期刊名称：Neural Information Processing: Letters and Reviews
电子版ISSN：1738-2532
出版年度：2007
卷号：11
期号：4-6
页码：61-62
出版社：Neural Information Processing
摘要：Biologically motivated systems have been proposed to overcome the limitations of conventional approaches in
many engineering areas. Recent research has been directed towards developing a more human-like machine
based on understanding of human brain. In order to develop a truly human-like machine, we need to reduce a
large gab between biological principles and the artificial neural networks. The more intelligence we would like
to incorporate into artificial intelligent systems, the more biologically-inspired models and hardware are required.
Fortunately the cognitive neuroscience has been developed enormously during the last decade, and engineers
now have more to learn from the science. In this special issue, we invite contributions on artificial brain with
emotion and learning with more human-like traits for real world applications.
