Mixed analog-digital design of a learning nano-circuit for neuronal architectures

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.