This book and its sister volume collect refereed papers presented at the
7th Inter- tional Symposium on Neural Networks (ISNN 2010), held in
Shanghai, China, June 6-9, 2010. Building on the success of the previous
six successive ISNN symposiums, ISNN has become a well-established
series of popular and high-quality conferences on neural computation and
its applications. ISNN aims at providing a platform for scientists,
researchers, engineers, as well as students to gather together to
present and discuss the latest progresses in neural networks, and
applications in diverse areas. Nowadays, the field of neural networks
has been fostered far beyond the traditional artificial neural networks.
This year, ISNN 2010 received 591 submissions from more than 40
countries and regions. Based on rigorous reviews, 170 papers were
selected for publication in the proceedings. The papers collected in the
proceedings cover a broad spectrum of fields, ranging from
neurophysiological experiments, neural modeling to extensions and
applications of neural networks. We have organized the papers into two
volumes based on their topics. The first volume, entitled "Advances in
Neural Networks- ISNN 2010, Part 1," covers the following topics:
neurophysiological foundation, theory and models, learning and
inference, neurodynamics. The second volume en- tled "Advance in Neural
Networks ISNN 2010, Part 2" covers the following five topics: SVM and
kernel methods, vision and image, data mining and text analysis, BCI and
brain imaging, and applications.