CMOS realization of a 2-layer CNN universal machine chip
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R Carmona1, F Jiménez-Garrido, R Domínguez-Castro
1Instituto de Microelectrónica de Sevilla-CNM-CSIC, Avda. Reina Mercedes s/n, Sevilla, 41012, Spain. rcamona@imse.cnm.es
Abstract:
Some features of the biological retina can be modelled by a 2-layer cellular neural network (CNN) composed of locally connected elementary nonlinear processors. In order to explore these complex spatiotemporal dynamics for image processing, a prototype chip has been designed and fabricated in a 0.5 microm CMOS technology. Design challenges, trade-offs, the building blocks and the tests results for this system with 0.5 x 10(6) transistors, most of them operating in analog mode, are presented in this paper.
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