학술논문

Cortical mechanisms of spatial hearing
Document Type
Report
Source
Nature Reviews Neuroscience. October 2019, Vol. 20 Issue 10, p609, 15 p.
Subject
Netherlands
Language
English
ISSN
1471-003X
Abstract
Author(s): Kiki van der Heijden [sup.1] , Josef P. Rauschecker [sup.2] , Beatrice de Gelder [sup.3] , Elia Formisano [sup.3] Author Affiliations: (1) Department of ENT/Audiology, School for Mental Health [...]
Humans and other animals use spatial hearing to rapidly localize events in the environment. However, neural encoding of sound location is a complex process involving the computation and integration of multiple spatial cues that are not represented directly in the sensory organ (the cochlea). Our understanding of these mechanisms has increased enormously in the past few years. Current research is focused on the contribution of animal models for understanding human spatial audition, the effects of behavioural demands on neural sound location encoding, the emergence of a cue-independent location representation in the auditory cortex, and the relationship between single-source and concurrent location encoding in complex auditory scenes. Furthermore, computational modelling seeks to unravel how neural representations of sound source locations are derived from the complex binaural waveforms of real-life sounds. In this article, we review and integrate the latest insights from neurophysiological, neuroimaging and computational modelling studies of mammalian spatial hearing. We propose that the cortical representation of sound location emerges from recurrent processing taking place in a dynamic, adaptive network of early (primary) and higher-order (posterior-dorsal and dorsolateral prefrontal) auditory regions. This cortical network accommodates changing behavioural requirements and is especially relevant for processing the location of real-life, complex sounds and complex auditory scenes. Humans and other animals use spatial hearing to rapidly localize events in the environment. Here, van der Heijden and colleagues discuss the latest insights from neurophysiological, neuroimaging and computational modelling studies into the cortical encoding of sound location.