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Proceedings Paper

Implementation of a discrete cellular neuron model (DT-CNN) architecture on FPGA
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Paper Abstract

This paper explores different alternatives to carry out a model of digital CNN from the point of view of its implementation on FPGAs. It shows the developments of four different DT-CNN models obtained from different transformations made to the original continuous model of CNN. Next, each discrete approach is simulated and compared with the rest of approaches and the continuous models. The objective of this study is to find the approach which best emulates the continuous neuron model at minimum computational cost. The simulations and temporal analysis of the discrete models have been made both in feedback and open system in order to verify their functionality. Finally, the architecture of the best model is implementated on an FPGA obtaining very interesting results.

Paper Details

Date Published: 29 June 2005
PDF: 9 pages
Proc. SPIE 5839, Bioengineered and Bioinspired Systems II, (29 June 2005); doi: 10.1117/12.608118
Show Author Affiliations
J. Javier Martinez, Univ. Politecnica de Cartagena (Spain)
F. Javier Toledo, Univ. Politecnica de Cartagena (Spain)
J. Manuel Ferrandez, Univ. Politecnica de Cartagena (Spain)

Published in SPIE Proceedings Vol. 5839:
Bioengineered and Bioinspired Systems II
Ricardo A. Carmona; Gustavo Linan-Cembrano, Editor(s)

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