Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Integrating prior semantic knowledge with environmental information is essential for everyday cognition, yet how this process affects ongoing perception and memory remains a vexing problem. We investigate this by studying how associative semantic knowledge interacts with perceptual constraints induced by brief encoding times, thereby supporting visual working memory (VWM) for real-world objects. Study 1 reanalyzed data from Quirk et al. (2020), involving 75 participants across 13,750 trials of a VWM task with randomly chosen objects and verbal distraction. We found that objects' semantic associations, estimated by a natural language processing model, predicted trial-level VWM accuracy under brief but not prolonged encoding times (0.2 s vs. 1-2 s). These results, unaffected by image similarity from computer vision models, were replicated in Study 2 with 50 participants across 11,880 trials. Combined, these findings suggest that semantic associations between arbitrary object pairs can facilitate effective grouping among VWM items to mitigate perceptual constraints, highlighting the broad influence of semantic knowledge in VWM formation. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
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Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12229084 | PMC |
http://dx.doi.org/10.1037/xhp0001347 | DOI Listing |