Predictive information processing in music cognition. A critical review.
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[1] Geraint A. Wiggins,et al. Auditory Expectation: The Information Dynamics of Music Perception and Cognition , 2012, Top. Cogn. Sci..
[2] S. Kotz,et al. Ventral Premotor Cortex Lesions disrupt learning of sequential syntactic structures , 2009 .
[3] I. Cross. Music and Biocultural Evolution , 2012 .
[4] Edward W. Large,et al. Musical Tonality, Neural Resonance and Hebbian Learning , 2011, MCM.
[5] I. Cross,et al. Incidental and online learning of melodic structure , 2011, Consciousness and Cognition.
[6] E. Brattico,et al. Distinct neural responses to chord violations: A multiple source analysis study , 2011, Brain Research.
[7] Martin Rohrmeier,et al. Towards a generative syntax of tonal harmony , 2011 .
[8] Geraint A. Wiggins,et al. The Role of Expectation and Probabilistic Learning in Auditory Boundary Perception: A Model Comparison , 2010, Perception.
[9] Stefan Koelsch,et al. Differences in Electric Brain Responses to Melodies and Chords , 2010, Journal of Cognitive Neuroscience.
[10] Darrell Conklin,et al. Discovery of distinctive patterns in music , 2010, Intell. Data Anal..
[11] P. Morosan,et al. Broca's Region: Novel Organizational Principles and Multiple Receptor Mapping , 2010, PLoS biology.
[12] F. Panzica,et al. Event-related potential (ERP) markers of melodic processing: The N2 component is modulated by structural complexity, not by melodic ‘meaningfulness’ , 2010, Brain Research Bulletin.
[13] Christopher Raphael,et al. Music Plus One and Machine Learning , 2010, ICML.
[14] María Herrojo Ruiz,et al. Unsupervised statistical learning underpins computational, behavioural, and neural manifestations of musical expectation , 2010, NeuroImage.
[15] S. Koelsch. Towards a neural basis of music-evoked emotions , 2010, Trends in Cognitive Sciences.
[16] Ricarda I. Schubotz,et al. Prediction, Cognition and the Brain , 2009, Front. Hum. Neurosci..
[17] Edward W. Large,et al. Neurodynamics of Music , 2010 .
[18] Geraint A. Wiggins,et al. Development of Techniques for the Computational Modelling of Harmony , 2010, ICCC.
[19] Alison Pease,et al. Proceedings of the International Conference on Computational Creativity , 2010 .
[20] T. Eerola,et al. Expectancy in Sami Yoiks revisited: The role of data-driven and schema-driven knowledge in the formation of melodic expectations , 2009 .
[21] Jean-François Paiement,et al. Probabilistic models for melodic prediction , 2009, Artif. Intell..
[22] I. Winkler,et al. I Heard That Coming: Event-Related Potential Evidence for Stimulus-Driven Prediction in the Auditory System , 2009, The Journal of Neuroscience.
[23] Alice C. Roy,et al. Encoding of human action in Broca's area. , 2009, Brain : a journal of neurology.
[24] Angela D. Friederici,et al. Mathematical Logic in the Human Brain: Syntax , 2009, PloS one.
[25] Alfred Anwander,et al. Segregating the core computational faculty of human language from working memory , 2009, Proceedings of the National Academy of Sciences.
[26] 鐘期 坂本,et al. Tonal Pitch Space を用いた楽曲の和声解析 , 2009 .
[27] P. Janata. The Neural Architecture of Music-Evoked Autobiographical Memories , 2009, Cerebral cortex.
[28] Mark Steedman. The Blues and the Abstract Truth: Music and Mental Models , 2009 .
[29] Proceedings of the 31th Annual Conference of the Cognitive Science Society , 2009 .
[30] Vasili Byros,et al. Towards an "Archaeology" of Hearing: Schemata and Eighteenth-Century Consciousness , 2009 .
[31] S. Koelsch. Music-syntactic processing and auditory memory: similarities and differences between ERAN and MMN. , 2009, Psychophysiology.
[32] Kat Agres,et al. The Sparsity of Simple Recurrent Networks in Musical Structure Learning , 2009 .
[33] Arne Eigenfeldt,et al. Hierarchical Sequential Memory for Music: A Cognitive Model , 2009, ISMIR.
