Modular gm-C programmable CNN implementation

Drahoslav Lim, George S. Moschytz

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations


A programmable cellular neural network has been designed in a 0.8 μ CMOS technology. An arbitrarily large analog CNN can be constructed by modularly connecting `tile' CNN chips, each with a modest number of cells. The network operates in continuous time, has a PWL output function, and the cell connections (template values) are realized as sets of switchable unit and half-unit transconductors. Matching accuracy, including matching among chips from different manufacturing runs, and operation was verified on uncoupled and coupled templates.

Original languageEnglish
Pages (from-to)139-142
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
StatePublished - 1998
Externally publishedYes
EventProceedings of the 1998 IEEE International Symposium on Circuits and Systems, ISCAS. Part 5 (of 6) - Monterey, CA, USA
Duration: 31 May 19983 Jun 1998


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