Neurodynamical Top-Down Processing during Auditory Attention

This source preferred by Hamid Bouchachia and Emili Balaguer-Ballester

Authors: Balaguer-Ballester E., Bouchachia, H, Jiang, B. and Denham, SL

Volume: Vol. 7664,

Publisher: Springer, In press.

This data was imported from DBLP:

Authors: Balaguer-Ballester, E., Bouchachia, A., Jiang, B. and Denham, S.L.

Editors: Huang, T., Zeng, Z., Li, C. and Leung, C.-S.

http://dx.doi.org/10.1007/978-3-642-34481-7

Volume: 7664

Pages: 266-273

Publisher: Springer

ISBN: 978-3-642-34480-0

DOI: 10.1007/978-3-642-34481-7_33

This data was imported from Scopus:

Authors: Balaguer-Ballester, E., Bouchachia, A., Jiang, B. and Denham, S.L.

Volume: 7664 LNCS

Pages: 266-273

ISBN: 9783642344800

DOI: 10.1007/978-3-642-34481-7_33

Understanding the neural dynamics underlying the fast discrimination of music and speech in noise is a very challenging task for neurocomputational and speech recognition models. In this paper, we present a model of interacting neural ensembles which includes a top-down modulation of the peripheral system dynamics, based on bottom-up perceptual predictions. This bi-directional processing could enable the detection of sudden changes in the input sounds in noise; advancing in the understanding of how listeners can improve their perception by focusing their attention. Our preliminary work opens the possibility of developing a pioneering class of neurophysiological-based speech processors for cochlear implants and speech recognition devices under degraded conditions. © 2012 Springer-Verlag.

This data was imported from Web of Science (Lite):

Authors: Balaguer-Ballester, E., Bouchachia, A., Jiang, B. and Denham, S.L.

Volume: 7664

Pages: 266-273

The data on this page was last updated at 04:45 on September 21, 2017.