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  1. 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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  • 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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  • Information‐Theoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory.Kat Agres, Samer Abdallah & Marcus Pearce - 2018 - Cognitive Science 42 (1):43-76.
    A basic function of cognition is to detect regularities in sensory input to facilitate the prediction and recognition of future events. It has been proposed that these implicit expectations arise from an internal predictive coding model, based on knowledge acquired through processes such as statistical learning, but it is unclear how different types of statistical information affect listeners’ memory for auditory stimuli. We used a combination of behavioral and computational methods to investigate memory for non-linguistic auditory sequences. Participants repeatedly heard (...)
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  • Differences in Neurocognitive Mechanisms Underlying the Processing of Center-Embedded and Non–Embedded Musical Structures.Xie Ma, Nai Ding, Yun Tao & Yu Fang Yang - 2018 - Frontiers in Human Neuroscience 12.
  • Toward a General Psychological Model of Tension and Suspense.Moritz Lehne & Stefan Koelsch - 2015 - Frontiers in Psychology 6.
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  • Modelling Unsupervised Online-Learning of Artificial Grammars: Linking Implicit and Statistical Learning.Martin A. Rohrmeier & Ian Cross - 2014 - Consciousness and Cognition 27:155-167.
  • Music Cognition and the Cognitive Sciences.Marcus Pearce & Martin Rohrmeier - 2012 - Topics in Cognitive Science 4 (4):468-484.
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  • Two Challenges in Cognitive Musicology.David Huron - 2012 - Topics in Cognitive Science 4 (4):678-684.
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  • Auditory Expectation: The Information Dynamics of Music Perception and Cognition.Marcus T. Pearce & Geraint A. Wiggins - 2012 - Topics in Cognitive Science 4 (4):625-652.
    Following in a psychological and musicological tradition beginning with Leonard Meyer, and continuing through David Huron, we present a functional, cognitive account of the phenomenon of expectation in music, grounded in computational, probabilistic modeling. We summarize a range of evidence for this approach, from psychology, neuroscience, musicology, linguistics, and creativity studies, and argue that simulating expectation is an important part of understanding a broad range of human faculties, in music and beyond.
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  • Incidental Learning of Melodic Structure of North Indian Music.Martin Rohrmeier & Richard Widdess - 2017 - Cognitive Science 41 (5):1299-1327.
    Musical knowledge is largely implicit. It is acquired without awareness of its complex rules, through interaction with a large number of samples during musical enculturation. Whereas several studies explored implicit learning of mostly abstract and less ecologically valid features of Western music, very little work has been done with respect to ecologically valid stimuli as well as non-Western music. The present study investigated implicit learning of modal melodic features in North Indian classical music in a realistic and ecologically valid way. (...)
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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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  • A Dynamical Model of Pitch Memory Provides an Improved Basis for Implied Harmony Estimation.Kim Ji Chul - 2017 - Frontiers in Psychology 8.
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