Special Issue "Music, Brain, & Cognition" of Connection Science Available

[Hendrik Purwins <hendrik.purwins@xxxxxxx>]

Dear Collegues,

we would like to announce the Connnection Science Special Issue "Music, 
Brain, & Cognition" Vol. 21 (2-3):
http://prod.informaworld.com/smpp/title~content=t713411269~db=all

This special issue aims to shed light on some of the key issues in 
current and future music research and technology.
In the 90th, cognitive Musicology was envisaged to be composed from 
diverse disciplines such as brain research and
artificial intelligence striving for a more scientific understanding of 
the phenomenon of music. One and a half
decades following the special issue on Music and Creativity in 
Connection Science, edited by Griffith and Todd (1994),
this issue, again, demonstrates how the horizons in the field have 
continued to expand.


Research activity in auditory neuroscience, applied to music in 
particular, is catching up with the scientific advances in
vision research. The fast advancement of brain imaging methodology such 
as the electroencephalogram has further
encouraged music research. Brain imaging grants access to music-related 
brain processes directly rather than circuitously
via psychological experiments and verbal feedback by the subjects.   
Adaptability is an important topic on the agenda of
roadmaps  for the development of music technology. Adaptability helps 
transferring knowledge to new situations, users,
or music styles. In music information retrieval, solutions have been 
developed to solve specialized tasks. But would such
a system be useful to identify new styles or new musical concepts?  How 
is  the perception of a musical event influenced
by the context of previous musical development and high-level structure? 
The general success of Bayesian networks
inspired cognitive science as well, developing models of concept 
learning, inference, and surprise.  Bayesian networks
have proven to be an approach well suited to address some of the most 
vital phenomena in music, such as beat, expectation,
attention, tension, interestingness,  and surprise.

We would like to thank the special editorial board, consisting of Klaus 
Obermayer, Eduardo Reck Miranda, Xavier
Serra, and John Shawe-Taylor. We owe a great thanks to the 48 highly 
competent reviewers
that have provided elaborated reviews often of original scientific value 
of their own.

Best,
David Hardoon and Hendrik Purwins

CONTENT:

*Editorial: Trends and perspectives in music cognition research and 
technology
(Hendrik Purwins; David R. Hardoon)

*Information dynamics: patterns of expectation and surprise in the 
perception of music
(Samer Abdallah; Mark Plumbley)

*What/when causal expectation modelling applied to audio signals (Amaury 
Hazan;  Ricard Marxer;  Paul Brossier; 
 Hendrik Purwins;  Perfecto Herrera; Xavier Serra)

*Genre classification using chords and stochastic language models
(Carlos Pérez-Sancho;  David Rizo; José M. Iñesta)

*GLM and SVM analyses of neural response to tonal and atonal stimuli: 
new techniques and a comparison
(Simon Durrant;  David R. Hardoon;  André Brechmann;  John 
Shawe-Taylor;  Eduardo R. Miranda; Henning Scheich)

*From frequency to pitch, and from pitch class to musical key: shared 
principles of learning and perception
(Jamshed J. Bharucha)

*Model cortical responses for the detection of perceptual onsets and 
beat tracking in singing  (Martin Coath; 
Susan L. Denham; Leigh M. Smith;  Henkjan Honing;  Amaury Hazan;  Piotr 
Holonowicz; Hendrik Purwins)

*Analysing musical performance through functional data analysis: 
rhythmic structure in Schumann's Träumerei
 (Josué Almansa; Pedro Delicado)

*Exploiting functional relationships in musical composition (Amy K. 
Hoover; Kenneth O. Stanley)

*Predictive models for music (Jean-François Paiement;  Yves Grandvalet; 
Samy Bengio)

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Dr. Hendrik Purwins                  Senior Researcher
Music Technology Group                   UPF Barcelona
Neural Information Processing Group          TU Berlin
mail: hendrik.purwins_AT_iua_DOT_upf_DOT_edu
web: http://www.mtg.upf.es/people/hpurwins
======================================================