2 papers
cond-mat.mtrl-sci2026
Multiple spiking functionalities in annealing-optimized Ag/HfZrO-based memristive neurons
Nikita Zhidkov, Andrei Zenkevich, Anton Khanas
Rapid progress of artificial neural network applications in recent years has led to the issue of an unprecedented energy consumption. It can be solved by the implementation of ener…
cs.NE2015
An Approximate Backpropagation Learning Rule for Memristor Based Neural Networks Using Synaptic Plasticity
D. V. Negrov, I. M. Karandashev, V. V. Shakirov +3
We describe an approximation to backpropagation algorithm for training deep neural networks, which is designed to work with synapses implemented with memristors. The key idea is to…