Results 41 to 50 of about 9,277,012 (302)

Hippocampal CA1 Neurons Represent Positive Feedback During the Learning Process of an Associative Memory Task

Frontiers in Systems Neuroscience, 2021
The hippocampus is crucial for forming associations between environmental stimuli. However, it is unclear how neural activities of hippocampal neurons dynamically change during the learning process.
Shogo Takamiya, Shogo Takamiya, Kazuki Shiotani, Kazuki Shiotani, Tomoya Ohnuki, Yuma Osako, Yuma Osako, Yuta Tanisumi, Yuta Tanisumi, Shoko Yuki, Hiroyuki Manabe, Junya Hirokawa, Yoshio Sakurai   +12 more
doaj   +1 more source

Constraint satisfaction adaptive neural network and heuristics combined approaches for generalized job-shop scheduling [PDF]

, 2000
Copyright @ 2000 IEEEThis paper presents a constraint satisfaction adaptive neural network, together with several heuristics, to solve the generalized job-shop scheduling problem, one of NP-complete constraint satisfaction problems.
Wang, D, Yang, S
core   +1 more source

Performance of neural network basecalling tools for Oxford Nanopore sequencing

Genome Biology, 2019
Basecalling, the computational process of translating raw electrical signal to nucleotide sequence, is of critical importance to the sequencing platforms produced by Oxford Nanopore Technologies (ONT).
R. Wick, L. Judd, K. Holt
semanticscholar   +1 more source

Neural Networks Architecture Evaluation in a Quantum Computer

, 2017
In this work, we propose a quantum algorithm to evaluate neural networks architectures named Quantum Neural Network Architecture Evaluation (QNNAE). The proposed algorithm is based on a quantum associative memory and the learning algorithm for artificial
da Silva, Adenilton José, de Oliveira, Rodolfo Luan F.   +1 more
core   +1 more source

Spinal Cord Injury in Myelomeningocele: Prospects for Therapy

Frontiers in Cellular Neuroscience, 2020
Myelomeningocele (MMC) is the most common congenital defect of the central nervous system and results in devastating and lifelong disability. In MMC, the initial failure of neural tube closure early in gestation is followed by a progressive prenatal ...
Karolina Janik, Meredith A. Manire, George M. Smith, Barbara Krynska   +3 more
doaj   +1 more source

Modelling the permeability of polymers: a neural network approach [PDF]

, 1994
In this short communication, the prediction of the permeability of carbon dioxide through different polymers using a neural network is studied. A neural network is a numeric-mathematical construction that can model complex non-linear relationships.
Bos, A., Bos, A., Bos, M., Mulder, M.H.V., van der Linden, M.K.T., van der Linden, W.E., Wessling, Matthias   +6 more
core   +2 more sources

The neural network art which uses the Hamming distance to measure an image similarity score [PDF]

, 2019
This study reports a new discrete neural network of Adaptive Resonance Theory (ART-1H) in which the Hamming distance is used for the first time to estimate the measure of binary images (vectors) proximity.
Dmitrienko, V. D., Leonov, S. Yu., Zakovorotnyi, A. Yu.   +2 more
core  

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

Mitochondrial fatty acid oxidation is stimulated by red light irradiation

FEBS Letters, EarlyView.
Light at different wavelengths has distinct effects on keratinocyte viability and metabolism. UVA light abrogates metabolic fluxes. Blue and green light have no effect on metabolic fluxes, while red light enhanced oxidative phosphorylation by promoting fatty acid oxidation. Keratinocytes are the primary constituents of sunlight‐exposed epidermis.
Manuel Alejandro Herrera, Camille C. Caldeira da Silva, Maiza Von Dentz, Mauricio S. Baptista, Alicia J. Kowaltowski   +4 more
wiley   +1 more source

From vegetation to vulnerability: Integrating remote sensing and AI to combat cheatgrass-induced wildfire hazards in California

Environmental and Sustainability Indicators
Wildfire risk is on the rise around the world. In places like California, this risk is further instigated by the invasive species cheatgrass (Bromus tectorum).
Srikantnag A. Nagaraja, Istvan Kereszy, Chang Zhao, Imre Bartos   +3 more
doaj   +1 more source