Neurodynamical top-down processing during auditory attention
Volume: 7664 LNCS
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.
Neurodynamical Top-Down Processing during Auditory Attention.
Editors: Huang, T., Zeng, Z., Li, C. and Leung, C.-S.