Preprint available on auditory scene analysis

[DeLiang Wang]

The following preprint is available via FTP/WWW:

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Primitive Auditory Segregation Based on Oscillatory Correlation
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DeLiang Wang

Cognitive Science: Accepted for publication

The Ohio State University

Auditory scene analysis is critical for complex auditory processing.  We 
study auditory segregation from the neural network perspective, and develop 
a 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, 
can 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 rate 
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.

(42 pages + one figure = 1.5MB + 600 KB) 


for anonymous ftp:
       	FTP-HOST: ftp.cis.ohio-state.edu
	Directory: /pub/leon/Wang95
       	FTP-filenames: Wang.prep.ps.Z, fig5G.ps.Z

or for WWW:
	http://www.cis.ohio-state.edu/~dwang


Comments are most welcome - Please send to 
	DeLiang Wang (dwang at cis.ohio-state.edu)


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FTP instructions:

To retrieve and print the files, use the following commands:

unix> ftp ftp.cis.ohio-state.edu
Name: anonymous
Password: (your email address)
ftp> binary
ftp> cd /pub/leon/Wang95
ftp> get Wang.prep.ps.Z
ftp> get fig5G.ps.Z
ftp> quit
unix> uncompress Wang.prep.ps.Z
unix> uncompress fig5G.ps.Z
unix> lpr {each of the two postscript files} 
	(Wang.prep.ps may not ghostview well - some figures do not show up with
	 my ghostview - but it should print ok)
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