Music and Connectionism

Music and Connectionism provides a fresh approach to both fields, using the techniques of connectionism and parallel distributed processing to look at a wide range of topics in music research, from pitch perception to chord fingering to composition.

As one of our highest expressions of thought and creativity, music has always been a difficult realm to capture, model, and understand. The connectionist paradigm, now beginning to provide insights into many realms of human behavior, offers a new and unified viewpoint from which to investigate the subtleties of musical experience. Music and Connectionism provides a fresh approach to both fields, using the techniques of connectionism and parallel distributed processing to look at a wide range of topics in music research, from pitch perception to chord fingering to composition. 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 a current and thorough survey of the field that advances understanding of musical phenomena encompassing perception, cognition, composition, and performance, and in methods for network design and analysis.

Contributors Jamshed J. Bharucha, Peter Desain, Mark Dolson, Robert Gjerclingen, Henkjan Honing, B. Keith Jenkins, Jacqueline Jons, Douglas H. Keefe, Tuevo Kohonen, Bernice Laden, Pauli Laine, Otto Laske, Marc Leman, J. P. Lewis, Christoph Lischka, D. Gareth Loy, Ben Miller, Michael Mozer, Samir I. Sayegh, Hajime Sano, Todd Soukup, Don Scarborough, Kalev Tiits, Peter M. Todd, Kari Torkkola