title: CMOS realization of a 2-layer CNN universal machine chip.
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.
authors.affiliation: Instituto de Microelectrónica de Sevilla-CNM-CSIC, Avda. Reina Mercedes s/n, Sevilla, 41012, Spain. rcamona@imse.cnm.es
authors.forename: R
authors.initials: R
authors.lastname: Carmona
authors.forename: F
authors.initials: F
authors.lastname: Jiménez-Garrido
authors.forename: R
authors.initials: R
authors.lastname: Domínguez-Castro
authors.forename: S
authors.initials: S
authors.lastname: Espejo
authors.forename: A
authors.initials: A
authors.lastname: Rodríguez-Vázquez
mesh_terms: D008838:Microcomputers / Q000639:trends; D016571:Neural Networks, Computer; D012160:Retina / Q000502:physiology