Special Issue of Connection Science

[ngr@atlas.ex.ac.uk]

Pleas could you distribute the following outline of the current
special issue of Connection Science. 
Thanks
Niall Griffith.
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Special Issue of Connection Science on Music and Creativity
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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, at a cost of
$93.50. A book version of this double issue is also planned for the
near future.)

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Niall Griffith,
Department of Computer Science,
University of Exeter,
Prince of Wales Road,
Exeter, EX4 4PT  UK
Email: ngr at dcs.exeter.ac.uk

Peter Todd
Department of Psychology
University of Denver
2155 S. Race Street
Denver, CO  80208  USA
Email: ptodd at edu.du.psy

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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