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139  Articles
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The results of electrophysiological studies of the quantal release features of glutamate in hippocampal neurons' synapses in long-term depression of synaptic transmission are presented.To research the topic, weused the primary culture of the rat hipp... see more

The emerging resistive switching devices have attracted broad interest as promising candidates for future memory and computing applications. Particularly, it is believed that memristor-based neuromorphic engineering promises to enable efficient artificial... see more

Synaptic vesicle fusion is mediated by an assembly of soluble N-ethylmaleimide-sensitive fusion protein attachment protein receptors (SNAREs), composed of syntaxin 1, soluble NSF-attachment protein (SNAP)-25, and synaptobrevin-2/VAMP-2. Previous studies h... see more

An increased intake of the antioxidant α-Tocopherol (vitamin E) is recommended in complicated pregnancies, to prevent free radical damage to mother and fetus. However, the anti-PKC and antimitotic activity of α-Tocopherol raises concerns about its poten... see more

In this paper I propose a hypothetical model of mental causation that I call semantic pruning and which could be defined as the causal influence of contents and meanings on the spatial configuration of the network of synapses of an individual. I... see more

The algorithm to train artificial neural networks for intelligent decision support systems has been constructed. A distinctive feature of the proposed algorithm is that it conducts training not only for synaptic weights of an artificial neural network, bu... see more

Autism spectrum disorders (ASD) are a range of high prevalent disorders that can be characterized as a syndrome of social communication deficits, repetitive behavior or restrictive interest. Rapid advance beyond environmental influence is made through ide... see more

Artificial neural networks are composed of interconnecting artificial neurons (programming constructs that mimic the properties of biological neurons). Artificial neural networks may either be used to gain an understanding of biological neural networks, o... see more

Objective Parkinson's disease (PD) is a neurodegenerative disease caused by degeneration of dopaminergic neurons in the substantia nigra pars compacta and decreased levels of striatal dopamine. Previous studies have confirmed that striatum dysfunction is ... see more

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