In-memory computing with resistive switching devices
Modern computers are based on the von Neumann architecture in which computation and
storage are physically separated: data are fetched from the memory unit, shuttled to the …
storage are physically separated: data are fetched from the memory unit, shuttled to the …
Recent advances and future prospects for memristive materials, devices, and systems
Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …
CMOS technology, which is facing fundamental limitations in its development. Since oxide …
Optoelectronic resistive random access memory for neuromorphic vision sensors
Neuromorphic visual systems have considerable potential to emulate basic functions of the
human visual system even beyond the visible light region. However, the complex circuitry of …
human visual system even beyond the visible light region. However, the complex circuitry of …
Resistive random access memory (RRAM): an overview of materials, switching mechanism, performance, multilevel cell (MLC) storage, modeling, and applications
In this manuscript, recent progress in the area of resistive random access memory (RRAM)
technology which is considered one of the most standout emerging memory technologies …
technology which is considered one of the most standout emerging memory technologies …
A comprehensive review on emerging artificial neuromorphic devices
The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …
efficiency and ultralow power consumption. In the past few decades, neuromorphic …
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 …
Neuromorphic computing using non-volatile memory
Dense crossbar arrays of non-volatile memory (NVM) devices represent one possible path
for implementing massively-parallel and highly energy-efficient neuromorphic computing …
for implementing massively-parallel and highly energy-efficient neuromorphic computing …
Neuro-inspired computing with emerging nonvolatile memorys
S Yu - Proceedings of the IEEE, 2018 - ieeexplore.ieee.org
This comprehensive review summarizes state of the art, challenges, and prospects of the
neuro-inspired computing with emerging nonvolatile memory devices. First, we discuss the …
neuro-inspired computing with emerging nonvolatile memory devices. First, we discuss the …
Face classification using electronic synapses
Conventional hardware platforms consume huge amount of energy for cognitive learning
due to the data movement between the processor and the off-chip memory. Brain-inspired …
due to the data movement between the processor and the off-chip memory. Brain-inspired …
Large-scale and flexible optical synapses for neuromorphic computing and integrated visible information sensing memory processing
Optoelectronic synapses integrating synaptic and optical-sensing functions exhibit large
advantages in neuromorphic computing for visual information processing and complex …
advantages in neuromorphic computing for visual information processing and complex …