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  1. Does complexity matter? Meta-analysis of learner performance in artificial grammar tasks.Rachel Schiff & Pesia Katan - 2014 - Frontiers in Psychology 5.
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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.
  • Implicit Learning and Acquisition of Music.Martin Rohrmeier & Patrick Rebuschat - 2012 - Topics in Cognitive Science 4 (4):525-553.
    Implicit learning is a core process for the acquisition of a complex, rule‐based environment from mere interaction, such as motor action, skill acquisition, or language. A body of evidence suggests that implicit knowledge governs music acquisition and perception in nonmusicians and musicians, and that both expert and nonexpert participants acquire complex melodic, harmonic, and other features from mere exposure. While current findings and computational modeling largely support the learning of chunks, some results indicate learning of more complex structures. Despite the (...)
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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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  • More than one way to see it: Individual heuristics in avian visual computation.Andrea Ravignani, Gesche Westphal-Fitch, Ulrike Aust, Martin M. Schlumpp & W. Tecumseh Fitch - 2015 - Cognition 143 (C):13-24.
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  • What Determines the Perception of Segmentation in Contemporary Music?Michelle Phillips, Andrew J. Stewart, J. Matthew Wilcoxson, Luke A. Jones, Emily Howard, Pip Willcox, Marcus du Sautoy & David De Roure - 2020 - Frontiers in Psychology 11.
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  • Music Cognition and the Cognitive Sciences.Marcus Pearce & Martin Rohrmeier - 2012 - Topics in Cognitive Science 4 (4):468-484.
    Why should music be of interest to cognitive scientists, and what role does it play in human cognition? We review three factors that make music an important topic for cognitive scientific research. First, music is a universal human trait fulfilling crucial roles in everyday life. Second, music has an important part to play in ontogenetic development and human evolution. Third, appreciating and producing music simultaneously engage many complex perceptual, cognitive, and emotional processes, rendering music an ideal object for studying the (...)
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  • Learning to like it: Aesthetic perception of bodies, movements and choreographic structure.Guido Orgs, Nobuhiro Hagura & Patrick Haggard - 2013 - Consciousness and Cognition 22 (2):603-612.
    Appreciating human movement can be a powerful aesthetic experience. We have used apparent biological motion to investigate the aesthetic effects of three levels of movement representation: body postures, movement transitions and choreographic structure. Symmetrical and asymmetrical sequences of apparent movement were created from static postures, and were presented in an artificial grammar learning paradigm. Additionally, “good” continuation of apparent movements was manipulated by changing the number of movement path reversals within a sequence. In an initial exposure phase, one group of (...)
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  • Explicit feedback maintains implicit knowledge.Andy D. Mealor & Zoltan Dienes - 2013 - Consciousness and Cognition 22 (3):822-832.
    The role of feedback was investigated with respect to conscious and unconscious knowledge acquired during artificial grammar learning . After incidental learning of training sequences, participants classified further sequences in terms of grammaticality and reported their decision strategy with or without explicit veridical feedback. Sequences that disobeyed the learning structure conformed to an alternative structure. Feedback led to an increase in the amount of reported conscious knowledge of structure but did not increase its accuracy. Conversely, feedback maintained the accuracy of (...)
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  • Learning and Liking of Melody and Harmony: Further Studies in Artificial Grammar Learning.Psyche Loui - 2012 - Topics in Cognitive Science 4 (4):554-567.
    Much of what we know and love about music is based on implicitly acquired mental representations of musical pitches and the relationships between them. While previous studies have shown that these mental representations of music can be acquired rapidly and can influence preference, it is still unclear which aspects of music influence learning and preference formation. This article reports two experiments that use an artificial musical system to examine two questions: (1) which aspects of music matter most for learning, and (...)
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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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  • Implicit learning of mappings between forms and metaphorical meanings.Fengying Li, Xiuyan Guo, Lei Zhu, Zhiliang Yang & Zoltan Dienes - 2013 - Consciousness and Cognition 22 (1):174-183.
    Previous research has shown that people can implicitly acquire mappings between word forms and literal meanings . We argue, from the metaphor-representation and embodiment perspectives, that people can unconsciously establish mappings between word forms and not only literal but also metaphorical meanings. Using Williams’ paradigm, we found that transfer of form-meaning connections from a concrete domain to an abstract domain was achieved in a metaphor-consistent way without awareness. Our results support the view that unconscious knowledge can be flexibly deployed in (...)
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  • Rhythmic Effects of Syntax Processing in Music and Language.Harim Jung, Samuel Sontag, YeBin S. Park & Psyche Loui - 2015 - Frontiers in Psychology 6.
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  • Unconscious structural knowledge of form–meaning connections.Weiwen Chen, Xiuyan Guo, Jinghua Tang, Lei Zhu, Zhiliang Yang & Zoltan Dienes - 2011 - Consciousness and Cognition 20 (4):1751-1760.
    We investigated the implicit learning of a linguistically relevant variable in a natural language context . Trial by trial subjective measures indicated that exposure to a form–animacy regularity led to unconscious knowledge of that regularity. Under the same conditions, people did not learn about another form–meaning regularity when a linguistically arbitrary variable was used instead of animacy . Implicit learning is constrained to acquire unconscious knowledge about features with high prior probabilities of being relevant in that domain.
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  • Generality and specificity in the effects of musical expertise on perception and cognition.Daniel Carey, Stuart Rosen, Saloni Krishnan, Marcus T. Pearce, Alex Shepherd, Jennifer Aydelott & Frederic Dick - 2015 - Cognition 137 (C):81-105.
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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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