File:Contour Integration Example 4.svg

Summary

Description
English: (A) A Kernel is generated that dictates the base strength of the connections between neurons in the network. Each kernel slice shown represents the interaction between two neurons given their preferred orientations. Red represents inhibition while green represent excitation. (B) If two neurons are parallel in preference but not collinear, then they inhibit each other. (C) Parallel bars excite if they are close to collinear in preference. The three kernels shown (the same as highlighted in (A)) show the interaction if elements are related to each other as shown by the bars. For instance, if two elements are totally co-linear they would use the first kernel. The next kernel would be used if one element is offset by 15 degrees. (D) This is a side view of the 0 degree offset kernel. The kernel has modest 2nd and 3rd order polynomial curvature, which can be observed on close inspection.
Date
Source Own work
Author Mundhenk

For more info, see Mundhenk, T.N., & Itti, L. (2005). Computational modeling and exploration of contour integration for visual saliency. Biological Cybernetics, 93 (3), 188-212.

Licensing

I, the copyright holder of this work, hereby publish it under the following licenses:
w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
Category:CC-BY-SA-3.0#Contour%20Integration%20Example%204.svg
GNU head Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled GNU Free Documentation License.
Category:License migration redundant#Contour%20Integration%20Example%204.svgCategory:GFDL#Contour%20Integration%20Example%204.svg
You may select the license of your choice.
Category:Self-published work Category:Visual perception Category:Neuroscience of vision
Category:CC-BY-SA-3.0 Category:GFDL Category:License migration redundant Category:Neuroscience of vision Category:Self-published work Category:Visual perception