Complex network structure influences processing in long-term and short-term memory
In: Journal of memory and language (Print), Jg. 67 (2012), Heft 1, S. 30-44
academicJournal
- print, 1 p.1/4
Zugriff:
Complex networks describe how entities in systems interact; the structure of such networks is argued to influence processing. One measure of network structure, clustering coefficient, C, measures the extent to which neighbors of a node are also neighbors of each other. Previous psycholinguistic experiments found that the C of phonological word-forms influenced retrieval from the mental lexicon (that portion of long-term memory dedicated to language) during the on-line recognition and production of spoken words. In the present study we examined how network structure influences other retrieval processes in long- and short-term memory. In a false-memory task―examining long-term memory― participants falsely recognized more words with low- than high-C. In a recognition memory task—examining veridical memories in long-term memory—participants correctly recognized more words with low- than high-C. However, participants in a serial recall task—examining redintegration in short-term memory—recalled lists comprised of high-C words more accurately than lists comprised of low-C words. These results demonstrate that network structure influences cognitive processes associated with several forms of memory including lexical, long-term, and short-term.
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Complex network structure influences processing in long-term and short-term memory
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Autor/in / Beteiligte Person: | VITEVITCH, Michael S ; KIT YING, CHAN ; ROODENRYS, Steven |
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Zeitschrift: | Journal of memory and language (Print), Jg. 67 (2012), Heft 1, S. 30-44 |
Veröffentlichung: | Amsterdam: Elsevier, 2012 |
Medientyp: | academicJournal |
Umfang: | print, 1 p.1/4 |
ISSN: | 0749-596X (print) |
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