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[Bruno Olshausen]

The following technical report has been archived for public ftp:

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 A NEURAL MODEL OF VISUAL ATTENTION AND INVARIANT PATTERN RECOGNITION
				   
       Bruno Olshausen, Charles Anderson*, and David Van Essen
				   
		Computation and Neural Systems Program
		     Division of Biology, 216-76
				 and
		      *Jet Propulsion Laboratory
		  California Institute of Technology
			  Pasadena, CA 91125

			     CNS Memo 18

Abstract.  We present a biologically plausible model of an attentional
mechanism for forming position- and scale-invariant object
representations.  The model is based on using control neurons to
dynamically modify the synaptic strengths of intra-cortical
connections so that information from a windowed region of primary
visual cortex, V1, is routed to higher cortical areas while preserving
information about spatial relationships.  This paper describes details
of a neural circuit for routing visual information and provides a
solution for controlling the circuit as part of an autonomous
attentional system for recognizing objects.  The model is designed to
be consistent with known neurophysiology, neuroanatomy, and
psychophysics, and it makes a variety of experimentally testable
predictions.
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Obtaining the paper via anonymous ftp:

1. ftp to kant.cns.caltech.edu (131.215.135.31)

2. login as 'anonymous' and type your email address as the password

3. cd to pub/cnsmemo.18

4. set transfer mode to binary (type 'binary' at the prompt)

5. get either 'paper-apple.tar.Z' or 'paper-sparc.tar.Z'.  The first
will print on the Apple LaserWriter II, the other on the SPARCprinter.
(They may work on other PostScript printers too, but I can't guarantee it.)

6. quit from ftp, and then uncompress and detar the file on your
machine by typing

	uncompress -c filename.tar.Z | tar xvf -

7. remove the tarfile and print out the three postscript files
(paper1.ps, paper2.ps and paper3.ps), beginning with paper3.ps.

If you don't have an appropriate PostScript printer, then send a
request for a hardcopy to bruno at cns.caltech.edu.