A Neural Network implemented on NAND memory

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Abstract
This article describes how a NAND memory device is adapted to the implementation of an artificial neural network. To this aim, a new hardware realization of the elementary synapse (called here "Synaptic Cell") is proposed. Furthermore, a method for connecting neurons to form a multilayer ANN is proposed with necessary algorithms to run it. Some examples of neural behavior, like function approximation and classification are reported.

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