Open AccessCategorical working memory representations are used in delayed estimation of continuous colors.
Author(s) -
Kyle O. Hardman,
Evie Vergauwe,
Timothy J. Ricker
Publication year - 2017
Publication title -
journal of experimental psychology. human perception and performance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.691
H-Index - 148
eISSN - 1939-1277
pISSN - 0096-1523
DOI - 10.1037/xhp0000290
Subject(s) - categorical variable , working memory , set (abstract data type) , short term memory , computer science , task (project management) , visual memory , artificial intelligence , psychology , cognitive psychology , machine learning , cognition , management , neuroscience , economics , programming language
In the last decade, major strides have been made in understanding visual working memory through mathematical modeling of color production responses. In the delayed color estimation task (Wilken & Ma, 2004), participants are given a set of colored squares to remember, and a few seconds later asked to reproduce those colors by clicking on a color wheel. The degree of error in these responses is characterized with mathematical models that estimate working memory precision and the proportion of items remembered by participants. A standard mathematical model of color memory assumes that items maintained in memory are remembered through memory for precise details about the particular studied shade of color. We contend that this model is incomplete in its present form because no mechanism is provided for remembering the coarse category of a studied color. In the present work, we remedy this omission and present a model of visual working memory that includes both continuous and categorical memory representations. In 2 experiments, we show that our new model outperforms this standard modeling approach, which demonstrates that categorical representations should be accounted for by mathematical models of visual working memory. (PsycINFO Database Record