SAGE Publications
1089-4098
Bi-Monthly
3.6
1073-8584
1995
01140539222
YES
United States
English
YES
Google Scholar
theneuroscientist@yale.edu
The state-of-the-art reviews published in The Neuroscientist keep you up-to-date on the advances emerging in the neurosciences and related disciplines. The journal reviews and evaluates the noteworthy advances and key trends in molecular, cellular, developmental, behavioral/systems, and cognitive neuroscience in a unique disease-relevant format. Edited by Stephen G. Waxman of Yale University School of Medicine with help from a renowned international editorial board that includes Nobel Prize winners and experts from top universities from around the world, The Neuroscientist reviews and evaluates the noteworthy advances and key trends in molecular, cellular, developmental, behavioral/systems, and cognitive neuroscience in a unique disease-relevant format. Aimed at basic neuroscientists, neurologists, neurosurgeons, and psychiatrists in research, academic, and clinical settings, The Neuroscientist reviews and updates the most important new and emerging basic and clinical neuroscience research, focusing on original and innovative topics such as: Neural transplantation, stem cells, and neurogenesis Development and aging of the brain Trophic and growth factors; guidance molecules Channels, receptors and transmitters Neural plasticity and regeneration Applications of neurobiology to diagnosis and therapy of diseases of the brain and spinal cord Functional imaging and cognitive neuroscience Molecular and cellular mechanisms of disease Neural substrates of behavior and behavioral disorders Computational neuroscience Genetics of neurologic and psychiatric diseases The Neuroscientist's reviews and updates have been written by the world’s most respected authors, including: Lorne Mendell, Michael Moskowitz, Eric Nestler, Richard Frackowiak, Gordon Shepherd, Charles Gross, Steven Hyman, Rob Malenka, Anne Young, Stuart Lipton, Michael Gazzaniga, Jon Kaaas, and Semir Zeki.
Many complex networks have a small-world topology characterized by dense local clustering or cliquishness of connections between neighboring nodes yet a short path length between any (distan...
It is nearly 20 years since the concept of a small-world network was first quantitatively defined, by a combination of high clustering and short path length; and about 10 years since this me...
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