Review of resistive switching mechanisms for memristive neuromorphic devices
R Yang - Chinese Physics B, 2020 - iopscience.iop.org
Memristive devices have attracted intensive attention in developing hardware neuromorphic
computing systems with high energy efficiency due to their simple structure, low power …
computing systems with high energy efficiency due to their simple structure, low power …
Nebula: a neuromorphic spin-based ultra-low power architecture for snns and anns
Brain-inspired cognitive computing has so far followed two major approaches-one uses
multi-layered artificial neural networks (ANNs) to perform pattern-recognition-related tasks …
multi-layered artificial neural networks (ANNs) to perform pattern-recognition-related tasks …
Flexible full two-dimensional memristive synapses of graphene/WSe 2− x O y/graphene
HK He, FF Yang, R Yang - Physical Chemistry Chemical Physics, 2020 - pubs.rsc.org
van der Waals heterostructures realized by stacking different two-dimensional materials offer
the possibility to design new devices with atomic-level precision. The realization of …
the possibility to design new devices with atomic-level precision. The realization of …
Neuromorphic circuits on segmented crossbar architectures with enhanced properties
V Ntinas, P Karakolis, GC Sirakoulis… - … Conference on Circuit …, 2020 - ieeexplore.ieee.org
General purpose processors have been used in a wide variety of computational and
modeling applications. However, their performance is not always sufficient when simulating …
modeling applications. However, their performance is not always sufficient when simulating …
Memristors: Understanding, utilization and upgradation for neuromorphic computing
M Bharathi, Z Wang, B Guo, B Balraj, Q Li, J Shuai… - Nano, 2020 - World Scientific
The next generation of artificial intelligence systems is generally governed by a new
electronic element called memristor. Memristor-based computational system is responsible …
electronic element called memristor. Memristor-based computational system is responsible …
Powering next-generation artificial intelligence by designing three-dimensional high-performance neuromorphic computing system with memristors
H An - 2020 - vtechworks.lib.vt.edu
Human brains can complete numerous intelligent tasks, such as pattern recognition,
reasoning, control and movement, with remarkable energy efficiency (20 W). In contrast, a …
reasoning, control and movement, with remarkable energy efficiency (20 W). In contrast, a …
Introductory Chapter: Challenges in Neuro-Memristive Circuit Design
A James - Memristors: Circuits and Applications of Memristor …, 2020 - books.google.com
The ability of the memristors to change its conductance ie behaves like a resistor, and yet be
able to remain in that conductive state, be able to change the state based on a control …
able to remain in that conductive state, be able to change the state based on a control …