Primitive auditory segregation based on oscillatory correlation
Journal/Book: Cognitive Sci. 1996; 20: 355 Chestnut St, Norwood, NJ 07648. Ablex Publ Corp. 409-456.
Abstract: Auditory scene analysis is critical for complex auditory processing. We study auditory segregation from the neural network perspective, and develop ct framework for primitive auditory scene analysis, The architecture is a laterally coupled two-dimensional network of relaxation oscillators with a global inhibitor. One dimension represents time and another one represents frequency. We show that this architecture, plus systematic delay lines, con in real time group auditory features into a stream by phase synchrony and segregate different streams by desynchronization. The network demonstrates a set of psychological phenomena regarding primitive auditory scene analysis, including dependency on frequency proximity and the rare of presentation, sequential capturing, and competition among different perceptual organizations. We offer a neurocomputational theory-shifting synchronization theory-for explaining how auditory segregation might be achieved in the brain, and the psychological phenomenon of stream segregation. Possible extensions of the model are discussed.
Note: Article DL Wang, Ohio State Univ, Dept Comp & Informat Sci, Columbus, OH 43210 USA
Keyword(s): CAT VISUAL-CORTEX; SHORT-TERM-MEMORY; INTERLEAVED MELODIES; STREAM SEGREGATION; NEURAL OSCILLATORS; UNIT-ACTIVITY; PERCEPTION; SYNCHRONIZATION; RECOGNITION; TIME