Simple Co-Occurrence Statistics Reproducibly Predict Association Ratings.

Hofmann, Markus J; Biemann, Chris; Westbury, Chris; Murusidze, Mariam; Conrad, Markus; Jacobs, Arthur M

Hofmann, Markus J; Biemann, Chris; Westbury, Chris; Murusidze, Mariam; Conrad, Markus; Jacobs, Arthur M.

Afiliação

Hofmann MJ; Department of Psychology, University of Wuppertal.
Biemann C; Department of Computer Science, University of Hamburg.
Westbury C; Department of Psychology, University of Alberta.
Murusidze M; Department of Psychology, Free University Berlin.
Conrad M; Department of Psychology, Free University Berlin.
Jacobs AM; Department of Psychology, Free University Berlin.

Cogn Sci ; 42(7): 2287-2312, 2018 09.

Article em En | MEDLINE | ID: mdl-30098213

Assuntos

Associação; Idioma; Adulto; Nível de Alerta; Emoções; Feminino; Humanos; Masculino; Memória de Longo Prazo; Pessoa de Meia-Idade; Semântica; Adulto Jovem

Palavras-chave

Association strength; Associative read-out model; Co-occurrence statistics; Interactive activation model; Semantic long-term memory

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Associação / Idioma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article

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