Results 51 to 60 of about 1,761,761 (285)
Optimal modularity and memory capacity of neural reservoirs
, 2019 The neural network is a powerful computing framework that has been exploited by biological evolution and by humans for solving diverse problems. Although the computational capabilities of neural networks are determined by their structure, the current ...
Ahn, Yong-Yeol +2 more
core +1 more source
Neural Processing Letters, 2002 An associative neural network (ASNN) is an ensemble-based method inspired by the function and structure of neural network correlations in brain. The method operates by simulating the short- and long-term memory of neural networks. The long-term memory is represented by ensemble of neural network weights, while the short-term memory is stored as a pool ...
openaire +4 more sources
Structural biology of ferritin nanocages
FEBS Letters, EarlyView.Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley +1 more source
Contribution of Neuroimaging Studies to Understanding Development of Human Cognitive Brain Functions
Frontiers in Human Neuroscience, 2016 Humans experience significant physical and mental changes from birth to adulthood, and a variety of perceptual, cognitive, and motor functions mature over the course of approximately 20 years following birth.
Tomoyo Morita +4 more
doaj +1 more source
Brain Sciences, 2021 Interhemispheric inhibition (IHI) between the left and right primary motor cortices (M1) plays an important role when people perform an isolated unilateral limb movement. Moreover, negative blood oxygenation-level dependent signal (deactivation) obtained
Eiichi Naito +3 more
doaj +1 more source
Analyzing and Interpreting Neural Networks for NLP: A Report on the First BlackboxNLP Workshop
, 2019 The EMNLP 2018 workshop BlackboxNLP was dedicated to resources and techniques specifically developed for analyzing and understanding the inner-workings and representations acquired by neural models of language.
Alishahi, Afra +2 more
core +1 more source
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
Human brain activity reflecting facial attractiveness from skin reflection
Scientific Reports, 2021 Facial attraction has a great influence on our daily social interactions. Previous studies have mainly focused on the attraction from facial shape and expression. We recently found that faces with radiant skin appear to be more attractive than those with
Yuichi Sakano +5 more
doaj +1 more source
eLife, 2021 The hippocampus is critical for memory formation. The hypothalamic supramammillary nucleus (SuM) sends long-range projections to hippocampal area CA2. While the SuM-CA2 connection is critical for social memory, how this input acts on the local circuit is
Vincent Robert +10 more
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Neural DAEs: Constrained Neural Networks
SIAM Journal on Scientific ComputingThis article investigates the effect of explicitly adding auxiliary algebraic trajectory information to neural networks for dynamical systems. We draw inspiration from the field of differential-algebraic equations and differential equations on manifolds and implement related methods in residual neural networks, despite some fundamental scenario ...
Tue Boesen, Eldad Haber, Uri M. Ascher
openaire +3 more sources