Results 41 to 50 of about 79,718 (282)
Thrombin generation remains stable in frozen plasma over long-term storage
Background: The ST Genesia is a fully automated thrombin generation (TG) device. Measuring TG can be useful for medical purposes as it is an indicator for the bleeding or thrombotic risk of a patient.
A. Carlo +3 more
doaj +1 more source
The role of neural network modeling in the learning content of the special course "Foundations of Mathematical Informatics" was discussed. The course was developed for the students of technical universities - future IT-specialists and directed to ...
Markova, Oksana +2 more
core +1 more source
Spin-Based Neuron Model with Domain Wall Magnets as Synapse
We present artificial neural network design using spin devices that achieves ultra low voltage operation, low power consumption, high speed, and high integration density.
Augustine, Charles +3 more
core +1 more source
ABSTRACT Background Emerging evidence suggests that low‐frequency neural oscillations are dynamically regulated by consciousness levels, with the recovery of low cortical activity potentially serving as a neurophysiological substrate for conscious emergence. Targeted enhancement of these low‐frequency rhythms in patients with disorders of consciousness
Chuan Xu +10 more
wiley +1 more source
IntroductionUnfolded Von Willebrand Factor (VWF) is increased in thrombotic pathologies such as myocardial infarction. Unfolded VWF mediates the binding of platelets without the need for collagen.
Romy de Laat-Kremers +9 more
doaj +1 more source
Substrate-morphology driven tunable nanoscale artificial synapse
Two-terminal memristive devices are considering as a potential candidate to mimic human brain functionality to enable artificial intelligence. Particularly, two-terminal nanoscale devices are regarded as a promising solution for implementing bio-synapses
Shahid Iqbal +4 more
doaj +1 more source
Evolving Dendritic Morphologies Highlight the Impact of Structured Synaptic Inputs on Neuronal Performance [PDF]
Acknowledgements I would like to express my sincere gratitude to Dr.
Kagdi, Mohammad Ziyad
core +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Memristor bridge synapse for better artificial neuron perceptron
In artificial neural networks, the fourth passive element memristor can be utilized as an electronic synapse that serves as the interface between neurons.
Nuo Wang +5 more
doaj +1 more source
NOR-Type 3-D Synapse Array Architecture Based on Charge-Trap Flash Memory
In this work, we proposed a three-dimensional (3-D) channel stacked array architecture based on charge-trap flash (CTF) memory for an artificial neural network accelerator.
Jung Nam Kim +5 more
doaj +1 more source

