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** The Music and Science list is managed by the Institute of Musical Research (www.music.sas.ac.uk) as a bulletin board and discussion forum for researchers working at the shared boundaries of science and music. **

MESSAGE FOLLOWS:



Dear All,

Next Wednesday, 7th December at 3:00pm, Marcus Pearce will present the 
seminar 'Information and Neural Dynamics in the Perception of Musical 
Structure'.

The talk will take place in room 207 in the Electronic Engineering 
building, Queen Mary University of London, Mile End Road, London E1 4NS. 
Directions on how to access the building can be found at
http://www.eecs.qmul.ac.uk/about/campus-map.php. If you experience 
problems entering, the lab phone number is +44 (0)20 7882 5343 and if I am 
not available, anyone else in the lab should be able to help. If
you are coming from outside Queen Mary, please let me know, so I can make 
sure no-one is stuck outside the doors. Details of future seminars can be 
found at
http://www.eecs.qmul.ac.uk/newsevents/researchgroupevents.php?i=12.

All are welcome to attend. For those unable to do so, a video recording of 
the seminar will be made available online after a few days.

If you wish to be added to / removed from our mailing list, please send me 
an email and I'll be happy to do so.


Wednesday's seminar (7th December, 3:00pm):

Title:

Information and Neural Dynamics in the Perception of Musical Structure

Speaker:

Marcus Pearce

Abstract:

Leonard Meyer (1956) distinguished designative meanings, whereby musical 
structures refer to externally to non-musical events, from embodied 
meanings, where musical events refer, through psychological processes of 
implication or expectation, to other musical events. Meyer argued that 
embodied meanings are capable of producing affective states in the 
listener. Our goal is to understand the psychological processes involved 
in generating these embodied meanings using dynamic probabilistic models 
of expectation in cognitive and neural information processing of musical 
structure. We have developed dynamic probabilistic models of melodic 
prediction that use variable-order contexts, long- and short-term musical 
structure and combine information from multiple musical features in 
predicting note attributes such as pitch, onset time and duration. We have 
also developed a novel information-dynamic model based on the concept of 
predictive information rate, which measures how much information is gained 
by current observations about the future, but which is not already known 
from past observations. We use our information-dynamic models to make 
predictions about listeners' responses to music, which can then be tested 
empirically. We have shown, for example, that information-dynamic measures 
of surprise predict listeners' pitch expectations well. Notes whose 
pitches are improbable given the preceding context are perceived as 
unexpected and vice versa. These results generalise across a range of 
melodic contexts including single intervals, English folks songs, chorale 
melodies and English hymns and predict listeners' expectations better than 
existing rule-based models. Using EEG to investigate dynamic aspects of 
the neural mechanisms involved in musical expectation, we have shown that 
unexpected notes are associated with characteristic patterns of beta band 
activation and phase-locking at centro-parietal scalp locations. We have 
also used the information-dynamic models to predict other aspects of 
musical perception such as phrase segmentation. We hypothesise that 
grouping boundaries in music correspond to points where the context fails 
to inform the listener about the identity of the next musical event. This 
might happen when an unexpected (low probability) event arrives or because 
the listener is simply uncertain about what will happen next (high 
entropy). We have produced evidence to support this hypothesis both at the 
level of phrase boundaries and of high-level form. This work suggests a 
relationship between dynamic changes in perceptual expectations and the 
cognitive representation of musical structure.

Bio:

Educated in experimental psychology and artificial intelligence at Oxford 
and Edinburgh, Marcus Pearce received his PhD from City University, London 
in 2005, before continuing his research on music cognition at Goldsmiths, 
University of London. Following a year as a post-doctoral fellow working 
on neuroaesthetics in the Wellcome Laboratory of Neurobiology at 
University College London, he returned to Goldsmiths as a co-investigator 
on a EPSRC-funded project investigating information and neural dynamics in 
the perception of musical structure (http://www.idyom.org). He is 
currently lecturer in sound and music processing in the Centre for Digital 
Music at Queen Mary, University of London. He has published widely on 
computational, psychological and neuroscientific aspects of music 
cognition, in particular on perceptual expectations and auditory grouping 
in music perception and production.



Future C4DM seminars:

Geraint Wiggins - QMUL
Wed 25th January 2012
(Seminar details tbc)



C4DM Website : http://www.elec.qmul.ac.uk/digitalmusic/index.html



--
Peter Foster
Postgraduate Research Student
Room 104, Electronic Engineering Bldg
Centre for Digital Music
Queen Mary, University of London
Mile End Road, London E1 4NS, UK
email: [log in to unmask]