[34] James L. McClelland. The Place of Modeling in Cognitive Science , 2009, Top. Cogn. Sci..
[35] W. Dowling. Emotion and Meaning in Music , 2008 .
[36] J. Cole,et al. Enacting Intersubjectivity: A Cognitive and Social Perspective on the Study of Interactions , 2008 .
[37] Bo Cartling,et al. On the implicit acquisition of a context-free grammar by a simple recurrent neural network , 2008, Neurocomputing.
[38] P. Keller,et al. Action Planning in Sequential Skills: Relations to Music Performance , 2008, Quarterly journal of experimental psychology.
[39] Peter E. Keller,et al. Joint action in music performance , 2008 .
[40] M. D’Esposito. Working memory. , 2008, Handbook of clinical neurology.
[41] Robert H. Fujii,et al. Performance Evaluation of a Temporal Sequence Learning Spiking Neural Network , 2007, 7th IEEE International Conference on Computer and Information Technology (CIT 2007).
[42] Geraint A. Wiggins,et al. Towards Greater Objectivity in Music Theory: Information-Dynamic Analysis of Minimalist Music , 2007 .
[43] Costas S. Iliopoulos,et al. Proceedings of the 4th Sound and Music Computing Conference , 2007 .
[44] C. Stevens,et al. Sweet Anticipation: Music and the Psychology of Expectation, by David Huron . Cambridge, Massachusetts: MIT Press, 2006 , 2007 .
[45] R. Schubotz. Prediction of external events with our motor system: towards a new framework , 2007, Trends in Cognitive Sciences.
[46] D. Sammler,et al. Untangling syntactic and sensory processing: an ERP study of music perception. , 2007, Psychophysiology.
[47] M. Tervaniemi,et al. Representation of harmony rules in the human brain: Further evidence from event-related potentials , 2007, Brain Research.
[48] R. Kopiez,et al. Listening To Music As A Re-Creative Process: Physiological, Psychological, And Psychoacoustical Correlates Of Chills And Strong Emotions , 2007 .
[49] Joel E. Cohen,et al. Information theory and music , 2007 .
[50] M. Rohrmeier. A generative grammar approach to diatonic harmonic structure , 2007 .
[51] Martin Rohrmeier,et al. Modelling dynamics of key induction in harmony progressions , 2007 .
[52] Robert O. Gjerdingen,et al. Music in the galant style , 2007 .
[53] M. V. Velzen,et al. Self-organizing maps , 2007 .
[54] E. Pothos. Theories of artificial grammar learning. , 2007, Psychological bulletin.
[55] N. M. Collins,et al. Towards autonomous agents for live computer music : realtime machine listening and interactive music systems , 2007 .
[56] I. Peretz,et al. Musical scale properties are automatically processed in the human auditory cortex , 2006, Brain Research.
[57] D. Sammler,et al. Auditory processing during deep propofol sedation and recovery from unconsciousness , 2006, Clinical Neurophysiology.
[58] 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.
[59] Geraint A. Wiggins,et al. EXPECTATION IN MELODY: THE INFLUENCE OF CONTEXT AND LEARNING , 2006 .
[60] Judy A. Franklin,et al. Recurrent Neural Networks for Music Computation , 2006, INFORMS J. Comput..
[61] E. Koechlin,et al. Broca's Area and the Hierarchical Organization of Human Behavior , 2006, Neuron.
[62] E. Bigand,et al. Are we “experienced listeners”? A review of the musical capacities that do not depend on formal musical training , 2006, Cognition.
[63] J. Bharucha,et al. Varieties of musical experience , 2006, Cognition.
[64] Angela D. Friederici,et al. Effects of Musical Expertise and Boundary Markers on Phrase Perception in Music , 2006, Journal of Cognitive Neuroscience.
[65] Masafumi Nishida,et al. Analysis of Chord Progression by HPSG , 2006, Artificial Intelligence and Applications.
[66] A. Anwander,et al. The brain differentiates human and non-human grammars: Functional localization and structural connectivity , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[67] Alaa A. Kharbouch,et al. Three models for the description of language , 1956, IRE Trans. Inf. Theory.
