Published September, 2010
By Manish I Patel, Manish Patel and Sylvia Nagl
Publisher: Springer (Springer-Verlag Berlin and Heidelberg GmbH & Co. K)
Series: Understanding Complex Systems
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With no similar books on the market, this volume is a welcome addition. Many current methods use 'shallow integration' that employ output-input linking. This book goes further, setting out a systems biology and tumour modeling method called 'deep integration'.

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Published September, 2009
By George Ellis, Nancey Murphy, George F.R. Ellis and Timothy O'Connor
Publisher: Springer (Springer Berlin Heidelberg)
Series: Understanding Complex Systems
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With an all star cast on an extremely hot topic, this book provides an important contribution to the growing interdisciplinary field of free will. Top-down causation is explored, as are the ethical and legal implications of our understanding of free will.

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Published November, 2008
By Syamal K. Dana, Prodyot K. Roy and Jurgen Kurths
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Understanding Complex Systems
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Nonlinear dynamics has become an important field of research in recent years in many areas of the natural sciences. This book focuses on the current trends of research concerning the prediction of sudden cardiac death and the onset of epileptic seizures, using the nonlinear analysis based on ECG and EEG data.

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Published March, 2008
By Rolf P. Würtz
Publisher: Springer (Springer-Verlag Berlin and Heidelberg GmbH & Co. K)
Series: Understanding Complex Systems
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In this book, the major ideas behind Organic Computing are delineated, together with a sparse sample of computational projects undertaken in this new field. Biological metaphors include evolution, neural networks, gene-regulatory networks, networks of brain modules, hormone system, insect swarms, and ant colonies.

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Published January, 2008
By Viktor K. Jirsa and Armin Fuchs
Publisher: Springer (Springer-Verlag Berlin and Heidelberg GmbH & Co. K)
Series: Understanding Complex Systems
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One of the most striking features of Coordination Dynamics is its interdisciplinary character. It is not surprising that collaboration among scientists from different fields as psychology, kinesiology, neurology and physics are imperative to deal with the difficulties we face when we try to understand a system as complex as the human brain.

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Published December, 2007
By Jurgen Kurths, Peter beim Graben, Changsong Zhou, Marco Thiel and Peter Graben
Publisher: Springer (Springer-Verlag Berlin and Heidelberg GmbH & Co. K)
Series: Understanding Complex Systems
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Written from the physicist's perspective, this book introduces computational neuroscience with in-depth contributions by system neuroscientists. The computational implementation on supercomputers, discussed in detail, enables you to adapt the algorithm for your own research.

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Published July, 2007
By Viktor K. Jirsa and A.R. McIntosh
Publisher: Springer (Springer-Verlag Berlin and Heidelberg GmbH & Co. K)
Series: Understanding Complex Systems
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Our contemporary understanding of brain function is deeply rooted in the ideas of the nonlinear dynamics of distributed networks. The second part introduces the currently available non-invasive technologies for measuring structural and functional connectivity in the brain.

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Published June, 2006
By Dan Braha, Ali A. Minai and Yaneer Bar-Yam
Publisher: Springer (Springer-Verlag Berlin and Heidelberg GmbH & Co. K)
Series: Understanding Complex Systems
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Availability: Available

This book sheds light on the large-scale engineering systems that shape and guide our everyday lives. It does this by bringing together the latest research and practice defining the emerging field of Complex Engineered Systems.

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