Academic Journal

Long-Term Semantic Priming: A Computational Account and Empirical Evidence

التفاصيل البيبلوغرافية
العنوان: Long-Term Semantic Priming: A Computational Account and Empirical Evidence
المؤلفون: Suzanna Becker, Morris Moscovitch, Marlene Behrmann, Steve Joordens
سنة النشر: 2018
المجموعة: KiltHub Research from Carnegie Mellon University
مصطلحات موضوعية: Psychology not elsewhere classified, psychology
الوصف: Semantic priming is traditionally viewed as an effect that rapidly decays. A new view of long-term word priming in attractor neural networks is proposed. The model predicts long-term semantic priming under certain conditions. That is, the task must engage semantic-level processing to a sufficient degree. The predictions were confirmed in computer simulations and in 3 experiments. Experiment 1 showed that when target words are each preceded by multiple semantically related primes, there is long-lag priming on a semanticdecision task but not on a lexical-decision task. Experiment 2 replicated the long-term semantic priming effect for semantic decisions with only one prime per target. Experiment 3 demonstrated semantic priming with much longer word lists at lags of 0, 4, and 8 items. These are the first experiments to demonstrate a semantic priming effect spanning many intervening items and lasting much longer than a few seconds.
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
Relation: https://figshare.com/articles/Long-Term_Semantic_Priming_A_Computational_Account_and_Empirical_Evidence/6617039
DOI: 10.1184/r1/6617039.v1
الاتاحة: https://doi.org/10.1184/r1/6617039.v1
https://figshare.com/articles/Long-Term_Semantic_Priming_A_Computational_Account_and_Empirical_Evidence/6617039
Rights: In Copyright
رقم الانضمام: edsbas.3BCAE604
قاعدة البيانات: BASE