Cellular wave computers for brain-like spatial-temporal sensory computing

被引：28

作者：

Roska, Tamás ^{[1
]}

机构：

[1] Faculty of Information Technology, P. Pázmány Catholic University, Hungarian Academy of Sciences, Budapest

来源：

IEEE Circuits and Systems Magazine | 2005年 / 5卷 / 02期

基金：

匈牙利科学研究基金会; 美国国家科学基金会;

关键词：

Algorithms - Automata theory - Binary codes - Chaos theory - Integrated circuits - Sensors;

D O I：

10.1109/MCAS.2005.1438736

中图分类号：

学科分类号：

摘要：

Present day classical computers, developed during the last sixty years are essentially logic machines, based on binary logic and arithmetic, acting on discrete valued (binary coded) data. Its unique property is algorithmic (stored) programmability, invented by John von Neumann. The mathematical concept is based on a Universal Machine on integers (Turing Machine). Cellular automata, introduced also by J. von Neumann, are fully parallel array processors with all discrete space, time and state values. Their beautiful properties have been recently rediscovered showing the deeper qualitative properties. If we allow the states and time to be continuous values like in CNN, a broader class of dynamics will be generated. Even more, the fundamental condition to generate complex features at the edge of chaos have been established: the need of local activity. Taking one step further, and using the CNN-UM architecture, a new world of algorithms is opening. ©2005 IEEE.

引用

页码：5 / 19

页数：14

共 17 条

[1]

Salfo P., Sensors: The Next Wave of Infotech Innovation

[2]

Roska T., Rodriguez-Vazquez A., Towards visual microprocessors, Proc. IEEE, (2002)

[3]

Roska T., Computational and computer complexity of analogic cellular wave computers, Journal of Circuits, Systems and Computers, 12, pp. 539-562, (2003)

[4]

Chua L.O., CNN: A Paradigm for Complexity, (1998)

[5]

Adam M., Et al., Three dimensional single crystalline force sensor by porous Si micromachining, Proc. IEEE Sensors 2004, (2004)

[6]

Tokes Sz., Et al., Flexibly programmable opto-electronic analogic CNN computer (POAC) implementation applying and efficient, unconventional optical correlator architecture, Journal of Circuits, Systems and Computers, 12, pp. 739-768, (2003)

[7]

Proceedings of the IEEE International Workshop on Cellular Neural Networks and Their Applications (CNNA-2004), (2004)

[8]

Roska B., Werblin F.S., Ten parallel channels, Nature, (2001)

[9]

Balya D., Roska B., Roska T., Werblin F.S., A CNN framework for modeling parallel processing in the mammalian retina, Int, J. Circuit Theory and Applications, 30, pp. 363-393, (2002)

[10]

Gilli M., Roska T., Civalleri P.P., Chua L.O., CNN dynamics represents a broader class than PDEs, Int. J. Bifurcation and Chaos, (2003)

← 1 2 →