Contents
Chapter 1: Science, Music, and Cognitivism
1.1 Mechanical Philosophy, Mathematics, and Music
1.2 Mechanical Philosophy and Tuning
1.4 From Rationalism to Classical Cognitive Science
Chapter 2: Artificial Neural Networks and Music
2.2 Romanticism and Connectionism
2.3 Against Connectionist Romanticism
2.4 The Value Unit Architecture
Chapter 3: The Scale Tonic Perceptron
3.1 Pitch-Class Representations of Scales
3.2 Identifying the Tonics of Musical Scales
3.3 Interpreting the Scale Tonic Perceptron
Chapter 4: The Scale Mode Network
4.3 Interpreting the Scale Mode Network
4.4 Tritone Imbalance and Key Mode
Chapter 5: Networks for Key-Finding
5.2 Key-Finding with Multilayered Perceptrons
5.4 Coarse Codes for Key-Finding
5.5 Key-Finding with Perceptrons
Chapter 6: Classifying Chords with Strange Circles
6.2 Triad Classification Networks
6.3 Interval Cycles and Strange Circles
6.6 Interpreting the Tetrachord Network
Chapter 7: Classifying Extended Tetrachords
7.2 Classifying Extended Tetrachords
7.3 Interpreting the Extended Tetrachord Network
Chapter 8: Jazz Progression Networks
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
8.7 Learning the Coltrane Changes
8.8 Interpreting a Coltrane Perceptron
8.9 Strange Circles and Coltrane Changes
Chapter 9: Connectionist Reflections
9.1 A Less Romantic Connectionism
9.2 Synthetic Psychology 0f Music