DocumentCode :
2308078
Title :
Challenges and opportunities for analog neural processing in the deep submicron SoC era
Author :
Rodriguez-Vasquez, A.
Author_Institution :
Institute of Microelectronics of Seville, Spain
Volume :
1
fYear :
2004
fDate :
25-29 July 2004
Abstract :
Summary form only given. Merging sensors, processors and actuators defines one prevalent target of modern electronic system design. Bionic prostheses, bio-inspired sensory systems, ambient intelligence, wireless personal area networks, monitoring of physiological parameters, ... define new scenarios for these systems. And pose new challenges for integrated circuit design. New architectures may be needed in connection to some of these scenarios. Also, issues like ultra low-power consumption, on-chip co-existence of analog and digital signals, and incomplete characterization of design primitives, etc. force the exploration of new architectures as well as new circuit techniques. In many cases, inspiration can be gained from nature regarding processor organization, information coding, fault-tolerant operation, adaptive operation, etc. These talk overviews some relevant challenges and opportunities for analog design in these new microelectronic scenarios. Considerations are illustrated through true VLSI mixed-signal chips for vision.
Keywords :
VLSI; mixed analogue-digital integrated circuits; neural net architecture; analog neural processing; deep submicron SoC era; electronic system design; integrated circuit design; Actuators; Ambient intelligence; Biomedical monitoring; Biosensors; Condition monitoring; Intelligent sensors; Merging; Neural prosthesis; Sensor systems; Wireless personal area networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
ISSN :
1098-7576
Print_ISBN :
0-7803-8359-1
Type :
conf
DOI :
10.1109/IJCNN.2004.1379935
Filename :
1379935
Link To Document :
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