[68] Marcus T. Pearce,et al. The construction and evaluation of statistical models of melodic structure in music perception and composition , 2005 .
[69] B. Tillmann. Implicit Investigations of Tonal Knowledge in Nonmusician Listeners , 2005, Annals of the New York Academy of Sciences.
[70] Eric Clarke,et al. Ways of Listening , 2005 .
[71] Eric Clarke,et al. Ways of Listening: An Ecological Approach to the Perception of Musical Meaning , 2005 .
[72] Stefan Koelsch,et al. Adults and children processing music: An fMRI study , 2005, NeuroImage.
[73] B. Tillmann,et al. Repetition priming: Is music special? , 2005, The Quarterly journal of experimental psychology. A, Human experimental psychology.
[74] Geraint A. Wiggins,et al. Improved Methods for Statistical Modelling of Monophonic Music , 2004 .
[75] Christopher K. I. Williams,et al. Harmonising Chorales by Probabilistic Inference , 2004, NIPS.
[76] Justin London,et al. Book Review: Hearing in Time: Psychological Aspects of Musical Meter (2nd Edition) , 2004 .
[77] Christopher Raphael,et al. Functional Harmonic Analysis Using Probabilistic Models , 2004, Computer Music Journal.
[78] R. Kakigi,et al. Musical Training Enhances Automatic Encoding of Melodic Contour and Interval Structure , 2004, Journal of Cognitive Neuroscience.
[79] Damián H. Zanette,et al. Zipf's law and the creation of musical context , 2004, ArXiv.
[80] A. Friederici. Processing local transitions versus long-distance syntactic hierarchies , 2004, Trends in Cognitive Sciences.
[81] Catherine J. Stevens,et al. A comparison of connectionist models of music recognition and human performance , 1992, Minds and Machines.
[82] J. Elman. Distributed representations, simple recurrent networks, and grammatical structure , 1991, Machine Learning.
[83] M. Clayton,et al. Music and Mediation Toward a New Sociology of Music chapter 22 part IV , in The Cultural Study of Music : A Critical Introduction , 2013 .
[84] Zoltan Dienes,et al. Two ways of learning associations , 2003, Cogn. Sci..
[85] Scott T. Grafton,et al. Swinging in the brain: shared neural substrates for behaviors related to sequencing and music , 2003, Nature Neuroscience.
[86] C. Krumhansl,et al. Measuring and Modeling Real-Time Responses to Music: The Dynamics of Tonality Induction , 2003, Perception.
[87] P. Janata,et al. Activation of the inferior frontal cortex in musical priming. , 2003, Annals of the New York Academy of Sciences.
[88] Tuomas Eerola,et al. The dynamics of musical expectancy : cross-cultural and statistical approaches to melodic expectations , 2003 .
[89] Marc Leman,et al. The Cortical Topography of Tonal Structures Underlying Western Music , 2002, Science.
[90] Stefan Koelsch,et al. Bach Speaks: A Cortical “Language-Network” Serves the Processing of Music , 2002, NeuroImage.
[91] Darrell Conklin,et al. Representation and Discovery of Vertical Patterns in Music , 2002, ICMAI.
[92] P. Janata,et al. Listening to polyphonic music recruits domain-general attention and working memory circuits , 2002, Cognitive, affective & behavioral neuroscience.
[93] S. Koelsch,et al. Electric brain responses to inappropriate harmonies during listening to expressive music , 2002, Clinical Neurophysiology.
[94] Barbara Tillmann,et al. Effect of harmonic relatedness on the detection of temporal asynchronies , 2002, Perception & psychophysics.
[95] L. Trainor,et al. Automatic and Controlled Processing of Melodic Contour and Interval Information Measured by Electrical Brain Activity , 2002, Journal of Cognitive Neuroscience.
[96] Hinrich Schütze,et al. Book Reviews: Foundations of Statistical Natural Language Processing , 1999, CL.
[97] Wulfram Gerstner,et al. Spiking Neuron Models , 2002 .
[98] Stuart J. Russell,et al. Dynamic bayesian networks: representation, inference and learning , 2002 .
[99] Edward W. Large,et al. Perceiving temporal regularity in music , 2002, Cogn. Sci..
[100] D. Temperley. The Cognition of Basic Musical Structures , 2001 .
