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: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Previous research with preexperimentally familiar faces and names has identified several memory-related components in the event-related potential (ERP). Here we aimed to characterize these components while controlling the quality of long-term memory with a standardized learning procedure for unfamiliar faces and names. After 1 week, recognition was tested in a repetition priming paradigm. Both early repetition effects (ERE/N250r) and old/new effects had very similar time course and domain-related scalp topographies as has been reported for preexperimentally familiar stimuli. The late repetition effects (LRE/N400) showed domain-specific scalp topographies, possibly reflecting the greater ease of deriving semantic codes from faces. Importantly, parallel-test reliabilities of performance and memory-related ERP components were high, thus demonstrating the utility of face learning for formal assessment procedures in person recognition.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1111/j.1469-8986.2007.00505.x | DOI Listing |
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