Neurodynamical top-down processing during auditory attention

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

Volume: 7664 LNCS

Pages: 266-273

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

Abstract:

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.

Source: Scopus