Results 51 to 60 of about 296,489 (278)

Recurrent Quantum Neural Networks

CoRR, 2020
22 ...
openaire   +3 more sources

Reciprocal control of viral infection and phosphoinositide dynamics

FEBS Letters, EarlyView.
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley   +1 more source

Refinement of matching costs for stereo disparities using recurrent neural networks

EURASIP Journal on Image and Video Processing, 2021
Depth is essential information for autonomous robotics applications that need environmental depth values. The depth could be acquired by finding the matching pixels between stereo image pairs. Depth information is an inference from a matching cost volume
Alper Emlek, Murat Peker
doaj   +1 more source

Organ‐specific redox imbalances in spinal muscular atrophy mice are partially rescued by SMN antisense oligonucleotides

FEBS Letters, EarlyView.
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley   +1 more source

Universal approximation property of stochastic configuration networks for time series

Industrial Artificial Intelligence
For the purpose of processing sequential data, such as time series, and addressing the challenge of manually tuning the architecture of traditional recurrent neural networks (RNNs), this paper introduces a novel approach-the Recurrent Stochastic ...
Jin-Xi Zhang, Hangyi Zhao, Xuefeng Zhang
doaj   +1 more source

Improving the classification of a nanocomposite using nanoparticles based on a meta-analysis study, recurrent neural network and recurrent neural network Monte-Carlo algorithms

Nanocomposites
This paper may be the first meta-analysis that presents a comprehensive synthesis of scientific works spanning the last five years, focusing on methodologies and results related to the analysis of nanocomposite using nanoparticles.
Rania Loukil, Wejden Gazehi, Mongi Besbes   +2 more
doaj   +1 more source

Comparing feedforward and recurrent neural network architectures with human behavior in artificial grammar learning

Scientific Reports, 2020
In recent years artificial neural networks achieved performance close to or better than humans in several domains: tasks that were previously human prerogatives, such as language processing, have witnessed remarkable improvements in state of the art ...
Andrea Alamia, Victor Gauducheau, Dimitri Paisios, Rufin VanRullen   +3 more
doaj   +1 more source

Symplectic Recurrent Neural Networks

CoRR, 2019
Added link to GitHub ...
Zhengdao Chen, Jianyu Zhang, Martín Arjovsky, Léon Bottou   +3 more
openaire   +3 more sources

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Equivalence of Equilibrium Propagation and Recurrent Backpropagation

, 2018
Recurrent Backpropagation and Equilibrium Propagation are supervised learning algorithms for fixed point recurrent neural networks which differ in their second phase.
Bengio, Yoshua, Scellier, Benjamin
core   +1 more source