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

J. Javier Martinez; F. Javier Toledo; J. Manuel Ferrandez

doi:10.1117/12.608118

29 June 2005 Implementation of a discrete cellular neuron model (DT-CNN) architecture on FPGA

J. Javier Martinez, F. Javier Toledo, J. Manuel Ferrandez

Proceedings Volume 5839, Bioengineered and Bioinspired Systems II; (2005) https://doi.org/10.1117/12.608118
Event: Microtechnologies for the New Millennium 2005, 2005, Sevilla, Spain

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.

Citation Download Citation

J. Javier Martinez, F. Javier Toledo, and J. Manuel Ferrandez "Implementation of a discrete cellular neuron model (DT-CNN) architecture on FPGA", Proc. SPIE 5839, Bioengineered and Bioinspired Systems II, (29 June 2005); https://doi.org/10.1117/12.608118

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