Publication | Closed Access
CNN using memristors for neighborhood connections
212
Citations
10
References
2010
Year
Electrical EngineeringMemristor ProgrammingEngineeringCellular Neural NetworkComputational NeuroscienceComputer ArchitectureComputer EngineeringMemristor ModelComputer ScienceNeuromorphic EngineeringBrain-like ComputingDeep LearningNeighborhood ConnectionsNeurocomputers
In this paper we consider using memristors to implement the neighborhood connections of a CNN. First the benefits and drawbacks of using memristors as programmable CNN weights are described. Then, an existing memristor model is improved to allow full-scale simulation of the design. The new model is implemented in the SPICE simulation environment and is not restricted to CNN applications. Then, the CNN cell design is presented and simulations describing memristor programming are performed.
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