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Proceedings Paper

Hardware implementation of a neural vision system based on a neural network using integrated and fire neurons
Author(s): M. González; H. Lamela; M. Jiménez; J. Gimeno; M. Ruiz-Llata
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Paper Abstract

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.

Paper Details

Date Published: 9 April 2007
PDF: 16 pages
Proc. SPIE 6576, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V, 65760Y (9 April 2007); doi: 10.1117/12.723364
Show Author Affiliations
M. González, Univ. Carlos III de Madrid (Spain)
H. Lamela, Univ. Carlos III de Madrid (Spain)
M. Jiménez, Univ. Carlos III de Madrid (Spain)
J. Gimeno, Univ. Carlos III de Madrid (Spain)
M. Ruiz-Llata, Univ. Carlos III de Madrid (Spain)


Published in SPIE Proceedings Vol. 6576:
Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V
Harold H. Szu; Jack Agee, Editor(s)

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