Functional Count-Comparison Model for Binaural Decoding
Authors: Pulkki, Ville; Hirvonen, Toni
Source: Acta Acustica united with Acustica, Volume 95, Number 5, September/October 2009 , pp. 883-900(18)
Publisher: S. Hirzel Verlag
Abstract:
Some recent neurophysical studies suggest that mammalian binaural decoding is based on count comparison. When a signal is presented earlier or with higher level to one ear, the neural signals are stronger in the auditory pathways leading to the contralateral hemisphere in such mechanisms. This paper describes functional count-comparison models of two brainstem nuclei, medial superior olive (MSO) and lateral superior olive (LSO), both of which exist in both hemispheres. The topology of the organs and the connections between them as presented in the current neuroanatomical studies are imitated in the functional model. The parameters of the functional models are selected to fit existing neurophysiological and psychoacoustical data. It is shown that the proposed MSO and LSO models are sensitive to interaural differences in time and level in a way that accounts for some known psychoacoustical phenomena.Document Type: Research article
DOI: http://dx.doi.org/10.3813/AAA.918220
Publication date: 2009-09-01
- Acta Acustica united with Acustica, published together with the European Acoustics Association (EAA), is an international, peer-reviewed journal on acoustics. It publishes original articles on all subjects in the field of acoustics, such as general linear acoustics, nonlinear acoustics, macrosonics, flow acoustics, atmospheric sound, underwater sound, ultrasonics, physical acoustics, structural acoustics, noise control, active control, environmental noise, building acoustics, room acoustics, acoustic materials, acoustic signal processing, computational and numerical acoustics, hearing, audiology and psychoacoustics, speech, musical acoustics, electroacoustics, auditory quality of systems. It reports on original scientific research in acoustics and on engineering applications. The journal considers scientific papers, technical and applied papers, book reviews, short communications, doctoral thesis abstracts, etc. In irregular intervals also special issues and review articles are published.
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