Announcement of Connection Science issue on Music and Creativity

[Dan Ellis <dpwe@xxxxxxxxxxxxx>]

Dear List -

Niall Griffith sent me the following announcement of a very interesting-
sounding issue of Connection Science.

--  DAn Ellis <dpwe@media.mit.edu>
    MIT Media Lab Perceptual Computing - Machine Listening group.

------- Forwarded Message
From: ngr@dcs.exeter.ac.uk
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@dcs.exeter.ac.uk

Peter Todd
Department of Psychology
University of Denver
2155 S. Race Street
Denver, CO  80208  USA
Email: ptodd@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