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Title Musical networks : parallel distributed perception and performance / edited by Niall Griffith and Peter M. Todd.
Imprint Cambridge, Mass. : MIT Press, [1999]

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Series A Bradford Book Ser.
Bradford Book Ser.
Subject Musical perception.
Alt Name Griffith, Niall.
Todd, Peter M.
Description 1 online resource (xv, 385 pages) : illustrations.
polychrome rdacc
Note "A Bradford book."
Bibliography Note Includes bibliographical references (pages 373-382).
Contents Modelling pitch perception with adaptive resonance theory artificial neural networks / Ian Taylor & Mike Greenhough -- Development of tonal centres and abstract pitch as categorizations of pitch use / Niall Griffith -- Understanding musical sound with forward models and physical models / Michael A. Casey -- Resonance and the perception of musical meter / Edward W. Large & John F. Kolen -- Modelling musical perception : a critical view / Stephen W. Smoliar -- Reply to S.W. Smoliar's 'Modelling Musical Perception : A Critical View' / Peter Desain & Henkjan Honing -- Pitch-based streaming in auditory perception / Stephen Grossberg -- Apparent motion in music? / Robert O. Gjerdingen -- Modelling the perception of musical sequences with self-organizing neural networks / Michael P.A. Page -- Ear for melody / Bruce F. Katz -- Neural network music composition by prediction : exploring the benefits of psychoacoustic contraints and multi-scale processing / Michael C. Mozer -- Harmonizing music the Boltzmann way / Matthew I. Bellgard & C.P. Tsang -- Reduced memory representations for music / Edward W. Large, Caroline Palmer & Jordan B. Pollack -- Frankensteinian methods for evolutionary music composition / Peter M. Todd & Gregory M. Werner -- Towards automated artificial evolution for computer-generated images / Shumeet Baluja, Dean Pomerleau & Todd Jochem -- Connectionist air guitar : a dream come true / Garrison W. Cottrell.
Note Print version record.
Summary "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."--Jacket.
Note English.
Access Access restricted to York University faculty, staff and students.
ISBN 0585133204 (electronic bk.)
9780585133201 (electronic bk.)
9780262274319 (electronic bk.)
0262274310 (electronic bk.)
9780262071819 (hardcover alk. paper)
0262071819 (hardcover alk. paper)
OCLC # 44965713
Additional Format Print version: Musical networks. Cambridge, Mass. : MIT Press, ©1999 0262071819 (DLC) 98025671 (OCoLC)39195458.
Table of Contents
 Preface / Niall Griffith, Peter M. Todd 
Pt. IPitch and Tonality 
  Modelling Pitch Perception with Adaptive Resonance Theory Artificial Neural Networks / Ian Taylor, Mike Greenhough3
  Development of Tonal Centres and Abstract Pitch as Categorizations of Pitch Use / Niall Griffith23
  Understanding Musical Sound with Forward Models and Physical Models / Michael A. Casey45
Pt. IIRhythm and Meter 
  Resonance and the Perception of Musical Meter / Edward W. Large, John F. Kolen65
  Modelling Musical Perception: A Critical View / Stephen W. Smoliar97
  A Reply to S. W. Smoliar's 'Modelling Musical Perception: A Critical View' / Peter Desain, Henkjan Honing111
Pt. IIIMelodic Memory, Structure, and Completion 
  Pitch-based Streaming in Auditory Perception / Stephen Grossberg117
  Apparent Motion in Music? / Robert O. Gjerdingen141
  Modelling the Perception of Musical Sequences with Self-organizing Neural Networks / Michael P. A. Page175
  An Ear for Melody / Bruce F. Katz199
Pt. IVComposition 
  Neural Network Music Composition by Prediction: Exploring the Benefits of Psychoacoustic Constraints and Multi-scale Processing / Michael C. Mozer227
  Harmonizing Music the Boltzmann Way / Matthew I. Bellgard, C. P. Tsang261
  Reduced Memory Representations for Music / Edward W. Large, Caroline Palmer, Jordan B. Pollack279
  Frankensteinian Methods for Evolutionary Music Composition / Peter M. Todd, Gregory M. Werner313
  Towards Automated Artificial Evolution for Computer-generated Images / Shumeet Baluja, Dean Pomerleau, Todd Jochem341
  The Connectionist Air Guitar: A Dream Come True / Garrison W. Cottrell371
 List of Contributors383

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