A survey and perspective on neuromorphic continual learning systems. [PDF]
Front Neurosci, 2023 Mishra R, Suri M.
europepmc +1 more source
Memristor-Based Signal Processing for Compressed Sensing. [PDF]
Nanomaterials (Basel), 2023 Wang R +6 more
europepmc +1 more source
, 2015 The human brain is made of a large number of interconnected neural networks which are composed of neurons and synapses. With a low power consumption of only few Watts, the human brain is able to perform computational tasks that are out of reach for today’
Garbin, Daniele
core
Atomic scale memristive photon source. [PDF]
Light Sci Appl, 2022 Cheng B +11 more
europepmc +1 more source
Post-silicon nano-electronic device and its application in brain-inspired chips. [PDF]
Front Neurorobot, 2022 Lv Y +5 more
europepmc +1 more source
Resistive random access memory: introduction to device mechanism, materials and application to neuromorphic computing. [PDF]
Discov Nano, 2023 Zahoor F +6 more
europepmc +1 more source
The origin of the exceptionally low activation energy of oxygen vacancy in tantalum pentoxide based resistive memory. [PDF]
Sci Rep, 2019 Hur JH.
europepmc +1 more source
A study on mechanism of resistance distribution characteristics of oxide-based resistive memory. [PDF]
Sci Rep, 2019 Hur JH, Kim DK.
europepmc +1 more source
Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and training-optimized temporal subsampling. [PDF]
Front Neurosci, 2023 Dorzhigulov A, Saxena V.
europepmc +1 more source
Bipolar Switching Properties and Reaction Decay Effect of BST Ferroelectric Thin Films for Applications in Resistance Random Access Memory Devices. [PDF]
Nanomaterials (Basel)Wang YC +6 more
europepmc +1 more source