Auditory but Not Audiovisual Cues Lead to Higher Neural Sensitivity to the Statistical Regularities of an Unfamiliar Musical Style
暂无分享,去创建一个
Marcus T. Pearce | Peter M. C. Harrison | Joydeep Bhattacharya | Caroline Di Bernardi Luft | Ioanna Zioga
[1] T. Stanford,et al. Superadditivity in multisensory integration: putting the computation in context. , 2007, Neuroreport.
[2] M. Pearce. Statistical learning and probabilistic prediction in music cognition: mechanisms of stylistic enculturation , 2018, Annals of the New York Academy of Sciences.
[3] Stefan Koelsch,et al. Processing Expectancy Violations during Music Performance and Perception: An ERP Study , 2010, Journal of Cognitive Neuroscience.
[4] M. Tervaniemi,et al. Representation of harmony rules in the human brain: Further evidence from event-related potentials , 2007, Brain Research.
[5] Christo Pantev,et al. Musical expertise is related to neuroplastic changes of multisensory nature within the auditory cortex , 2015, The European journal of neuroscience.
[6] Marcus T. Pearce,et al. Melodic pitch expectation interacts with neural responses to syntactic but not semantic violations , 2013, Cortex.
[7] K. Squires,et al. Variations in early and late event-related components of the auditory evoked potential with task difficulty. , 1983, Electroencephalography and clinical neurophysiology.
[8] C. Bowles. Music Activity Preferences of Elementary Students , 1998 .
[9] William I. Abler. Just Say a System for Remembering Finger Placement in Various Keys on the Violin , 2002 .
[10] Claude Alain,et al. Perceptual learning modulates sensory evoked response during vowel segregation. , 2003, Brain research. Cognitive brain research.
[11] C. J. McGrath,et al. Effect of exchange rate return on volatility spill-over across trading regions , 2012 .
[12] E. Pothos. Theories of artificial grammar learning. , 2007, Psychological bulletin.
[13] R. Näätänen,et al. Early selective-attention effect on evoked potential reinterpreted. , 1978, Acta psychologica.
[14] D. Pisoni,et al. ON SPOKEN LANGUAGE PROCESSING Progress Report No . 25 ( 2001-2002 ) Indiana University Some New Findings on Learning , Memory and Cognitive Processes in Deaf Children Following Cochlear Implantation , 2002 .
[15] Carol A. Seger,et al. Implicit learning. , 1994, Psychological bulletin.
[16] Stefan Koelsch,et al. Differences in Electric Brain Responses to Melodies and Chords , 2010, Journal of Cognitive Neuroscience.
[17] Axel Mecklinger,et al. Error and Deviance Processing in Implicit and Explicit Sequence Learning , 2008, Journal of Cognitive Neuroscience.
[18] Stefan Koelsch,et al. Under the hood of statistical learning: A statistical MMN reflects the magnitude of transitional probabilities in auditory sequences , 2016, Scientific Reports.
[19] Yang Zhang,et al. Learning Temporal Statistics for Sensory Predictions in Aging , 2016, Journal of Cognitive Neuroscience.
[20] Hans-Jochen Heinze,et al. Tactile stimulation and hemispheric asymmetries modulate auditory perception and neural responses in primary auditory cortex , 2013, NeuroImage.
[21] D. Wessel,et al. Learning and Liking an Artificial Musical System: Effects of Set Size and Repeated Exposure , 2008, Musicae scientiae : the journal of the European Society for the Cognitive Sciences of Music.
[22] E. Newport,et al. WORD SEGMENTATION : THE ROLE OF DISTRIBUTIONAL CUES , 1996 .
[23] David B. Pisoni,et al. Some Measures of Verbal and Spatial Working Memory in Eight- and Nine-Year-Old Hearing-Impaired Children with Cochlear Implants , 2001, Ear and hearing.
[24] Job P. Lindsen,et al. That note sounds wrong! Age-related effects in processing of musical expectation , 2017, Brain and Cognition.
[25] Stefan Koelsch,et al. Shared neural resources between music and language indicate semantic processing of musical tension-resolution patterns. , 2008, Cerebral cortex.
[26] Christopher W. Robinson,et al. When audition dominates vision: evidence from cross-modal statistical learning. , 2013, Experimental psychology.
[27] Brenda Rapp,et al. Principles of cross-modal competition: Evidence from deficits of attention , 2003, Psychonomic bulletin & review.
[28] Morten H. Christiansen,et al. Domain generality versus modality specificity: the paradox of statistical learning , 2015, Trends in Cognitive Sciences.
[29] R. Oostenveld,et al. Nonparametric statistical testing of EEG- and MEG-data , 2007, Journal of Neuroscience Methods.
