Title of article
Integration and segregation in auditory streaming
Author/Authors
Antoine G. Almonte، نويسنده , , Felix and Jirsa، نويسنده , , Viktor K. and Large، نويسنده , , Edward W. and Tuller، نويسنده , , Betty، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2005
Pages
23
From page
137
To page
159
Abstract
We aim to capture the perceptual dynamics of auditory streaming using a neurally inspired model of auditory processing. Traditional approaches view streaming as a competition of streams, realized within a tonotopically organized neural network. In contrast, we view streaming to be a dynamic integration process which resides at locations other than the sensory specific neural subsystems. This process finds its realization in the synchronization of neural ensembles or in the existence of informational convergence zones. Our approach uses two interacting dynamical systems, in which the first system responds to incoming acoustic stimuli and transforms them into a spatiotemporal neural field dynamics. The second system is a classification system coupled to the neural field and evolves to a stationary state. These states are identified with a single perceptual stream or multiple streams. Several results in human perception are modelled including temporal coherence and fission boundaries [L.P.A.S. van Noorden, Temporal coherence in the perception of tone sequences, Ph.D. Thesis, Eindhoven University of Technology, The Netherlands, 1975], and crossing of motions [A.S. Bregman, Auditory Scene Analysis: The Perceptual Organization of Sound, MIT Press, 1990]. Our model predicts phenomena such as the existence of two streams with the same pitch, which cannot be explained by the traditional stream competition models. An experimental study is performed to provide proof of existence of this phenomenon. The model elucidates possible mechanisms that may underlie perceptual phenomena.
Keywords
Streaming , Perception , Auditory , NETWORK
Journal title
Physica D Nonlinear Phenomena
Serial Year
2005
Journal title
Physica D Nonlinear Phenomena
Record number
1726339
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