A real-time mammalian retina model implementation on FPGA

Zoltán Nagy, Zsolt Vörösházi, Péter Szolgay

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents an extended emulated digital retina model to compute two different retina channels in video real-time. The proposed emulated digital implementation of the two-channel retina model is discussed in three different points of view: processing speed, number of physical cells and accuracy. A real-time test environment with camera input and display output is going to be set up to analyze the retina model implementation on emulated digital CNN model by using a 6M gale equivalent FPGA (Field Programmable Gate Array).

Original languageEnglish
Title of host publicationProceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006
DOIs
Publication statusPublished - Dec 1 2006
Event2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006 - Istanbul, Turkey
Duration: Aug 28 2006Aug 30 2006

Publication series

NameProceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications

Other

Other2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006
CountryTurkey
CityIstanbul
Period8/28/068/30/06

Keywords

  • CNN-UM
  • FPGA
  • Retina model

ASJC Scopus subject areas

  • Software

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  • Cite this

    Nagy, Z., Vörösházi, Z., & Szolgay, P. (2006). A real-time mammalian retina model implementation on FPGA. In Proceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006 [4145833] (Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications). https://doi.org/10.1109/CNNA.2006.341593