The dynamics of music perception and emotional experience: a connectionist model. Coutinho, E. & Cangelosi, A. In Baroni, M., Addessi, A., R., Caterina, R., & Costa, M., editors, 9th International Conference on Music Perception and Cognition, pages 1096-1104, 2006.
abstract   bibtex   
In this paper we present a methodological framework for the study of musical emotions, incorporating psycho- physiological experiments and modelling techniques for data analysis. Our focus is restricted to the body implica- tions as a possible source of information about the emo- tional experience, and responsible to certain levels of emo- tional engagement in music. We present and apply the use of spatiotemporal connectionist models, as a modelling technique. Simulation results using a simple recurrent net- work, demonstrate that our connectionist approach leads to a better fit of the simulated process, compared with pre- vious models. We demonstrate that a spatiotemporal con- nectionist model trained on music and emotional rating data is capable of generalizing the level of arousal in re- sponse to novel music input. The model is also capable of identifying the main variables responsible for such an emo- tional rating behaviour.
@inproceedings{
 title = {The dynamics of music perception and emotional experience: a connectionist model},
 type = {inproceedings},
 year = {2006},
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 pages = {1096-1104},
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 abstract = {In this paper we present a methodological framework for the study of musical emotions, incorporating psycho- physiological experiments and modelling techniques for data analysis. Our focus is restricted to the body implica- tions as a possible source of information about the emo- tional experience, and responsible to certain levels of emo- tional engagement in music. We present and apply the use of spatiotemporal connectionist models, as a modelling technique. Simulation results using a simple recurrent net- work, demonstrate that our connectionist approach leads to a better fit of the simulated process, compared with pre- vious models. We demonstrate that a spatiotemporal con- nectionist model trained on music and emotional rating data is capable of generalizing the level of arousal in re- sponse to novel music input. The model is also capable of identifying the main variables responsible for such an emo- tional rating behaviour.},
 bibtype = {inproceedings},
 author = {Coutinho, Eduardo and Cangelosi, Angelo},
 editor = {Baroni, M and Addessi, A R and Caterina, R and Costa, M},
 booktitle = {9th International Conference on Music Perception and Cognition}
}

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