Summary
The design, build and test of a re-programmable neural switch (RNS) are carried out. The function of such a switch is to operate as a synaptic processor behaving in an adaptive manner and suitable to be used as a compact programmable device with other artificial neural network hardware. Interaction between constituent materials forming the switch is discussed and carrier interaction during the Programming cycles is explained. Programmability of the switch is proved to be bi-directional and reversible with hysteresis effect which is due to excess charge storage.
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Extract
Design, Modeling, and Implementation of a Re-Programmable Neural Switch (Rns)
1. Introduction
Electronic neural network hardware implementations, particularly with parallelism and self-learning abilities, generated a need for miniature variable analog memory elements (synapses). The connection strength (electrical resistance) of such film deposited devices is reversibly modified through an electrochemical process. The electrical resistance of such a device can be modified to, and stabilized at, any desired value over a wide dynamical range.Such compact devices are used in an artificial neural network arrangement [1, 2,3,4].The development of neural circuits based on correlated activity, relies on two critical mechanisms. The best known of these is activity-dep...See the full content of this document
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