is better captured by a first-order integration model, in which information is pooled from each location, or a second-order integration model, in which each location is processed independently. We diagnose whether change detection across locations proceeds in serial or parallel and how processing is affected by the stopping rule (i.e., detecting any change vs. detecting all changes; Experiment 1) and how the efficiency of detection is affected by the number of changes in the display (Experiment 2). We find that although capacity is generally limited in both tasks, the architecture varies from parallel self-terminating in the OR task to serial self-terminating in the AND task. Our novel framework allows model comparisons across a large set of models ruling out several competing explanations of change detection.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element VISUAL SHORT-TERM MEMORY.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element CHANGE DETECTION.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element DECISION-MAKING.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MENTAL ARCHITECTURE.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element SYSTEMS FACTORIAL TECHNOLOGY.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Hammond, Dylan A.
Relator term author.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Howe, Piers D.L.
Relator term author.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Little, Daniel R.
Relator term author.
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.037/rev0000306">https://doi.org/10.037/rev0000306</a>
Public note Full text available with subscription.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Continuing Resources
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Date last seen Price effective from Koha item type
    Library of Congress Classification     NU Clark NU Clark 09/06/2024   09/06/2024 09/06/2024 Continuing Resources

© 2024 NU LRC CLARK. All rights reserved. Privacy Policy I Powered by: KOHA