{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T13:10:11Z","timestamp":1729948211291,"version":"3.28.0"},"reference-count":40,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2000,3,1]],"date-time":"2000-03-01T00:00:00Z","timestamp":951868800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cognitive Science"],"published-print":{"date-parts":[[2000,3]]},"abstract":"<jats:p>The <jats:italic>fan effect<\/jats:italic> says that \u201cactivation\u201d spreading from a concept is divided among the concepts it spreads to. Because this activation is not a physical entity, but an abstraction of unknown lower\u2010level processes, the spreading activation model has predictive but not explanatory power. We provide one explanation of the fan effect by showing that distributed neuronal memory networks (specifically, Hopfield networks) reproduce four qualitative aspects of the fan effect: faster recognition of sentences containing lower\u2010fan words, faster recognition of sentences when more cues are provided, faster acceptance of studied sentences than rejection of probes, and faster recognition of sentences studied more frequently. These are all a natural result of the dynamics of distributed associative memory.<\/jats:p>","DOI":"10.1207\/s15516709cog2401_5","type":"journal-article","created":{"date-parts":[[2005,8,6]],"date-time":"2005-08-06T01:39:08Z","timestamp":1123292348000},"page":"151-167","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Neuronal Basis for the Fan Effect"],"prefix":"10.1111","volume":"24","author":[{"given":"Philip","family":"Goetz","sequence":"first","affiliation":[]},{"given":"Deborah","family":"Walters","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2000,3]]},"reference":[{"volume-title":"Associative dynamics in a chaotic neural network","year":"1995","author":"Adachi M.","key":"e_1_2_1_2_1"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/T-C.1972.223477"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.55.1530"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511623257"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/0010-0285(74)90021-8"},{"volume-title":"Language, memory, and thought.","year":"1976","author":"Anderson J. 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