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About this Journal

Advances in Artificial Neural Systems is a peer-reviewed, Open Access journal that publishes original research and authoritative reviews on all aspects of the engineering of artificial neural information processing based on the neural paradigm. The neural information processing paradigm rests on the use of large numbers of densely interconnected simple information processing units, and on highly parallel and distributed information processing throughout the system. Similar to natural information processing systems, artificial neural systems have a homogeneous structure, which are highly adaptive and integrate all the information processing for the task from sensing to actuation.

Advances in Artificial Neural Systems is archived in Portico, which provides permanent archiving for electronic scholarly journals, as well as via the LOCKSS initiative. It operates a fully open access publishing model which allows open global access to its published content. This model is supported through Article Processing Charges. For more information on Article Processing charges in general, click here.

Advances in Artificial Neural Systems is included in many leading abstracting and indexing databases including the Science Citation Index Expanded, Scopus, and PubMed. For a complete list of A&I databases that Advances in Artificial Neural Systems is indexed in click here.

Advances in Artificial Neural Systems was founded in 2007 by Professor Joaquin Sitte who served as the Editor-in-Chief of the journal between 2007 and 2011.