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A Prototype CVNS Distributed Neural Network Using Synapse-Neuron Modules

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3 Author(s)
Golnar Khodabandehloo ; Department of Electrical and Computer Engineering, University of Windsor, Windsor, Canada ; Mitra Mirhassani ; Majid Ahmadi

Continuous valued number system (CVNS) has the fulfilment of being used for building resistive-type distributed neural networks (DNNs). CVNS DNNs benefit form scalability and higher noise immunity compared to the conventional DNNs. In this paper, CVNS is used to design synapse-neuron modules to cope with the environment resolution. These modules can be employed as building blocks of distributed neural networks. A 4-3-2 network is designed and trained to justify the functionality of the proposed structure. This prototype is simulated and laid out in 0.18 μm CMOS technology.

Published in:

IEEE Transactions on Circuits and Systems I: Regular Papers  (Volume:59 ,  Issue: 7 )