Neural Networks Journal

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About Neural Networks

Neural Networks is the archival journal of the world's three oldest neural modeling societies: the International Neural Network Society, the European Neural Network Society, and the Japanese Neural Network Society.

Neural Networks 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 submissions that contribute to the full range of neural networks research, from behavioral and brain modeling, learning algorithms, through mathematical and computational analyses, to engineering and technological applications of systems that significantly use neural network concepts and techniques. 

This uniquely broad range facilitates the cross-fertilization of ideas between biological and technological studies, and helps to foster the development of the 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 articles, letters, reviews, and current opinions, as well as letters to the editor, book reviews, editorials, current events, software surveys, and patent information. Articles are published in one of five sections: Cognitive Science, Neuroscience, Learning Systems, Mathematical and Computational Analysis, Engineering and Applications.


The journal is published twelve times a year. Neural Networks can be accessed electronically via Science Direct, which is used by over eight million individuals worldwide.

All INNS members receive an online subscription to Neural Networks. Only Regular and Senior members and Fellows receive a print subscription. Click here for information on how to access Neural Networks online.

INNS memberships received after October 1 will receive their first issue of Neural Networks in January, unless designated by the member.

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 here


Contributions to Neural Networks can now be submitted electronically by using the Elsevier EES system

Instructions to authors can be found here.


Editors-in-Chief of Neural Networks

DeLiang Wang
The Ohio State University
Columbus, USA

Taro Toyoizumi
RIKEN Center for Brain Science
Saitama, Japan