A Reconfigurable Graphene-Based Spiking Neural Network Architecture

A Reconfigurable Graphene-Based Spiking Neural Network Architecture

In the paper we propose a reconfigurable graphene-based Spiking Neural Network (SNN) architecture and a training methodology for initial synaptic weight values determination. The proposed graphene-based platform is flexible, comprising a programmable synaptic array which can be configured for differ...

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Bibliographic Details
Main Authors: He Wang, Nicoleta Cucu Laurenciu, Sorin Dan Cotofana
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Open Journal of Nanotechnology
Subjects:
Spiking neural network
graphene
reconfigurable
character recognition
edge detection
Online Access:https://ieeexplore.ieee.org/document/9477033/

Internet

https://ieeexplore.ieee.org/document/9477033/

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