Title :
Realization of a CNN universal chip in CMOS technology
Author :
Espejo, S. ; Dominguez-Castro, R. ; Rodríguez-Vázquez, A.
Author_Institution :
Dept. of Analog Design, Seville Univ., Spain
fDate :
30 Apr-3 May 1995
Abstract :
This paper describes the design of a programmable Cellular Neural Network (CNN) chip, with additional functionalities similar to those of the CNN Universal Chip. The prototype, which contains 1024 cells, has been designed in a 1.0 μm, n-well CMOS technology. A careful selection of the topology and design parameters has resulted in a cell density of 31 cells/mm2 and an accuracy in the weight values in the range of 7-8 bits. Adaptive techniques have been employed to ensure accurate external control and system robustness against process-parameter variations
Keywords :
CMOS analogue integrated circuits; analogue processing circuits; cellular neural nets; integrated circuit design; neural chips; 1.0 micron; CNN universal chip; adaptive techniques; analogue processing systems; cell density; design parameters; external control; n-well CMOS technology; process-parameter variations; programmable cellular neural network; system robustness; weight values; Bonding; CMOS technology; Cellular neural networks; Centralized control; Circuits; Communication system control; Equations; Intelligent networks; Proposals; Prototypes;
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
DOI :
10.1109/ISCAS.1995.521599
