Musical Networks: Parallel Distributed Perception and Performance

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Niall Griffith, Peter M.. Todd, Peter M. Todd, Research Scientist Peter M Todd
MIT Press, 1999 - Computers - 385 pages
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This volume presents the most up-to-date collection of neural network models of music and creativity gathered together in one place. Chapters by leaders in the field cover new connectionist models of pitch perception, tonality, musical streaming, sequential and hierarchical melodic structure, composition, harmonization, rhythmic analysis, sound generation, and creative evolution. The collection combines journal papers on connectionist modeling, cognitive science, and music perception with new papers solicited for this volume. It also contains an extensive bibliography of related work.

Contributors: Shumeet Baluja, M. I. Bellgard, Michael A. Casey, Garrison W. Cottrell, Peter Desain, Robert O. Gjerdingen, Mike Greenhough, Niall Griffith, Stephen Grossberg, Henkjan Honing, Todd Jochem, Bruce F. Katz, John F. Kolen, Edward W. Large, Michael C. Mozer, Michael P. A. Page, Caroline Palmer, Jordan B. Pollack, Dean Pomerleau, Stephen W. Smoliar, Ian Taylor, Peter M. Todd, C. P. Tsang, Gregory M. Werner.

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Development of Tonal Centres and Abstract Pitch as Categorizations
Understanding Musical Sound with Forward Models and Physical
Resonance and the Perception of Musical Meter
A Critical View
A Critical
Apparent Motion in Music?
Modelling the Perception of Musical Sequences with Selforganizing
An Ear for Melody
Exploring the Benefits
Harmonizing Music the Boltzmann Way
Reduced Memory Representations for Music
Frankensteinian Methods for Evolutionary Music Composition
Towards Automated Artificial Evolution for Computergenerated
A Dream Come True

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About the author (1999)

Eli Berman is Professor of Economics at the University of California, San Diego, and Research Director of International Security Studies at the University of California Institute on Global Conflict and Cooperation.

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