[30] C. Ponton,et al. Central Auditory Plasticity: Changes in the N1-P2 Complex after Speech-Sound Training , 2001, Ear and hearing.
[31] Clay B. Holroyd,et al. Frontal midline theta and N200 amplitude reflect complementary information about expectancy and outcome evaluation. , 2013, Psychophysiology.
[32] Joan Y. Chiao,et al. An Event-related fMRI Study of Artificial Grammar Learning in a Balanced Chunk Strength Design , 2004, Journal of Cognitive Neuroscience.
[33] Ruth Stevens,et al. Improving children's working memory and classroom performance , 2010 .
[34] N. Kraus,et al. Auditory training induces asymmetrical changes in cortical neural activity. , 2002, Journal of speech, language, and hearing research : JSLHR.
[35] David Goodman,et al. Performance Monitoring in the Anterior Cingulate is Not All Error Related: Expectancy Deviation and the Representation of Action-Outcome Associations , 2007, Journal of Cognitive Neuroscience.
[36] Karl J. Friston,et al. A theory of cortical responses , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[37] Christopher W. Robinson,et al. Existence of competing modality dominances , 2016, Attention, Perception, & Psychophysics.
[38] I. Cross,et al. Modelling unsupervised online-learning of artificial grammars: Linking implicit and statistical learning , 2014, Consciousness and Cognition.
[39] Elizabeth K. Johnson,et al. Statistical learning of tone sequences by human infants and adults , 1999, Cognition.
[40] Kazuo Okanoya,et al. On-line Assessment of Statistical Learning by Event-related Potentials , 2008, Journal of Cognitive Neuroscience.
[41] Jessica A. Grahn,et al. Neural correlates of audiovisual integration in music reading , 2016, Neuropsychologia.
[42] Ying Liu,et al. Visual Analysis and Lexical Access of Chinese Characters by Chinese as Second Language Readers , 2006 .
[43] J. Cohen,et al. P300, stimulus intensity, modality, and probability. , 1996, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[44] Martin Rohrmeier,et al. Implicit Learning and Acquisition of Music , 2012, Top. Cogn. Sci..
[45] Annette Hohenberger,et al. N1-P2: Neural markers of temporal expectation and response discrimination in interval timing. , 2019, Acta neurobiologiae experimentalis.
[46] Scott P. Johnson,et al. Visual statistical learning in infancy: evidence for a domain general learning mechanism , 2002, Cognition.
[47] R. Aslin,et al. Statistical learning of higher-order temporal structure from visual shape sequences. , 2002, Journal of experimental psychology. Learning, memory, and cognition.
[48] Justyna Humięcka-Jakubowska,et al. Sweet Anticipation : Music and , 2006 .
[49] D H Brainard,et al. The Psychophysics Toolbox. , 1997, Spatial vision.
[50] Marcus T. Pearce,et al. Musical Syntax II: Empirical Perspectives , 2018 .
[51] J. Saffran,et al. Changing the tune: the structure of the input affects infants' use of absolute and relative pitch. , 2005, Developmental science.
[52] Aaron R. Seitz,et al. Sound Facilitates Visual Learning , 2006, Current Biology.
[53] Marcia C. Linn,et al. Linking Cognitive Science to Education: Generation and Interleaving Effects , 2005 .
[54] Stefan Koelsch,et al. The Role of Harmonic Expectancy Violations in Musical Emotions: Evidence from Subjective, Physiological, and Neural Responses , 2006, Journal of Cognitive Neuroscience.
[55] Psyche Loui,et al. Learning and Liking of Melody and Harmony: Further Studies in Artificial Grammar Learning , 2012, Top. Cogn. Sci..
[56] Aaron R. Seitz,et al. Benefits of multisensory learning , 2008, Trends in Cognitive Sciences.
[57] Geraint A. Wiggins,et al. The Role of Expectation and Probabilistic Learning in Auditory Boundary Perception: A Model Comparison , 2010, Perception.
[58] M. Woldorff,et al. Effects of attention on the neural processing of harmonic syntax in Western music. , 2005, Brain research. Cognitive brain research.
[59] Peter M C Harrison,et al. From learning to creativity: Identifying the behavioural and neural correlates of learning to predict human judgements of musical creativity , 2020, NeuroImage.
[60] A. Engel,et al. What is novel in the novelty oddball paradigm? Functional significance of the novelty P3 event-related potential as revealed by independent component analysis. , 2005, Brain research. Cognitive brain research.
[61] Panagiotis D Bamidis,et al. Musical expertise is related to altered functional connectivity during audiovisual integration , 2015, Proceedings of the National Academy of Sciences.
[62] Sibylle C. Herholz,et al. Audio-Tactile Integration and the Influence of Musical Training , 2014, PloS one.
