NIRT : Molecular Assembly for Hybrid Electronics NSF
نویسندگان
چکیده
The reduction of feature size on chips achieved by the tremendous technological advances in miniaturization that have enabled more and more transistors to be packed onto a silicon chip is limited not just by the resolution of the beam optics and resist chemistry, but also by the problem of inevitable fluctuations, both quantum and classical. Consequently, below a limiting dimension that we have nearly reached, a new paradigm that goes beyond conventional solid state electronics has to be developed for the next generation of electronics devices. Our approach is to adopt a new biologically-inspired approach called “Self-Evolving Neuromorphic Networks” [1]. This realization has in part been a result of recent observations by neurobiologists that certain functions of the neocortex (the part of the brain responsible for the most advanced information processing functions including complex image recognition and self-awareness) may be understood on the basis of “synaptic Darwinism”. This assumes that neural cell connections (synapses) are in a state of permanent change: under the effect of brain activity some synapses are discretely strengthened, while others die out–the process paralleled to mutations at evolution. This observation may be used as the basis for artificial models of the neocortex in the hope that most (if not all) of their useful structuring may be achieved by natural synaptic evolution, provided that the synapse devices are sufficiently adaptive (“plastic”), and the model speed is sufficiently high to make the evolution time scale reasonable.
منابع مشابه
NIRT : Technologies , Architectures and Performance Analysis for Nanoelectronics NSF NIRT Grant CCF - 0403674
Introduction and Objectives Forty years ago Gordon Moore predicted exponential growth in the density of electronic circuits, a forecast that has been realized. A concomitant of this remarkable achievement is that design and manufacturing costs have increased dramatically. We are approaching a tipping point at which either exponential growth in density will cease or new technologies and methods ...
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تاریخ انتشار 2004