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  1. A Dual Simple Recurrent Network Model for Chunking and Abstract Processes in Sequence Learning.Lituan Wang, Yangqin Feng, Qiufang Fu, Jianyong Wang, Xunwei Sun, Xiaolan Fu, Lei Zhang & Zhang Yi - 2021 - Frontiers in Psychology 12.
    Although many studies have provided evidence that abstract knowledge can be acquired in artificial grammar learning, it remains unclear how abstract knowledge can be attained in sequence learning. To address this issue, we proposed a dual simple recurrent network model that includes a surface SRN encoding and predicting the surface properties of stimuli and an abstract SRN encoding and predicting the abstract properties of stimuli. The results of Simulations 1 and 2 showed that the DSRN model can account for learning (...)
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  • Impact of Response Stimulus Interval on Transfer of Non-local Dependent Rules in Implicit Learning: An ERP Investigation.Jianping Huang, Hui Dai, Jing Ye, Chuanlin Zhu, Yingli Li & Dianzhi Liu - 2017 - Frontiers in Psychology 8.
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  • Effects of an Additional Sequence of Color Stimuli on Visuomotor Sequence Learning.Kanji Tanaka & Katsumi Watanabe - 2017 - Frontiers in Psychology 8.
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  • Fluency Expresses Implicit Knowledge of Tonal Symmetry.Xiaoli Ling, Fengying Li, Fuqiang Qiao, Xiuyan Guo & Zoltan Dienes - 2016 - Frontiers in Psychology 7.
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  • The nature of the memory buffer in implicit learning: Learning Chinese tonal symmetries.Feifei Li, Shan Jiang, Xiuyan Guo, Zhiliang Yang & Zoltan Dienes - 2013 - Consciousness and Cognition 22 (3):920-930.
    Previous research has established that people can implicitly learn chunks, which do not require a memory buffer to process. The present study explores the implicit learning of nonlocal dependencies generated by higher than finite-state grammars, specifically, Chinese tonal retrogrades and inversions , which do require buffers . People were asked to listen to and memorize artificial poetry instantiating one of the two grammars; after this training phase, people were informed of the existence of rules and asked to classify new poems, (...)
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