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The focus of translational neuroscience research is to investigate the molecular mechanisms for these disorders, and to investigate the mechanisms of drug delivery to treat these disorders, including an investigation into the impact of the blood-brain barrier on drug delivery, and the role of the body's immune system in neurodegenerative disorders.
This brings a highly developed mathematics to bear on the problem of information transfer. The accompanying taxonomy of linear filters turns out to be useful in characterizing neural circuitry. Both low- and high-pass filters are postulated to exist in some form in sensory systems, as they act to prevent information loss in high and low ...
Neuroscience is the scientific study of the nervous system (the brain, spinal cord, and peripheral nervous system), its functions, and its disorders. [1] [2] [3] It is a multidisciplinary science that combines physiology, anatomy, molecular biology, developmental biology, cytology, psychology, physics, computer science, chemistry, medicine, statistics, and mathematical modeling to understand ...
The Neuroscience Information Framework is a repository of global neuroscience web resources, including experimental, clinical, and translational neuroscience databases, knowledge bases, atlases, and genetic/genomic resources and provides many authoritative links throughout the neuroscience portal of Wikipedia.
Computational neuroscience (also known as theoretical neuroscience or mathematical neuroscience) is a branch of neuroscience which employs mathematics, computer science, theoretical analysis and abstractions of the brain to understand the principles that govern the development, structure, physiology and cognitive abilities of the nervous system.
The Journal of Neural Transmission is a monthly peer-reviewed medical journal covering clinical neurology and translational neuroscience. It was established in 1950 by Carmen Coronini and Alexander Sturm as Acta Neurovegetativa. [1] It was renamed to the Journal of Neuro-Visceral Relations in 1968 and to its current title in 1972.
An attractor network is a type of recurrent dynamical network, that evolves toward a stable pattern over time.Nodes in the attractor network converge toward a pattern that may either be fixed-point (a single state), cyclic (with regularly recurring states), chaotic (locally but not globally unstable) or random (). [1]
The field of neural engineering draws on the fields of computational neuroscience, experimental neuroscience, neurology, electrical engineering and signal processing of living neural tissue, and encompasses elements from robotics, cybernetics, computer engineering, neural tissue engineering, materials science, and nanotechnology.