Sharpening of input excitation curves in lateral inhibition

Vladimir Majernik, Andrej Kral

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Various lateral inhibition neural networks are studied by means of computer simulation regarding their ability to sharpen the input excitation curves. To quantify this ability we introduced two new entropy-like quantities (called the iteration entropy and the rate of convergence) which represent suitable measures for the sharpening of the input excitation curves in a certain lateral inhibition neural network. Using these quantities we quantitatively described the sharpening ability of different lateral inhibition networks.

Original languageEnglish
Pages (from-to)65-80
Number of pages16
JournalInternational Journal of Neural Systems
Volume4
Issue number1
DOIs
Publication statusPublished - 1 Jan 1993
Externally publishedYes

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