G Csaba, W Porod - Applied physics reviews, 2020 - pubs.aip.org
Coupled oscillators are highly complex dynamical systems, and it is an intriguing concept to use this oscillator dynamics for computation. The idea is not new, but is currently the subject …
Neuromorphic computing has emerged as a promising avenue towards building the next generation of intelligent computing systems. It has been proposed that memristive devices …
PU Diehl, M Cook - Frontiers in computational neuroscience, 2015 - frontiersin.org
In order to understand how the mammalian neocortex is performing computations, two things are necessary; we need to have a good understanding of the available neuronal …
The volume, veracity, variability, and velocity of data produced from the ever increasing network of sensors connected to Internet pose challenges for power management …
In this paper, the recent progress of synaptic electronics is reviewed. The basics of biological synaptic plasticity and learning are described. The material properties and electrical …
Memristors are memory resistors that promise the efficient implementation of synaptic weights in artificial neural networks. Whereas demonstrations of the synaptic operation of …
AF Vincent, J Larroque, N Locatelli… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Spin-transfer torque magnetic memory (STT-MRAM) is currently under intense academic and industrial development, since it features non-volatility, high write and read speed and …
In this paper we review several ways of realizing asynchronous Spike-Timing-Dependent- Plasticity (STDP) using memristors as synapses. Our focus is on how to use individual …
Memristive nanodevices can feature a compact multilevel nonvolatile memory function, but are prone to device variability. We propose a novel neural network-based computing …