Abstract
The perception of sound involves a complex array of attributes and processes, ranging from the sensation of timber, pitch, and other spectral estimates (primarily monaural tasks), to the localization and fusion of sound sources, and the cocktail-party-effect (primarily bin- aural tasks). Computational strategies proposed to describe these phenomena have mostly emphasised temporal, rather than spatial, features in the representation of sound in the auditory system. This has led to considerably divergent views of the processing (and possible underlying biological networks) in auditory versus other sensory systems, such as the visual system. Recent experimental findings from the peripheral and central auditory system, however, reveal intricate spatiotemporal neural response patterns and a multitude of spatial cues that can encode the acoustic stimulus. These results suggest a unified computational framework, and hence shared neural network architectures, for central auditory and visual processing
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Shamma, S.A. (1992). Hearing As Seeing Space and Time in Auditory Processing. In: Eeckman, F.H. (eds) Analysis and Modeling of Neural Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4010-6_26
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DOI: https://doi.org/10.1007/978-1-4615-4010-6_26
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