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The association of CNTFET and adjustable resistive devices is investigated to implement programmable logic using neural networks. A learning cell, based on switched capacitors principle, is designed in order to apply a simplified learning rule to program the resistances associated to each synaptic weight of the network. Electrical simulations validate the relevance of such approach.
Date of Conference: 25-27 March 2008