Announcement of Connection Science issue on Music and Creativity (Dan Ellis )

Subject: Announcement of Connection Science issue on Music and Creativity
From:    Dan Ellis  <dpwe(at)MEDIA.MIT.EDU>
Date:    Tue, 21 Feb 1995 09:18:11 -0500

Dear List - Niall Griffith sent me the following announcement of a very interesting- sounding issue of Connection Science. -- DAn Ellis <dpwe(at)> MIT Media Lab Perceptual Computing - Machine Listening group. ------- Forwarded Message From: ngr(at) Date: Fri, 17 Feb 95 19:20:24 GMT Subject: Posting Request [...] Special Issue of Connection Science on Music and Creativity ----------------------------------------------------------- We thought people would like to know that a new collection of work on connectionist models of musical cognition and artistic creativity has appeared in print this month. The collection is a double issue of the journal Connection Science, volume 6, nos. 2&3, covering aspects of musical perception, conception, and action, and the generation of visual art. Some of the papers in this double issue are very interesting from a computational point of view as well, beyond their specific application domain. We hope you enjoy the issue and find it useful, and we welcome your comments and updates about further work in this area for future collections such as this. Niall Griffith and Peter Todd (Please note: Single copies of this double issue are available. A book version of this double issue is also planned for the near future.) --------------------------------------------------------------------- Niall Griffith, Department of Computer Science, University of Exeter, Prince of Wales Road, Exeter, EX4 4PT UK Email: ngr(at) Peter Todd Department of Psychology University of Denver 2155 S. Race Street Denver, CO 80208 USA Email: ptodd(at)edu.du.psy --------------------------------------------------------------------- Contents of Connection Science 6(2-3), 1994: 0. Niall Griffith & Peter Todd ----------------------------- Editorial: Process and representation in connectionist models of musical structure 1. Ian Taylor & Mike Greenhough ---------------------------- Modelling pitch perception with adaptive resonance theory artificial networks 2. Niall Griffith -------------- Developing tonal centres and abstract pitch as categorisations of pitch-use 3. Edward Large & John Kolen ------------------------- Resonance and the perception of musical meter 4. Steven Smoliar -------------- Modelling musical perception: A critical view 5. Michael Page ------------ Modelling the perception of musical sequences with self-organizing neural networks 6. Michael Mozer ------------- Neural network music composition by prediction: Exploring the benefits of psychoacoustic constraints and multiscale processing 7. Matthew Bellgard & C. Tsang --------------------------- Harmonizing music the Boltzmann way 8. Bruce Katz ---------- An ear for melody 9. Shumeet Baluja, Dean Pomerleau & Todd Jochem -------------------------------------------- Towards automated artificial evolution for computer generated images 10. Michael Casey ------------- Understanding musical sound with forward models and physical models ------- End of Forwarded Message

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