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About this Journal

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

Advances in Artificial Neural Systems currently has an acceptance rate of 24%. The average time between submission and final decision is 60 days and the average time between acceptance and final publication is 34 days.