MARC details
000 -LEADER |
fixed length control field |
02486nam a22002897a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
NUCLARK |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20241213121923.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
241213b ph ||||| |||| 00| 0 eng d |
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
International Standard Serial Number |
0033-295X |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
NU CLARK |
Transcribing agency |
NU CLARK |
245 ## - TITLE STATEMENT |
Title |
As within, so without, as above, so below : |
Remainder of title |
common mechanisms can support between- and within-trial category learning dynamics / |
Statement of responsibility, etc. |
Emily R. Weichart, Matthew Galdo, Vladimir M. Sloutsky, and Brandon M. Turner |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
Washington D.C. : |
Name of publisher, distributor, etc. |
American Psychological Association, |
Date of publication, distribution, etc. |
c2022 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
pages 1104-1143 : |
Other physical details |
tables, figures. |
500 ## - GENERAL NOTE |
General note |
Includes appendices (pages 1142-1143). |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
Includes bibliographical references (pages 1137-1142). |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Two fundamental difficulties when learning novel categories are deciding (a) what information is relevant and (b) when to use that information. Although previous theories have specified how observers learn to attend to relevant dimensions over time, those theories have largely remained silent about how attention should be allocated on a within-trial basis, which dimensions of information should be sampled, and how the temporal order of information sampling influences learning. Here, we use the adaptive attention representation model (AARM) to demonstrate that a common set of mechanisms can be used to specify: (a) How the distribution of attention is updated between trials over the course of learning and (b) how attention dynamically shifts among dimensions within a trial. We validate our proposed set of mechanisms by comparing AARM's predictions to observed behavior in four case studies, which collectively encompass different theoretical aspects of selective attention. We use both eye-tracking and choice response data to provide a stringent test of how attention and decision processes dynamically interact during category learning. Specifically, how does attention to selected stimulus dimensions gives rise to decision dynamics, and in turn, how do decision dynamics influence which dimensions are attended to via gaze fixations? |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
CATEGORIZATION |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
LEARNING |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
DECISION DYNAMICS |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
EYE TRACKING |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Galdo, Mathew |
Relator term |
author. |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Sloutsky, Vladimir M. |
Relator term |
author. |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Turner, Brandon M. |
Relator term |
author. |
773 ## - HOST ITEM ENTRY |
Title |
Psychological Review |
Related parts |
Volume 129, Number 5 (October 2022) |
856 ## - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
<a href="https://doi.org/10.1037/rev0000381">https://doi.org/10.1037/rev0000381</a> |
Public note |
Supplemental materials |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Library of Congress Classification |
Koha item type |
Continuing Resources |
Suppress in OPAC |
No |