[63] C. Spence,et al. The co-occurrence of multisensory competition and facilitation. , 2008, Acta psychologica.
[64] Sibylle C. Herholz,et al. Tones and numbers: A combined EEG–MEG study on the effects of musical expertise in magnitude comparisons of audiovisual stimuli , 2014, Human brain mapping.
[65] Christo Pantev,et al. Multisensory Integration during Short-term Music Reading Training Enhances Both Uni- and Multisensory Cortical Processing , 2014, Journal of Cognitive Neuroscience.
[66] Sibylle C. Herholz,et al. Statistical learning effects in musicians and non-musicians: An MEG study , 2012, Neuropsychologia.
[67] M. Pearce,et al. Electrophysiological correlates of melodic processing in congenital amusia , 2013, Neuropsychologia.
[68] D. Wechsler. Manual for the Wechsler Adult Intelligence Scale. , 1955 .
[69] E. Brattico,et al. Distinct neural responses to chord violations: A multiple source analysis study , 2011, Brain Research.
[70] A. Friederici,et al. Brain Indices of Music Processing: Nonmusicians are Musical , 2000, Journal of Cognitive Neuroscience.
[71] John J. Foxe,et al. Multisensory visual-auditory object recognition in humans: a high-density electrical mapping study. , 2004, Cerebral cortex.
[72] A. Michalski,et al. Expectation of an important event affects responses to irrelevant stimuli of different modalities. , 2000, Acta neurobiologiae experimentalis.
[73] Arnaud Delorme,et al. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.
[74] S. McAdams,et al. Implicit learning of musical timbre sequences: statistical regularities confronted with acoustical (dis)similarities. , 2004, Journal of experimental psychology. Learning, memory, and cognition.
[75] R. Bjork,et al. The Generation Effect: Support for a Two-Factor Theory , 1988 .
[76] P. Juslin. Emotional Responses to Music , 2008 .
[77] D Elliott,et al. Examining the Specificity of Practice Hypothesis: Is Learning Modality Specific? , 2001, Research quarterly for exercise and sport.
[78] Morten H. Christiansen,et al. Sequential Expectations: The Role of Prediction-Based Learning in Language , 2010, Top. Cogn. Sci..
[79] D. Bosnyak,et al. Distributed auditory cortical representations are modified when non-musicians are trained at pitch discrimination with 40 Hz amplitude modulated tones. , 2004, Cerebral cortex.
[80] Panagiotis D. Bamidis,et al. Statistical learning of multisensory regularities is enhanced in musicians: An MEG study , 2018, NeuroImage.
[81] Alice Mado Proverbio,et al. Language switching mechanisms in simultaneous interpreters: an ERP study , 2004, Neuropsychologia.
[82] J. L. Cantero,et al. The time course of neural changes underlying auditory perceptual learning. , 2002, Learning & memory.
[83] Morten H. Christiansen,et al. Timing is everything: Changes in presentation rate have opposite effects on auditory and visual implicit statistical learning , 2011, Quarterly journal of experimental psychology.
[84] Christo Pantev,et al. Musical Expertise Induces Audiovisual Integration of Abstract Congruency Rules , 2012, The Journal of Neuroscience.
[85] S. Koelsch,et al. When the statistical MMN meets the physical MMN , 2019, Scientific Reports.
[86] W. Dowling. Emotion and Meaning in Music , 2008 .
[87] T W Picton,et al. N2 and automatic versus controlled processes. , 1986, Electroencephalography and clinical neurophysiology. Supplement.
[88] Zoe Kourtzi,et al. Decoding the future from past experience: learning shapes predictions in early visual cortex , 2015, Journal of neurophysiology.
[89] Markus J. Hofmann,et al. No one way ticket from orthography to semantics in recognition memory: N400 and P200 effects of associations , 2016, Brain Research.
[90] Daniel Müllensiefen,et al. The Musicality of Non-Musicians: An Index for Assessing Musical Sophistication in the General Population , 2014, PloS one.
[91] R. Schmidt,et al. New Conceptualizations of Practice: Common Principles in Three Paradigms Suggest New Concepts for Training , 1992 .
[92] D. Västfjäll,et al. Emotional responses to music: the need to consider underlying mechanisms. , 2008, The Behavioral and brain sciences.
[93] Carla L. Hudson Kam,et al. Humans Rapidly Learn Grammatical Structure in a New Musical Scale. , 2010, Music perception.
[94] David B Pisoni,et al. Effects of Early Musical Experience on Auditory Sequence Memory. , 2008, Empirical musicology review : EMR.
[95] Timothy D. Lee,et al. Distribution of Practice in Motor Skill Acquisition: Learning and Performance Effects Reconsidered , 1988 .
[96] E. Bjork,et al. Making things hard on yourself, but in a good way: Creating desirable difficulties to enhance learning. , 2011 .
