Computational Neuroendocrinology
By Gareth Leng
()
About this ebook
Neuroendocrinology with its well defined functions, inputs, and outputs, is one of the most fertile grounds for computational modeling in neuroscience. But modeling is often seen as something of a dark art. This book aims to display the power of modeling approaches in neuroendocrinology, and to showcase its potential for understanding these complex systems.
A recurring theme in neuroendocrinology is rhythms. How are rhythms generated, and what purpose do they serve? Are these two questions inextricably intertwined?
This book is written for innocents, presuming no math beyond high school or computing beyond calculators. It seeks to lead the curious into the thinking of the modeler, providing the tools to the reader to understand models, and even develop their own, giving life to paper diagrams. The diverse chapters, from ion channels to networks, systems, and hormonal rhythms, each tell the story of a model serving to join the hard won dots of experimentation, mapping a new understanding, and revealing hidden knowledge.
• Written by a team of internationally renowned researchers
• Both print and enhanced e-book versions are available
• Illustrated in full colour throughout
This is the fourth volume in a new Series ‘Masterclass in Neuroendocrinology’ , a co- publication between Wiley and the INF (International Neuroendocrine Federation) that aims to illustrate highest standards and encourage the use of the latest technologies in basic and clinical research and hopes to provide inspiration for further exploration into the exciting field of neuroendocrinology.
Series Editors: John A. Russell, University of Edinburgh, UK and William E. Armstrong, The University of Tennessee, USA
• Written by a team of internationally renowned researchers
• Both print and enhanced e-book versions are available
• Illustrated in full colour throughout
This is the fourth volume in a new Series ‘Masterclass in Neuroendocrinology’ , a co- publication between Wiley and the INF (International Neuroendocrine Federation) that aims to illustrate highest standards and encourage the use of the latest technologies in basic and clinical research and hopes to provide inspiration for further exploration into the exciting field of neuroendocrinology.
Series Editors: John A. Russell, University of Edinburgh, UK and William E. Armstrong, The University of Tennessee, USA
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Computational Neuroendocrinology - Duncan J. MacGregor
Series Preface
This series is a joint venture between the International Neuroendocrine Federation and Wiley-Blackwell. The broad aim of the series is to provide established researchers, trainees, and students with authoritative up-to-date accounts of the present state of knowledge and prospects for the future across a range of topics in the burgeoning field of neuroendocrinology. The series is aimed at a wide audience as neuroendocrinology integrates neuroscience and endocrinology. We define neuroendocrinology as the study of the control of endocrine function by the brain and the actions of hormones on the brain. It encompasses the study of the normal and abnormal functions, and the developmental origins of disease. It includes the study of the neural networks in the brain that regulate and form neuroendocrine systems. It includes the study of behaviors and mental status that are influenced or regulated by hormones. It necessarily includes the understanding and study of peripheral physiological systems that are regulated by neuroendocrine mechanisms.
Clearly, neuroendocrinology embraces many current issues of concern to human health and well-being, but research on these issues necessitates reductionist animal models.
Contemporary research in neuroendocrinology involves the use of a wide range of techniques and technologies, from subcellular to systems and the whole organism level. A particular aim of the series is to provide expert advice and discussion about experimental or study protocols in research in neuroendocrinology and to further advance the field by giving information and advice about novel techniques, technologies and interdisciplinary