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Journal Photo for Journal of Neuroscience
Peer reviewed only Open Access

Journal of Neuroscience (JN)

Publisher : Society for Neuroscience
molecular cellular developmental
e-ISSN 1529-2401
Issue Frequency weekly
Impact Factor 4.4
Est. Year 1981
Mobile 2029624000
Country United States
Language English
APC YES
Impact Factor Assignee Google Scholar
Email info@sfn.org

Journal Descriptions

The Journal of Neuroscience is an official journal of the Society for Neuroscience (SfN). JNeurosci seeks to advance neuroscience research by publishing and widely disseminating high-quality research representative of the breadth of neuroscience; ensuring transparent, rapid, and fair peer review; and providing outlets for open discussion and debate that are not available elsewhere. JNeurosci is a transdisciplinary journal and welcomes contributions from the broad field including (but not limited to) molecular, cellular, developmental, systems, behavioral, cognitive, computational, integrative, translational, and clinical neuroscience. JNeurosci’s editorial leadership is composed of active scientists. We are committed to publishing novel and rigorous studies that significantly advance our knowledge and that appeal collectively to the values and interests of the entire neuroscience community.

Journal of Neuroscience (JN) is :-

  • International, Peer-Reviewed, Open Access, Refereed, molecular, cellular, developmental, systems, behavioral, cognitive, computational, integrative, translational, clinical neuroscience , Online , weekly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 1529-2401, Established: 1981, Impact Factor: 4.4
  • Does Not Provide Crossref DOI
  • Indexed in: Scopus, WoS, PubMed

  • Not indexed in DOAJ, UGC CARE

Indexing

Publications of JN

John Suckling January, 2006
Small-world properties have been demonstrated for many complex networks. Here, we applied the discrete wavelet transform to functional magnetic resonance imaging (fMRI) time series, acquired...
Edward T. Bullmore July, 2010
Schizophrenia has often been conceived as a disorder of connectivity between components of large-scale brain networks. We tested this hypothesis by measuring aspects of both functional conne...
Edward T. Bullmore September, 2008
The complex organization of connectivity in the human brain is incompletely understood. Recently, topological measures based on graph theory have provided a new approach to quantify large-sc...
Edward T. Bullmore February, 2013
Large-scale covariance of cortical thickness or volume in distributed brain regions has been consistently reported by human neuroimaging studies. The mechanism of this population covariance ...
Edward T. Bullmore June, 2011
Effortful cognitive performance is theoretically expected to depend on the formation of a global neuronal workspace. We tested specific predictions of workspace theory, using graph theoretic...