[101] L M Parsons,et al. Exploring the Functional Neuroanatomy of Music Performance, Perception, and Comprehension , 2001, Annals of the New York Academy of Sciences.
[102] A. Friederici,et al. Musical syntax is processed in Broca's area: an MEG study , 2001, Nature Neuroscience.
[103] J. Sloboda,et al. Functions of Music in Everyday Life: An Exploratory Study Using the Experience Sampling Method , 2001 .
[104] Timothy Rice,et al. The Garland encyclopedia of world music , 2001 .
[105] Darrell Conklin,et al. Representation and Discovery of Multiple Viewpoint Patterns , 2001, ICMC.
[106] Barbara Tillmann,et al. Implicit learning of tonality: A self-organizing approach , 2000 .
[107] C. Krumhansl,et al. Cross-cultural music cognition: cognitive methodology applied to North Sami yoiks , 2000, Cognition.
[108] Stefan Koelsch,et al. Musical syntax is processed in the area of Broca: an MEG study , 2000, NeuroImage.
[109] A. Friederici,et al. Brain Indices of Music Processing: Nonmusicians are Musical , 2000, Journal of Cognitive Neuroscience.
[110] S. Koelsch. Brain and Music: A contribution to the investigation of central auditory processing with a new electrophysiological approach , 2000 .
[111] Barbara Tillmann,et al. Implicit Learning of Regularities in Western Tonal Music by Self-Organization , 2000, NCPW.
[112] B. Tillmann,et al. Implicit learning of tonality: a self-organizing approach. , 2000, Psychological review.
[113] C. Krumhansl,et al. Melodic Expectation in Finnish Spiritual Folk Hymns: Convergence of Statistical, Behavioral, and Computational Approaches , 1999 .
[114] Claude Alain,et al. Global and local processing of musical sequences: an event-related brain potential study. , 1999, Neuroreport.
[115] Chris Mellish,et al. Statistical Learning of Harmonic Movement , 1999 .
[116] Nick Chater,et al. Toward a connectionist model of recursion in human linguistic performance , 1999, Cogn. Sci..
[117] B. Tillmann,et al. Effect of global structure and temporal organization on chord processing , 1999 .
[118] E. Narmour. Hierarchical Expectation and Musical Style , 1999 .
[119] Jamshed J. Bharucha,et al. Neural Nets, Temporal Composites, and Tonality , 1999 .
[120] P. Todd,et al. Musical networks: Parallel distributed perception and performance , 1999 .
[121] Daniel Dominic Sleator,et al. Modeling Meter and Harmony: A Preference-Rule Approach , 1999, Computer Music Journal.
[122] Aniruddh D. Patel,et al. Processing Syntactic Relations in Language and Music: An Event-Related Potential Study , 1998, Journal of Cognitive Neuroscience.
[123] A. Vinter,et al. PARSER: A Model for Word Segmentation , 1998 .
[124] J. Bharucha,et al. Implicit knowledge versus psychoacoustic similarity in priming of chords , 1998 .
[125] Daniel Lehmann,et al. Tuning a Neural Network for Harmonizing Melodies in Real-Time , 1998, ICMC.
[126] C. Stevens,et al. Music Recognition: An Illustrative Application of a Connectionist Model , 1997 .
[127] E. Schellenberg,et al. Simplifying the Implication-Realization Model of Melodic Expectancy , 1997 .
[128] Marc Leman,et al. Music, Gestalt, and Computing - Studies in Cognitive and Systematic Musicology , 1997 .
[129] E. Bigand,et al. Global context effects on musical expectancy , 1997, Perception & psychophysics.
[130] Marc Leman,et al. Music, Gestalt, and Computing , 1997, Lecture Notes in Computer Science.
[131] Petri Toiviainen,et al. Optimizing auditory images and distance metrics for self‐organizing timbre maps* , 1996 .
[132] D. Dennett. Kinds Of Minds , 1996 .
[133] L. Cuddy,et al. Expectancies generated by melodic intervals: Perceptual judgments of melodic continuity , 1995, Perception & psychophysics.
[134] Ian H. Witten,et al. Multiple viewpoint systems for music prediction , 1995 .
