000 04706cam a2200481 i 4500
001 on1030840415
003 OCoLC
005 20240726105059.0
008 191227s2018 abc ob s001 0 eng
010 _a2019394420
040 _aDLC
_beng
_erda
_epn
_cDLC
_dNT
_dEBLCP
_dOCLCF
_dUWO
_dYDX
_dNLC
_dMERUC
_dIDB
_dUAB
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_dUKAHL
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016 _a(AMICUS)000045280213
016 _z20179078674 (print)
020 _a9781771992206
042 _apcc
050 0 0 _aML3830
_b.C666 2018
049 _aMAIN
100 1 _aDawson, Michael Robert William,
_d1959-,
_e1
245 1 0 _aConnectionist representations of tonal music :
_bdiscovering musical patterns by interpreting artificial neural networks /
_cMichael R.W. Dawson.
260 _aEdmonton, AB :
_bAU Press,
_c(c)2018.
300 _a1 online resource (xv, 295 pages)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _adata file
_2rda
500 _aIssued in print and electronic formats.
504 _a2
505 0 0 _aCover; Half Title; Title; Copyright; Contents; List of Figures; List of Tables; Acknowledgements; Overture: Alien Music; Chapter 1: Science, Music, and Cognitivism; 1.1 Mechanical Philosophy, Mathematics, and Music; 1.2 Mechanical Philosophy and Tuning; 1.3 Psychophysics of Music; 1.4 From Rationalism to Classical Cognitive Science; 1.5 Musical Cognitivism; 1.6 Summary; Chapter 2: Artificial Neural Networks and Music; 2.1 Some Connectionist Basics; 2.2 Romanticism and Connectionism; 2.3 Against Connectionist Romanticism; 2.4 The Value Unit Architecture; 2.5 Summary and Implications.
505 0 0 _aChapter 3: The Scale Tonic Perceptron3.1 Pitch-Class Representations of Scales; 3.2 Identifying the Tonics of Musical Scales; 3.3 Interpreting the Scale Tonic Perceptron; 3.4 Summary and Implications; Chapter 4: The Scale Mode Network; 4.1 The Multilayer Perceptron; 4.2 Identifying Scale Mode; 4.3 Interpreting the Scale Mode Network; 4.4 Tritone Imbalance and Key Mode; 4.5 Further Network Analysis; 4.6 Summary and Implications; Chapter 5: Networks for Key-Finding; 5.1 Key-Finding; 5.2 Key-Finding with Multilayered Perceptrons; 5.3 Interpreting the Network; 5.4 Coarse Codes for Key-Finding.
505 0 0 _a5.5 Key-Finding with Perceptrons5.6 Network Interpretation; 5.7 Summary and Implications; Chapter 6: Classifying Chords with Strange Circles; 6.1 Four Types of Triads; 6.2 Triad Classification Networks; 6.3 Interval Cycles and Strange Circles; 6.4 Added Note Tetrachords; 6.5 Classifying Tetrachords; 6.6 Interpreting the Tetrachord Network; 6.7 Summary and Implications; Chapter 7: Classifying Extended Tetrachords; 7.1 Extended Tetrachords; 7.2 Classifying Extended Tetrachords; 7.3 Interpreting the Extended Tetrachord Network; 7.4 Bands and Coarse Coding; 7.5 Summary and Implications.
505 0 0 _aChapter 8: Jazz Progression Networks8.1 The ii-V-I Progression; 8.2 The Importance of Encodings; 8.3 Four Encodings of the ii-V-I Problem; 8.4 Complexity, Encoding, and Training Time; 8.5 Interpreting a Pitch-class Perceptron; 8.6 The Coltrane Changes; 8.7 Learning the Coltrane Changes; 8.8 Interpreting a Coltrane Perceptron; 8.9 Strange Circles and Coltrane Changes; 8.10 Summary and Implications; Chapter 9: Connectionist Reflections; 9.1 A Less Romantic Connectionism; 9.2 Synthetic Psychology of Music; 9.3 Musical Implications; 9.4 Implications for Musical Cognition; 9.5 Future Directions.
520 0 _aIntended to introduce readers to the use of artificial neural networks in the study of music, this volume contains numerous case studies and research findings that address problems related to identifying scales, keys, classifying musical chords, and learning jazz chord progressions. A detailed analysis of networks is provided for each case study which together demonstrate that focusing on the internal structure of trained networks could yield important contributions to the field of music cognition.
530 _a2
_ub
650 0 _aMusic
_xPsychological aspects
_vCase studies.
650 0 _aMusic
_xPhysiological aspects
_vCase studies.
650 0 _aMusic
_xPhilosophy and aesthetics
_vCase studies.
650 0 _aNeural networks (Computer science)
_vCase studies.
655 1 _aElectronic Books.
856 4 0 _uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1775041&site=eds-live&custid=s3260518
_zClick to access digital title | log in using your CIU ID number and my.ciu.edu password
942 _cOB
_D
_eEB
_hML
_m2018
_QOL
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994 _a92
_bNT
999 _c88297
_d88297
902 _a1
_bCynthia Snell
_c1
_dCynthia Snell