[ Your Name ] would like to inform you about this article on Complexity Digest 2009.03 - 14 http://comdig.unam.mx/index.php?id_issue=2009.03#32019 2009/01/30 [ Your Message ] It is with great sadness that I announce the passing of my friend and founding editor, Dr Gottfried Mayer on January 25, 2009 in Taipei, Taiwan. He had been battling numerous cancers with his intellect, guidance from complexity science and his strength. But the fight was concluded attended at his bedside with his wife, Yeou-Teh, and daughter, Stephanie. Complexity Digest is Gottfried's creation. It was his vision that work was being done all over the world which needed to be brought into the community's network to solve problems. His own scientific sweep was a demonstration of the multi-disciplinary, rapid response features that became the hallmark of each weekly issue reaching over 10k members dedicated to furthering complexity. He trained a small international team of editors to write concise, summaries of important articles. And he partnered with me on what more we could do whether exploring new media like video, partnering with other institutions or finding ways to preserve the services of Complexity Digest beyond the lives of any of us. And Gottfried triumphed is setting the course for ComDig's next phase. The editor's burdens are being assumed by Carlos Gershenson who has been writing for the publication since 2001. The publisher is the Universidad Nacional Autónoma de México (UNAM), the leading university in Latin America, and its new Center of Complexity Sciences. This exciting group will impact complexity both through its own research and in acting as a source of inspiration for others in its publication efforts. Publication will be on a bi-weekly basis and you can expect to find Complexity Digest continue to be useful in your work....the spirit of Gottfried will be present to guide us by continuing to be on the masthead as founding editor. Dean LeBaron Neural Networks as dynamical systems, arXiv Abstract: We consider neural networks from the point of view of dynamical systems theory. In this spirit we review recent results dealing with the following questions, adressed in the context of specific models. 1. Characterizing the collective dynamics; 2. Statistical analysis of spikes trains; 3. Interplay between dynamics and network structure; 4. Effects of synaptic plasticity. Source: Neural Networks as dynamical systems[ http://uk.arXiv.org/abs/0901.2203 ], B. Cessac, DOI: 0901.2203, arXiv [Review paper], 2009/01/15 You can discuss this article on Articles Forum http://comdig.unam.mx/topic.php?id_article=32019