Review of memristor devices in neuromorphic computing: materials sciences and device challenges
The memristor is considered as the one of the promising candidates for next generation
computing systems. Novel computing architectures based on memristors have shown great …
computing systems. Novel computing architectures based on memristors have shown great …
In-memory learning with analog resistive switching memory: A review and perspective
In this article, we review the existing analog resistive switching memory (RSM) devices and
their hardware technologies for in-memory learning, as well as their challenges and …
their hardware technologies for in-memory learning, as well as their challenges and …
An organic artificial spiking neuron for in situ neuromorphic sensing and biointerfacing
The effective mimicry of neurons is key to the development of neuromorphic electronics.
However, artificial neurons are not typically capable of operating in biological environments …
However, artificial neurons are not typically capable of operating in biological environments …
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 …
Fully memristive neural networks for pattern classification with unsupervised learning
Neuromorphic computers comprised of artificial neurons and synapses could provide a
more efficient approach to implementing neural network algorithms than traditional …
more efficient approach to implementing neural network algorithms than traditional …
Bioinspired bio-voltage memristors
Memristive devices are promising candidates to emulate biological computing. However, the
typical switching voltages (0.2-2 V) in previously described devices are much higher than …
typical switching voltages (0.2-2 V) in previously described devices are much higher than …
[HTML][HTML] Neurohybrid memristive CMOS-integrated systems for biosensors and neuroprosthetics
Here we provide a perspective concept of neurohybrid memristive chip based on the
combination of living neural networks cultivated in microfluidic/microelectrode system, metal …
combination of living neural networks cultivated in microfluidic/microelectrode system, metal …
In‐Memory Vector‐Matrix Multiplication in Monolithic Complementary Metal–Oxide–Semiconductor‐Memristor Integrated Circuits: Design Choices, Challenges, and …
The low communication bandwidth between memory and processing units in conventional
von Neumann machines does not support the requirements of emerging applications that …
von Neumann machines does not support the requirements of emerging applications that …
Organic memory and memristors: from mechanisms, materials to devices
L Yuan, S Liu, W Chen, F Fan… - Advanced Electronic …, 2021 - Wiley Online Library
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 …
Synergistic gating of electro‐iono‐photoactive 2D chalcogenide neuristors: coexistence of hebbian and homeostatic synaptic metaplasticity
Emulation of brain‐like signal processing with thin‐film devices can lay the foundation for
building artificially intelligent learning circuitry in future. Encompassing higher functionalities …
building artificially intelligent learning circuitry in future. Encompassing higher functionalities …