As one of our highest expressions of thought and creativity, music has always been adifficult realm to capture, model, and understand. The connectionist paradigm, now beginning toprovide insights into many realms of human behavior, offers a new and unified viewpoint from whichto investigate the subtleties of musical experience. Music and Connectionism provides a freshapproach to both fields, using the techniques of connectionism and parallel distributed processingto look at a wide range of topics in music research, from pitch perception to chord fingering tocomposition.The contributors, leading researchers in both music psychology and neural networks,address the challenges and opportunities of musical applications of network models. The result is acurrent and thorough survey of the field that advances understanding of musical phenomenaencompassing perception, cognition, composition, and performance, and in methods for network designand analysis.Peter M. Todd is a doctoral candidate in the PDP Research Group of the PsychologyDepartment at Stanford University. Gareth Loy is an award-winning composer, a lecturer in the MusicDepartment of the University of California, San Diego, and a member of the technical staff of FroxInc.Contributors. Jamshed J. Bharucha. Peter Desain. Mark Dolson. Robert Gjerclingen. HenkjanHoning. B. Keith Jenkins. Jacqueline Jons. Douglas H. Keefe. Tuevo Kohonen. Bernice Laden. PauliLaine. Otto Laske. Marc Leman. J. P. Lewis. Christoph Lischka. D. Gareth Loy. Ben Miller. MichaelMozer. Samir I. Sayegh. Hajime Sano. Todd Soukup. Don Scarborough. Kalev Tiits. Peter M. Todd. KariTorkkola.
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Peter M. Todd is Professor of Informatics, Cognitive Science, and Psychology at Indiana University.
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