Cart (Loading....) | Create Account
Close category search window
 

Enhancement of categorizing and learning module (CALM) - embedded detection of signal change

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Koutnik, J. ; Dept. of Comput. Sci. & Eng., Czech Tech. Univ., Prague, Czech Republic ; Snorek, M.

In this paper an enhancement of the categorizing and learning module (CALM) is presented. The CALM neural network module was used as a basic building block of the more complex neural network for vision. The CALM module stands there as a model of cortical columns, which compose the primary visual cortex. The main disadvantage of the basic CALM model found in the previous research is that the module is not capable to detect a change of input signal automatically, which cannot be satisfactory from the biological point of view. We describe certain modifications of the structure and behavior of the module that make the model more autonomous and suitable for the modeling of the human visual cortex.

Published in:

Neural Networks, 2003. Proceedings of the International Joint Conference on  (Volume:4 )

Date of Conference:

20-24 July 2003

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.