This issue begins the twentieth year of publication for Neural Networks, which is the leading journal in the world that covers the full range of neural networks and related research from all the areas of psychology and cognitive science, neuroscience and neuropsychology, mathematical and computational analysis, engineering and design, and technology and applications. As the archival journal of the International Neural Network Society (INNS), the European Neural Network Society (ENNS), and the Japanese Neural Network Society (JNNS), Neural Networks encourages all of our neural modeling colleagues to send in their best results as contributed articles to the journal both directly and through contributions to the journal's Special Issues. We are eager to rapidly publish leading research breakthroughs in the Neural Networks Letters section. We look forward to being able to continue to support the research of all of our neural modeling colleagues, and to help keep our journal the premier interdisciplinary journal publishing the full range of highquality neural network research papers.
This year, Professor Mitsuo Kawato stepped down as Co-Editor-in-Chief of Neural Networks for JNNS after fifteen years of distinguished leadership and service. The journal and all three societies INNS, ENNS, and JNNS are grateful to him for his contributions to the journal and our community. Professor Kenji Doya, who is the Head of the Department of Computational Neurobiology at the Okinawa Institute of Science and Technology, begins his term as Co-Editor-in-Chief on January 1, 2008. Professor Doya's research career developed with Neural Networks. Two of his major studies, one on the learning algorithms of the cerebellum, the basal ganglia, and the cerebral cortex, and another on the roles of neuromodulators in meta-learning, were first published as articles in Neural Networks Special Issues. He has served as an action editor since 1994 and was a guest editor for the Special Issue on Neuromodulation in 2002. The three Co-Editors-in-Chief will be taking this opportunity to plan new initiatives to make Neural Networks an even more useful resource for the biological and technological modeling communities.
Another noteworthy event this year was the adoption of a fully electronic submission and review process, which is part of the Electronic Editorial System (EES) of the Neural Networks publisher, Elsevier Science. Elsevier has carefully adapted this