Academic Journal
Long-Term Semantic Priming: A Computational Account and Empirical Evidence
العنوان: | Long-Term Semantic Priming: A Computational Account and Empirical Evidence |
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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 |
DOI: | 10.1184/r1/6617039.v1 |
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