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Found 5 papers, 1 papers with code
Text Classification in Memristor-based Spiking Neural Networks
We take two approaches to obtain trained spiking neural networks with memristor models: 1) by converting a pre-trained artificial neural network (ANN) to a memristor-based SNN, or 2) by training a memristor-based SNN directly.
A tool for emulating neuromorphic architectures with memristive models and devices
Memristors have shown promising features for enhancing neuromorphic computing concepts and AI hardware accelerators.
An FPGA-based System for Generalised Electron Devices Testing
Electronic systems are becoming more and more ubiquitous as our world digitises.
Palimpsest Memories Stored in Memristive Synapses
This showcases the use of emerging memory technologies to efficiently expand the capacity of artificial intelligence hardware towards more generalised learning memories.
Frequency Response of Metal-Oxide Memristors
Memristors have been at the forefront of nanoelectronics research for the last decade, offering a valuable component to reconfigurable computing.
Applied Physics
