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  A Neural Model of Visual Contour Integration

Li, Z. (1997). A Neural Model of Visual Contour Integration. In M. Mozer, M. Jordan, & T. Petsche (Eds.), Advances in Neural Information Processing Systems 9 (pp. 69-75). Cambridge, MA, USA: MIT Press.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-6F82-E Version Permalink: https://hdl.handle.net/21.11116/0000-0003-6F83-D
Genre: Conference Paper

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https://papers.nips.cc/paper/1244-a-neural-model-of-visual-contour-integration.pdf (Publisher version)
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 Creators:
Li, Z1, Author           
Affiliations:
1External Organizations, ou_persistent22              

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 Abstract: We introduce a neurobiologically plausible
model of contour integration from visual
inputs of individual oriented edges. The
model is composed of interacting excitatory
neurons and inhibitory interneurons, receives visual inputs via oriented receptive
fields (RFs) like those in VI. The RF centers
are distributed in space. At each location, a finite number of cells tuned to orientations
spanning 180 O compose a model hypercolumn. Cortical interactions modify
neural activities produced by visual inputs,
selectively amplifying activities for edge
elements belonging to smooth input contours. Elements within one contour
produce synchronized neural activities.
We show analytically and empirically that
contour enhancement and neural synchrony
increase with contour length, smoothness
and closure, as observed experimentally.
This model gives testable predictions, and
in addition, introduces a feedback mechanism allowing higher visual centers
to enhance, suppress, and segment contours.

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 Dates: 1997
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
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 Degree: -

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Title: Tenth Annual Conference on Neural Information Processing Systems (NIPS 1996)
Place of Event: Denver, CO, USA
Start-/End Date: 1996-12-02 - 1996-12-05

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Title: Advances in Neural Information Processing Systems 9
Source Genre: Proceedings
 Creator(s):
Mozer, MC, Editor
Jordan, MI, Editor
Petsche, T, Editor
Affiliations:
-
Publ. Info: Cambridge, MA, USA : MIT Press
Pages: 1098 Volume / Issue: - Sequence Number: - Start / End Page: 69 - 75 Identifier: ISBN: 0-262-10065-7