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