LEADER 02287nam 2200457 450 001 9910346035703321 005 20211222033919.0 010 $a1-77199-221-2 035 $a(CKB)4340000000262103 035 $a(MiAaPQ)EBC5330831 035 $a(VaAlCD)20.500.12592/tjmnc9 035 $a(PPN)24283504X 035 $a(EXLCZ)994340000000262103 100 $a20180425d2018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aConnectionist representations of tonal music $ediscovering musical patterns by interpreting artificial neural networks /$fMichael R.W. Dawson 210 1$aEdmonton, Alberta :$cAU Press,$d[2018] 210 4$dİ2018 215 $a1 online resource (312 pages) 311 $a1-77199-220-4 327 $aOverture : Alien Music -- Science, Music, and Cognitivism -- Artificial Neural Networks and Music -- The Scale Tonic Perceptron -- The Scale Mode Network -- Networks for Key-Finding -- Classifying Chords with Strange Circles -- Classifying Extended Tetrachords -- Jazz Progression Networks -- Connectionist Reflections. 330 $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. 606 $aMusic$xPsychological aspects$vCase studies 606 $aMusic$xPhysiological aspects$vCase studies 606 $aMusic$xPhilosophy and aesthetics$vCase studies 615 0$aMusic$xPsychological aspects 615 0$aMusic$xPhysiological aspects 615 0$aMusic$xPhilosophy and aesthetics 676 $a781.11 700 $aDawson$b Michael Robert William$f1959-$0900153 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910346035703321 996 $aConnectionist representations of tonal music$92124510 997 $aUNINA