Hydrogel‐Based Artificial Synapses for Sustainable Neuromorphic Electronics

J Yan, JPK Armstrong, F Scarpa… - Advanced …, 2024 - Wiley Online Library
Hydrogels find widespread applications in biomedicine because of their outstanding
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

MM Smith, J Melrose - International Journal of Molecular Sciences, 2024 - mdpi.com
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 …

Enhanced electrical and magnetic properties of (Co, Yb) co-doped ZnO memristor for neuromorphic computing

N Elboughdiri, S Iqbal, S Abdullaev, M Aljohani… - RSC …, 2023 - pubs.rsc.org
We investigate the morphological, electrical, magnetic, and resistive switching properties of
(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 …

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 …

Optimizing memristor-based synaptic devices for enhanced energy efficiency and accuracy in neuromorphic machine learning

B Gökgöz, T Aydın, F Gül - IEEE Access, 2024 - ieeexplore.ieee.org
The traditional Von Neumann computing architecture, which necessitates data transfer
between external memory and the processor, incurs significant energy and time costs when …

Emerging functions of two-dimensional materials in memristive neurons

Y Hong, Y Liu, R Li, H Tian - Journal of Physics: Materials, 2024 - iopscience.iop.org
Neuromorphic computing (NC), considered as a promising candidate for future computer
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 …

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 …

Leaky integrate‐and‐fire model and short‐term synaptic plasticity emulated in a novel bismuth‐based diffusive memristor

P Zawal, G Abdi, M Gryl, D Das… - Advanced Electronic …, 2024 - Wiley Online Library
Memristors, being prospective work‐horses of future electronics offer various types of
memory (volatile and nonvolatile) along with specific computational functionalities. Further …