Frontiers Media SA
1662-5137
Yearly
3.1
2007
410215101700
YES
Switzerland
English
YES
Google Scholar
systemsneuroscience.editorial.office@frontiersin.org,systemsneuroscience@frontiersin.org
Frontiers in Systems Neuroscience is a multidisciplinary journal devoted to understanding the whole systems of the brain, such as those involved in spontaneous dynamics in different brain states or in sensation, movement, learning and memory, attention, reward, decision-making, reasoning, executive functions, and emotions. With an international Editorial Board led by Chief Editors Maria V Sanchez-Vives (Biomedical Research Institute August Pi i Sunyer, Spain) and Olivia Gosseries (University of Liège, Belgium), this journal addresses the structural and functional architecture and dynamics of brain systems, as well as the principles of information processing, storage, and retrieval at the systems level. Indexed in PubMed Central (PMC), Scopus, Web of Science (SCIE), and the DOAJ, the journal covers the analysis of individual regions and multiple levels and nodes of information processing. The journal covers the full range of systems neuroscience research, including: cognitive modules that are engaged in specific tasks dynamics of neuronal networks experimental approaches involving different techniques ranging from single neurons recordings to full brain electrophysiology or imaging experimental, computational and combined approaches to systems neuroscience information processing and computations in neural circuits short- and long-term changes in circuits that arise during activity-dependent development and plasticity studies of brain function in physiological versus pathological conditions studies of spontaneous and evoked activity, including sleep studies. Frontiers in Systems Neuroscience is also interested in approaches addressing the following: cellular analyses of reduced preparations that leave intact key computation elements computational studies that complement experiments to better understand the emergent transformations in brain systems multiple analysis approaches to better understand brain function during multiple form and time scales of information processing – in the normal and diseased brain and any species recent advances in high-resolution imaging of brain activity and structure at network, cellular, and sub-cellular levels, along with the application of molecular tools single-cell responses in alert primates. The journal also welcomes submissions that advance the UN's Sustainable Development Goals (SDGs), specifically SDG 3: good health and well-being, promoting our biological understanding of brain health.
Modularity is a fundamental concept in systems neuroscience, referring to the formation of local cliques or modules of densely intra-connected nodes that are sparsely inter-connected with no...
Graph analysis has become an increasingly popular tool for characterizing topological properties of brain connectivity networks. Within this approach, the brain is modeled as a graph compris...
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