The #1 most cited and #1 largest open-access publisher in the category of Neuroscience.
Frontiers in Computational Neuroscience is devoted to promoting theoretical modeling of brain function and fostering interdisciplinary interactions between theoretical and experimental neuroscience. Progress in understanding the amazing capabilities of the brain is still limited, and we believe that it will only come with deep theoretical thinking and mutually stimulating cooperation between different disciplines and approaches. We therefore invite original contributions on a wide range of topics that present the fruits of such cooperation, or provide stimuli for future alliances. We aim to provide an interactive forum for cutting-edge theoretical studies of the nervous system, and for promulgating the best theoretical research to the broader neuroscience community. Models of all styles and at all levels are welcome, from biophysically motivated realistic simulations of neurons and synapses to high-level abstract models of inference and decision making. While the journal is primarily focused on theoretically based and driven research, we welcome experimental studies that validate and test theoretical conclusions.
Frontiers in Computational Neuroscience is member of the Committee on Publication Ethics.
Short Name: Front. Comput. Neurosci.
Electronic ISSN: 1662-5188
Indexed in: PubMed, PubMed Central, Scopus, Web of Science, Google Scholar, DOAJ, CrossRef, EMBASE, as well as being searchable via the Web of Knowledge, dblp
PMCID: all published articles receive a PMCID
Frontiers in Computational Neuroscience welcomes submissions of the following article types: Book Review, Correction, Data Report, Editorial, General Commentary, Hypothesis & Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Protocols, Review, Specialty Grand Challenge and Technology Report.
All manuscripts must be submitted directly to Frontiers in Computational Neuroscience, where they are peer-reviewed by the Associate and Review Editors of the specialty journal.
Articles published in Frontiers in Computational Neuroscience will benefit from the Frontiers impact and tiering system after online publication. Authors of published original research with the highest impact, as judged democratically by the readers, will be invited by the Chief Editor to write a Frontiers Focused Review - a tier-climbing article. This is referred to as "democratic tiering". The author selection is based on article impact analytics of original research published in the Frontiers specialty journals and sections. Focused Reviews are centered on the original discovery, place it into a broader context, and aim to address the wider community of the field.