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Fine‐grained versus categorical: Pupil size differentiates between strategies for spatial working memory performance
Author(s) -
Starc Martina,
Anticevic Alan,
Repovš Grega
Publication year - 2017
Publication title -
psychophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.661
H-Index - 156
eISSN - 1469-8986
pISSN - 0048-5772
DOI - 10.1111/psyp.12828
Subject(s) - pupillometry , pupillary response , psychology , working memory , cognitive psychology , pupil , contrast (vision) , categorical variable , encoding (memory) , cognition , computer science , artificial intelligence , neuroscience , machine learning
Pupillometry provides an accessible option to track working memory processes with high temporal resolution. Several studies showed that pupil size increases with the number of items held in working memory; however, no study has explored whether pupil size also reflects the quality of working memory representations. To address this question, we used a spatial working memory task to investigate the relationship of pupil size with spatial precision of responses and indicators of reliance on generalized spatial categories. We asked 30 participants (15 female, aged 19–31) to remember the position of targets presented at various locations along a hidden radial grid. After a delay, participants indicated the remembered location with a high‐precision joystick providing a parametric measure of trial‐to‐trial accuracy. We recorded participants' pupil dilations continuously during task performance. Results showed a significant relation between pupil dilation during preparation/early encoding and the precision of responses, possibly reflecting the attentional resources devoted to memory encoding. In contrast, pupil dilation at late maintenance and response predicted larger shifts of responses toward prototypical locations, possibly reflecting larger reliance on categorical representation. On an intraindividual level, smaller pupil dilations during encoding predicted larger dilations during late maintenance and response. On an interindividual level, participants relying more on categorical representation also produced larger precision errors. The results confirm the link between pupil size and the quality of spatial working memory representation. They suggest compensatory strategies of spatial working memory performance—loss of precise spatial representation likely increases reliance on generalized spatial categories.