Carmona Galán, RicardoJiménez Garrido, Francisco JoséDomínguez Castro, RafaelEspejo Meana, Servando CarlosRodríguez Vázquez, Ángel Benito2019-10-282019-10-282002Carmona Galán, R., Jiménez Garrido, F.J., Domínguez Castro, R., Espejo Meana, S.C. y Rodríguez Vázquez, Á.B. (2002). CMOS realization of a 2-layer CNN universal machine chip. En IEEE International Workshop on Cellular Neural Networks and Their Applications (444-451), Frankfurt, Alemania: Institute of Electrical and Electronics Engineers.981-238-121-Xhttps://hdl.handle.net/11441/89947Some of the features of the biological retina can be modelled by a cellular neural network (CNN) composed of two dynamically coupled layers of locally connected elementary nonlinear processors. In order to explore the possibilities of these complex spatio-temporal dynamics in image processing, a prototype chip has been developed by implementing this CNN model with analog signal processing blocks. This chip has been designed in a 0.5/spl mu/m CMOS technology. Design challenges, trade-offs and the building blocks of such a high-complexity system (0.5 /spl times/ 10/sup 6/ transistors, most of them operating in analog mode) are presented in this paper.application/pdfengAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1109/CNNA.2002.1035082