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Hydrogel‐Based Artificial Synapses for Sustainable Neuromorphic Electronics
Hydrogels find widespread applications in biomedicine because of their outstanding
biocompatibility, biodegradability, and tunable material properties. Hydrogels can be …
biocompatibility, biodegradability, and tunable material properties. Hydrogels can be …
Lumican, a multifunctional cell instructive biomarker proteoglycan has novel roles as a marker of the hypercoagulative state of long COVID disease
This study has reviewed the many roles of lumican as a biomarker of tissue pathology in
health and disease. Lumican is a structure regulatory proteoglycan of collagen-rich tissues …
health and disease. Lumican is a structure regulatory proteoglycan of collagen-rich tissues …
Enhanced electrical and magnetic properties of (Co, Yb) co-doped ZnO memristor for neuromorphic computing
We investigate the morphological, electrical, magnetic, and resistive switching properties of
(Co, Yb) co-ZnO for neuromorphic computing. By using hydrothermal synthesized …
(Co, Yb) co-ZnO for neuromorphic computing. By using hydrothermal synthesized …
Dynamical rewiring promotes synchronization in memristive FitzHugh-Nagumo neuronal networks
X Hu, Q Ding, Y Wu, W Huang, L Yang, Y Jia - Chaos, Solitons & Fractals, 2024 - Elsevier
Dynamical rewiring widely exists in complex systems, however the impact of dynamical
rewiring in the synchronization of neural systems is currently unknown. In this paper, we use …
rewiring in the synchronization of neural systems is currently unknown. In this paper, we use …
A physical memristor-based chaotic system and its application in colour image encryption scheme
P Das, S Mandal - Physica Scripta, 2023 - iopscience.iop.org
This work proposes a physical memristor (TaOx) based new 4D chaotic system with 3D multi-
scroll, no equilibrium point, spiking behaviour, coexistence bursting oscillation and …
scroll, no equilibrium point, spiking behaviour, coexistence bursting oscillation and …
Optimizing memristor-based synaptic devices for enhanced energy efficiency and accuracy in neuromorphic machine learning
The traditional Von Neumann computing architecture, which necessitates data transfer
between external memory and the processor, incurs significant energy and time costs when …
between external memory and the processor, incurs significant energy and time costs when …
Emerging functions of two-dimensional materials in memristive neurons
Neuromorphic computing (NC), considered as a promising candidate for future computer
architecture, can facilitate more biomimetic intelligence while reducing energy consumption …
architecture, can facilitate more biomimetic intelligence while reducing energy consumption …
Do** induced enhancement of resistive switching responses in ZnO for neuromorphic computing
NU Rahman, MA Mahmood, N Rahman… - Journal of Materials …, 2024 - Springer
We examine the morphological, magnetic and resistive switching characteristics of ZnO co-
doped with both cobalt (Co) and gadolinium (Gd) for the purpose of Neuromemristive …
doped with both cobalt (Co) and gadolinium (Gd) for the purpose of Neuromemristive …
Bioplausible Synaptic Behavior of Al/Gd0.3Ca0.7MnO3/Au Memristive Devices for Unsupervised Spiking Neural Networks
T Hynnä, A Schulman, V Lähteenlahti… - ACS Applied …, 2023 - ACS Publications
Inspired by the biological nervous system, unsupervised spiking neural networks (SNNs)
with the spike-timing-dependent plasticity (STDP) learning rule have been considered as the …
with the spike-timing-dependent plasticity (STDP) learning rule have been considered as the …
Leaky integrate‐and‐fire model and short‐term synaptic plasticity emulated in a novel bismuth‐based diffusive memristor
Memristors, being prospective work‐horses of future electronics offer various types of
memory (volatile and nonvolatile) along with specific computational functionalities. Further …
memory (volatile and nonvolatile) along with specific computational functionalities. Further …