Hardware implementation of a neural vision system based on a neural network using integrated and fire neurons

被引：1
|
作者：
Gonzalez, M. [1 ]
Lamela, H. [1 ]
Jimenez, M. [1 ]
Gimeno, J. [1 ]
Ruiz-Llata, M. [1 ]
机构：
[1] Univ Carlos III Madrid, Dpto Tecnol Elect, Madrid 28911, Spain
来源：
INDEPENDENT COMPONENT ANALYSES, WAVELETS, UNSUPERVISED NANO-BIOMIMETIC SENSORS, AND NEURAL NETWORKS V | 2007年 / 6576卷
关键词：
address event representation; pulse coupled neural network (PCNN); optoelectronic neural processor; vision system;
D O I：
10.1117/12.723364
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 paper we present the scheme for a control circuit used in an image processing system which is to be implemented in a neural network which has a high level of connectivity and reconfiguration of neurons for integration and trigger based on the Address-Event Representation. This scheme will be employed as a pre-processing stage for a vision system which employs as its core processing an Optical Broadcast Neural Network (OBNN). [Optical Engineering letters 42 (9), 2488(2003)]. The proposed vision system allows the possibility to introduce patterns from any acquisition system of images, for posterior processing.
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页数：16
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