Organic memory and memristors: from mechanisms, materials to devices
Facing the exponential growth of data digital communications and the advent of artificial
intelligence, there is an urgent need for information technologies with huge storage capacity …
intelligence, there is an urgent need for information technologies with huge storage capacity …
Understanding memristive switching via in situ characterization and device modeling
Owing to their attractive application potentials in both non-volatile memory and
unconventional computing, memristive devices have drawn substantial research attention in …
unconventional computing, memristive devices have drawn substantial research attention in …
The future of electronics based on memristive systems
A memristor is a resistive device with an inherent memory. The theoretical concept of a
memristor was connected to physically measured devices in 2008 and since then there has …
memristor was connected to physically measured devices in 2008 and since then there has …
Learning of spatiotemporal patterns in a spiking neural network with resistive switching synapses
The human brain is a complex integrated spatiotemporal system, where space (which
neuron fires) and time (when a neuron fires) both carry information to be processed by …
neuron fires) and time (when a neuron fires) both carry information to be processed by …
[HTML][HTML] Brain-inspired computing with resistive switching memory (RRAM): Devices, synapses and neural networks
D Ielmini - Microelectronic Engineering, 2018 - Elsevier
The human brain can perform advanced computing tasks, such as learning, recognition, and
cognition, with extremely low power consumption and low frequency of neuronal spiking …
cognition, with extremely low power consumption and low frequency of neuronal spiking …
In-memory computing with emerging memory devices: Status and outlook
In-memory computing (IMC) has emerged as a new computing paradigm able to alleviate or
suppress the memory bottleneck, which is the major concern for energy efficiency and …
suppress the memory bottleneck, which is the major concern for energy efficiency and …
Photoferroelectric all-van-der-Waals heterostructure for multimode neuromorphic ferroelectric transistors
Interface-driven effects in ferroelectric van der Waals (vdW) heterostructures provide fresh
opportunities in the search for alternative device architectures toward overcoming the von …
opportunities in the search for alternative device architectures toward overcoming the von …
Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits
Spiking neural networks, the most realistic artificial representation of biological nervous
systems, are promising due to their inherent local training rules that enable low-overhead …
systems, are promising due to their inherent local training rules that enable low-overhead …
Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity
Brain-inspired computation can revolutionize information technology by introducing
machines capable of recognizing patterns (images, speech, video) and interacting with the …
machines capable of recognizing patterns (images, speech, video) and interacting with the …
Resistive switching crossbar arrays based on layered materials
Resistive switching (RS) devices are metal/insulator/metal cells that can change their
electrical resistance when electrical stimuli are applied between the electrodes, and they …
electrical resistance when electrical stimuli are applied between the electrodes, and they …