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

M. González; H. Lamela; M. Jiménez; J. Gimeno; M. Ruiz-Llata

doi:10.1117/12.723364

9 April 2007 Hardware implementation of a neural vision system based on a neural network using integrated and fire neurons

M. González, H. Lamela, M. Jiménez, J. Gimeno, M. Ruiz-Llata

Author Affiliations +

Proceedings Volume 6576, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V; 65760Y (2007) https://doi.org/10.1117/12.723364
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

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.

Citation Download Citation

M. González, H. Lamela, M. Jiménez, J. Gimeno, and M. Ruiz-Llata "Hardware implementation of a neural vision system based on a neural network using integrated and fire neurons", Proc. SPIE 6576, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V, 65760Y (9 April 2007); https://doi.org/10.1117/12.723364

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