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Journals Detail

Journal: Network Neuro Science

Online ISSN: 2472-1751

Print ISSN: Not Provided

Publisher Name: The MIT Press

Starting Year: 2017

Website URL: https://direct.mit.edu/netn

Country: United Kingdom

Email: editor@

Research Discipline Engineering and Technology

Frequency: Yearly

Research Language: English

About Journal:

Network Neuroscience features innovative scientific work that significantly advances our understanding of network organization and function in the brain across all scales, from molecules and neurons to circuits and systems.

Positioned at the intersection of brain and network sciences, the journal covers empirical and computational studies that record, analyze or model relational data among elements of neurobiological systems, including neuronal signaling and information flow in circuits, patterns of functional connectivity recorded with electrophysiological or imaging methodology, studies of anatomical connections among neurons and brain regions, and interactions among biomolecules or genes. The journal aims to cover studies carried out in all neurobiological systems and all species, including humans.

Network Neuroscience publishes Research, Methods, Data, Review and Perspective articles.

Aims and Scope
Network Neuroscience aims to publish innovative scientific work that significantly advances our understanding of network organization and function in the brain across all scales, from molecules and neurons to circuits and systems.

Positioned at the intersection of brain and network sciences, the journal covers empirical and computational studies that record, analyze or model relational data capturing connections and interactions among elements of neurobiological systems. Examples include neuronal signaling and information flow in circuits, patterns of functional connectivity recorded with electrophysiological or imaging methodology, studies of anatomical connections among neurons and brain regions, and interactions among biomolecules or genes. The journal aims to cover studies carried out in all neurobiological systems and all species, including humans. Articles addressing developmental, evolutionary, social, and clinical/translational aspects of neurobiological networks as well as articles describing significant new network data, tools and methods are welcome.