Gabor-like image filtering using a neural microcircuit

被引：2
|
作者：
Mayr, C. [1 ]
Heittmann, A.
Schueffny, R.
机构：
[1] Tech Univ Dresden, Dept Elect Engn, Circuits & Syst Lab, D-01062 Dresden, Germany
[2] Infineon Technol AG, Corp Res, D-81730 Munich, Germany
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS | 2007年 / 18卷 / 03期
关键词：
neural image processing; neural microcircuit application; pulse computation application; pulsed Gabor convolution;
D O I：
10.1109/TNN.2007.891687
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this letter, we present an implementation of a neural microcircuit for image processing employing Hebbian-adaptive learning. The neuronal circuit utilizes only excitatory synapses to correlate action potentials, extracting the uncorrelated ones, which contain significant image information. This circuit is capable of approximating Gabor-like image filtering and other image processing functions.
引用
收藏
页码：955 / 959
页数：5
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