[135] Ian H. Witten,et al. Comparing human and computational models of music prediction , 1994 .
[136] Michael C. Mozer,et al. Neural Network Music Composition by Prediction: Exploring the Benefits of Psychoacoustic Constraints and Multi-scale Processing , 1994, Connect. Sci..
[137] John F. Kolen,et al. Resonance and the Perception of Musical Meter , 1994, Connect. Sci..
[138] Axel Cleeremans,et al. Mechanisms of Implicit Learning: Connectionist Models of Sequence Processing , 1993 .
[139] Mark L. James,et al. On the Entropy of Music: An Experiment with Bach Chorale Melodies , 1992 .
[140] W F Thompson,et al. Asymmetry of perceived key movement in chorale sequences: Converging evidence from a probe-tone analysis , 1992, Psychological research.
[141] Ray Jackendoff,et al. Musical Parsing and Musical Affect , 1991 .
[142] Ian H. Witten,et al. The zero-frequency problem: Estimating the probabilities of novel events in adaptive text compression , 1991, IEEE Trans. Inf. Theory.
[143] Julius O. Smith,et al. J.O. Smith III Comments on Sullivan Karplus-Strong Article , 1991 .
[144] C. Krumhansl. Cognitive Foundations of Musical Pitch , 1991 .
[145] Eugene Narmour,et al. The Analysis and Cognition of Basic Melodic Structures: The Implication-Realization Model , 1990 .
[146] John R. Anderson,et al. Learning Artificial Grammars With Competitive Chunking , 1990 .
[147] Jeffrey L. Elman,et al. Finding Structure in Time , 1990, Cogn. Sci..
[148] Pierre Perruchet,et al. Synthetic Grammar Learning : Implicit Rule Abstraction or Explicit Fragmentary Knowledge ? Pierre Perruchet and Chantal Pacteau , 1990 .
[149] Charles Ames,et al. The Markov Process as a Compositional Model: A Survey and Tutorial , 2017 .
[150] M. Schmuckler. Expectation in music: Investigation of melodic and harmonic processes. , 1989 .
[151] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[152] Peter M. Todd,et al. Modeling the Perception of Tonal Structure with Neural Nets , 1989 .
[153] Charles Ames,et al. Automated Composition in Retrospect: 1956–1986 , 2017 .
[154] J. Bharucha,et al. Priming of chords: Spreading activation or overlapping frequency spectra? , 1987, Perception & psychophysics.
[155] J. Bharucha,et al. Reaction time and musical expectancy: priming of chords. , 1986, Journal of experimental psychology. Human perception and performance.
[156] Siegmund Levarie,et al. A theory of harmony , 1985 .
[157] Mark Steedman,et al. A Generative Grammar for Jazz Chord Sequences , 1984 .
[158] Robert B. Cantrick,et al. A Generative Theory of Tonal Music , 1985 .
[159] C. Krumhansl,et al. The representation of harmonic structure in music: Hierarchies of stability as a function of context , 1983, Cognition.
[160] C. Krumhansl,et al. Tracing the dynamic changes in perceived tonal organization in a spatial representation of musical keys. , 1982, Psychological review.
[161] F. Keil,et al. Acquisition of the hierarchy of tonal functions in music , 1982, Memory & cognition.
[162] J J Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.
[163] C. Krumhansl,et al. Key distance effects on perceived harmonic structure in music , 1982, Perception & psychophysics.
[164] C. Krumhansl. The psychological representation of musical pitch in a tonal context , 1979, Cognitive Psychology.
[165] W. Dowling. Scale and contour: Two components of a theory of memory for melodies. , 1978 .
[166] J. H. Neely. Semantic priming and retrieval from lexical memory: Evidence for facilitatory and inhibitory processes , 1976, Memory & cognition.
[167] Ramon Fuller. Structure and Information in Webern's Symphonie, Op. 21 , 1967 .
[168] C. Bean. Information Theory Analyses of Four Sonata Expositions , 1966 .
[169] J. Youngblood. Style as Information , 1958 .
[170] Richard C. Pinkerton. Information theory and melody. , 1956 .
[171] M. Jones,et al. African Rhythm , 1954, Africa.
[172] Heinrich Schenker,et al. Neue musikalische Theorien und Phantasien , 1906 .