[97] Odelia Schwartz,et al. Statistical Learning of Melodic Patterns Influences the Brain's Response to Wrong Notes , 2017, Journal of Cognitive Neuroscience.
[98] S. Gathercole,et al. Working Memory and Learning: A Practical Guide for Teachers , 2008 .
[99] C. Spence. Explaining the Colavita visual dominance effect. , 2009, Progress in brain research.
[100] D. Leutner,et al. Assessment of Cognitive Load in Multimedia Learning with Dual-Task Methodology: Auditory Load and Modality Effects , 2004 .
[101] R N Aslin,et al. Statistical Learning by 8-Month-Old Infants , 1996, Science.
[102] C. Joyce,et al. The face-sensitive N170 and VPP components manifest the same brain processes: The effect of reference electrode site , 2005, Clinical Neurophysiology.
[103] Robert Oostenveld,et al. FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data , 2010, Comput. Intell. Neurosci..
[104] M. Pearce,et al. Predictive uncertainty in auditory sequence processing , 2014, Front. Psychol..
[105] M. Rugg,et al. Electrophysiology of Mind: Event-Related Brain Potentials and Cognition , 1995 .
[106] Masato Yumoto,et al. Statistical learning of music- and language-like sequences and tolerance for spectral shifts , 2015, Neurobiology of Learning and Memory.
[107] Arthur S. Reber,et al. Cognition Unawares. (Book Reviews: Implicit Learning and Tacit Knowledge. An Essay on the Cognitive Unconscious.) , 1996 .
[108] Seung-Goo Kim,et al. The Effect of Conditional Probability of Chord Progression on Brain Response: An MEG Study , 2011, PloS one.
[109] Morten H. Christiansen,et al. PSYCHOLOGICAL SCIENCE Research Article Statistical Learning Within and Between Modalities Pitting Abstract Against Stimulus-Specific Representations , 2022 .
[110] R. Bjork. Memory and metamemory considerations in the training of human beings. , 1994 .
[111] F. Craik,et al. Depth of processing and the retention of words , 1975 .
[112] B. Kopp,et al. Brain mechanisms of selective learning: event-related potentials provide evidence for error-driven learning in humans , 2000, Biological Psychology.
[113] I. Cross,et al. Incidental and online learning of melodic structure , 2011, Consciousness and Cognition.
[114] Daniel M. Oppenheimer,et al. Fortune favors the ( ): Effects of disfluency on educational outcomes , 2011, Cognition.
[115] Marcus T. Pearce,et al. The construction and evaluation of statistical models of melodic structure in music perception and composition , 2005 .
[116] Jenny R. Saffran,et al. Learning Harmony: The Role of Serial Statistics , 2009, Cogn. Sci..
[117] C. Stevens,et al. Sweet Anticipation: Music and the Psychology of Expectation, by David Huron . Cambridge, Massachusetts: MIT Press, 2006 , 2007 .
[118] N. Chater,et al. Transfer in artificial grammar learning : A reevaluation , 1996 .
[119] The transfer effect in artificial grammar learning: Reappraising the evidence on the transfer of sequential dependencies. , 1999 .
[120] Morten H. Christiansen,et al. Modality-constrained statistical learning of tactile, visual, and auditory sequences. , 2005, Journal of experimental psychology. Learning, memory, and cognition.
[121] S. Koelsch,et al. Effects of Unexpected Chords and of Performer's Expression on Brain Responses and Electrodermal Activity , 2008, PloS one.
[122] Ran El-Yaniv,et al. On Prediction Using Variable Order Markov Models , 2004, J. Artif. Intell. Res..
[123] María Herrojo Ruiz,et al. Unsupervised statistical learning underpins computational, behavioural, and neural manifestations of musical expectation , 2010, NeuroImage.
[124] C. Winstein,et al. Learning–performance distinction and memory processes for motor skills: A focused review and perspective , 2012, Behavioural Brain Research.
[125] Daniel M. Oppenheimer,et al. Fortune favors the bold (and the Italicized): effects of disfluency on educational outcomes. , 2011, Cognition.
[126] Ruth H. Maki,et al. Increased processing enhances calibration of comprehension , 1990 .
[127] C. Spence,et al. Visual dominance and attention: The Colavita effect revisited , 2007, Perception & psychophysics.
[128] A. Reber. Implicit learning and tacit knowledge , 1993 .
[129] Geraint A. Wiggins,et al. Probabilistic models of expectation violation predict psychophysiological emotional responses to live concert music , 2013, Cognitive, Affective, & Behavioral Neuroscience.
[130] A. Diederich,et al. The race model inequality: interpreting a geometric measure of the amount of violation. , 2006, Psychological review.