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The Official Journal of the International Neural Network Society, European Neural Network Society and Japanese Neural Network Society

Aims and scope
Neural Networks is the archival journal of the world's oldest neural modeling society: the International Neural Network Society. A subscription to the journal can be gotten at a modest fee by joining INNS at http://www.inns.org.

Neural Networks is unique in its range and provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of neural networks and related approaches to computational intelligence. Neural Networks welcomes high quality articles that contribute to the full range of neural networks research, ranging from behavioral and brain modeling, through mathematical and computational analyses, to engineering and technological applications of systems that significantly use neural network concepts and algorithms. This broad range facilitates the cross-fertilization of ideas between biological and technological studies, and helps to foster the development of a new interdisciplinary community that is interested in biologically-inspired computational intelligence. Accordingly, the Neural Networks editorial board represents experts in fields including psychology, neurobiology, computer science, engineering, mathematics, and physics. The journal publishes current opinions, contributed articles, invited articles, letters to the editor, special issues, book reviews, editorials, current events, software surveys, and patent information. Articles are published in one of five sections: psychology and cognitive science, neuroscience and neuropsychology, mathematical and computer analysis, engineering and design, and technology and applications.

Neural Networks is published ten times each year. The publisher of Neural Networks, Elsevier Science, is the largest scientific publisher in the world. Its Science Direct (http://www.sciencedirect.com/) is used by over eight million individuals world-wide and provides unrivalled electronic access to articles that are published in Neural Networks. In addition, contributions to Neural Networks can now be submitted electronically by using the Elsevier EES system: http://ees.elsevier.com/neunet/. Follow the link to this pdf document for information on how to access Neural Networks online.

Electronic submission of articles to Neural Networks: Instructions to authors

Articles in Neural Networks are organized into the five sections:

Psychology and Cognitive Science
Neuroscience and Neuropsychology
Mathematical and Computational Analysis
Engineering and Design
Technology and Applications

ANNOUNCEMENTS
INNS Member Subscription Policy
Membership with subscription fees for January to December include a 1-year subscription to the journal Neural Networks. Memberships received after October 1, will begin in January, unless designated by the member.

Register for ContentsDirect for Neural Networks!
Neural Networks is now available via ContentsDirect, Elsevier Science's FREE online, e-mail alerting service. Approximately 2-4 weeks prior to each issue's publication you will receive the issue's table of contents - directly to your desktop. Register for this service now at: http://contentsdirect.elsevier.com/AboutContentsDirect.html.

STEPHEN GROSSBERG
Boston University
Co-Editor-in-Chief

KENJI DOYA
Okinawa Institute of Science and Technology
Uruma, Okinawa
Co-Editor-in-Chief

JOHN TAYLOR
King's College London
Co-Editor-in-Chief

 
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