CNN universal chips crank up the computing power

New cellular neural network chips, with stored-program capability and analog-and-logic architecture, are poised to challenge all-digital processing. In this article, we highlight the key ideas leading to the CNN Universal Machine, using simple circuit interpretations. We also illustrate the system, software, and application aspects.

[1]  Frank S. Werblin,et al.  The computational eye , 1996 .

[2]  Frank S. Werblin,et al.  Using CNN to unravel space-time processing in the vertebrate retina , 1994, Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94).

[3]  L. Kek,et al.  Mammogram analysis using CNN algorithms , 1995, Medical Imaging.

[4]  Leon O. Chua,et al.  Genetic algorithm for CNN template learning , 1993 .

[5]  Tamás Roska,et al.  A fast, complex and efficient test implementation of the CNN Universal Machine , 1994, Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94).

[6]  T. Roska Analog events and a dual computing structure using analog and digital circuits and operators , 1988 .

[7]  Leon O. Chua,et al.  A CNN chip for connected component detection , 1991 .

[8]  Leon O. Chua,et al.  The CNN paradigm , 1993 .

[9]  Leon O. Chua,et al.  A current-mode DTCNN universal chip , 1994, Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94.

[10]  L. Nemes,et al.  Deblurring of images by cellular neural networks with applications to microscopy , 1994, Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94).

[11]  S. Espejo,et al.  A CNN universal chip in CMOS technology , 1994, Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94).

[12]  Leon O. Chua,et al.  Autonomous cellular neural networks: a unified paradigm for pattern formation and active wave propagation , 1995 .

[13]  Leon O. Chua,et al.  The analogic cellular neural network as a bionic eye , 1995, Int. J. Circuit Theory Appl..

[14]  Tamás Roska,et al.  Smart image scanning algorithms for the CNN universal machine , 1995 .

[15]  P. L. Venetianer,et al.  Image compression by CNN , 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

[16]  Tamás Roska,et al.  The use of CNN models in the subcortical visual pathway. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-16-1992) , 1993 .

[17]  P. Szolgay,et al.  On a CNN chip-prototyping system , 1994, Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94).

[18]  Tamás Roska,et al.  The CNN universal machine: an analogic array computer , 1993 .

[19]  Tamás Roska,et al.  CNN chip set architectures and the visual mouse , 1996, 1996 Fourth IEEE International Workshop on Cellular Neural Networks and their Applications Proceedings (CNNA-96).

[20]  P. Kinget,et al.  An analog parallel array processor for real-time sensor signal processing , 1996, 1996 IEEE International Solid-State Circuits Conference. Digest of TEchnical Papers, ISSCC.

[21]  Lin-Bao Yang,et al.  Cellular neural networks: theory , 1988 .