Kat Agres

Musical learning and memory: A multi-method approach (8/02/11)

This talk will offer a brief overview of behavioral, computational, and EEG research undertaken to examine the processes underlying musical learning and memory. A discussion of behavioral studies employing a change detection paradigm will provide evidence that memory for novel music is largely gist-like and schematic. Building upon this foundation, the process of musical learning will be explored through a set of computational studies. This work examines the internal structure of a Simple Recurrent Network as it is trained on a musical corpus. And finally, electroencephalography (EEG) studies will provide an account of changes in neural activity as novel music is learned over a period of increasing exposure. Pilot data will focus on event-related potentials (ERPs) and time-frequency analysis of brain response to folk tunes varying in musical structure. Future directions will be discussed in a lively manner.

Department of Computing, Goldsmiths College, University of London, New Cross, London, SE14 6NW

Tel: +44 (0) 20 7919 7850 | Fax: +44 (0) 20 7919 7853 | Email: computing@gold.ac.uk