Neuroscience uses cellular and molecular biology, anatomy physiology, human behavior cognition, other disciplines to map the brain at a mechanistic level. Mapping all cell-to-cell communication networks — circuits that process thoughts, emotions, behaviors is one of most significant challenges contemporary neuroscience. Neuroplasticity, brain's capacity form new neural connections circuits, sta...

In recent years, deep learning has revolutionized machine and its applications, producing results comparable to human experts in several domains, including neuroscience. Each year, hundreds of scientific publications present applications neural networks for biomedical data analysis. Due the fast growth domain, it could be a complicated extremely time-consuming task worldwide researchers have cl...

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Due to the advent of modern neuroscience, several scientific disciplines have developed entirely new theories, perspectives, and methodologies. The substantial advances discoveries made in this field over last decades, especially those concerned with human cognition behavior, steered course many traditional research areas given rise others, like neuroethics neurolaw. Here we take a look at some...

this paper summarizes the educational implications of current research on cognitive neuroscience for foreign-language learning to provide an overview of myths and realities in this appealing area of research. although the potential benefits of neuroscientific research into language acquisition are great, there are a number of popular myths that none of which are supported by scientific evidence...

Introduction: Computed tomography (CT) is a medical imaging modality that produces 3-D cross-sectional images of tissues using several X-ray projections at different angles. Since its introduction in the 1970s, CT usage has been on the increase for both adults and pediatrics. A major challenge of this modality is the high doses of radiation exposure to patients, especially in p...