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

lgrsnf/K:\_add\2\wiley\Computational Neuroendocrinology.pdf

nexusstc/Computational Neuroendocrinology/b52bb4fd31da68c6fa087bb85a4cc5e6.pdf

scihub/10.1002/9781119159438.pdf

zlib/Medicine/Leng, Gareth; MacGregor, Duncan J/Computational neuroendocrinology_2716999.pdf

CompTIA Network+ Study Guide Exam N10-007

MacGregor, Duncan J.; Leng, Gareth

Duncan J. MacGregor; Gareth Leng

edited by Gareth Leng

Wiley & Sons, Incorporated, John

Wiley & Sons, Limited, John

American Geophysical Union

John Wiley et Sons, Inc

John Wiley & Sons, Ltd

Wiley Blackwell

Wiley-INF neuroendocrinology series, Wiley-INF neuroendocrinology series, Chichester, West Sussex, UK, Hoboken, NJ, England, 2016

Masterclass in neuroendocrinology series, Chichester, West Sussex, UK, 2016

Masterclass in neuroendocrinology series, Chichester, 2016, cop. 2016

Wiley-INF Neuroendocrinology Series, 1. Auflage, New York, NY, 2016

John Wiley & Sons, Inc., Chichester, West Sussex, UK, 2016

Wiley-INF Masterclass in Neuroendocrinology Series, 2016

United States, United States of America

1, 2016-02-29

PS, 2016

lg1507497

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Includes bibliographical references and index.

<p>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.<br></p><p>A recurring theme in neuroendocrinology is rhythms. How are rhythms generated, and what purpose do they serve? Are these two questions inextricably intertwined?<br></p><p>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<br> • Both print and enhanced e-book versions are available<br> • Illustrated in full colour throughout<br></p><p>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.<br></p><p>Series Editors: John A. Russell, University of Edinburgh, UK and William E. Armstrong, The University of Tennessee, USA <br></p><p>• Written by a team of internationally renowned researchers<br> • Both print and enhanced e-book versions are available<br> • Illustrated in full colour throughout<br></p><p>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.<br></p><p>Series Editors: John A. Russell, University of Edinburgh, UK and William E. Armstrong, The University of Tennessee, USA<br></p>

Neurundocrinology 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 neurundocrinology, and to showcase its potential for understanding these complex systems. A recurring theme in neurundocrinology 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

Content: Bridging between experiments and equations : a tutorial on modeling excitability / David McCobb and Mary Lou Zeeman --
Ion channels and electrical activity in pituitary cells : a modeling perspective / Richard Bertram, Joel Tabak, and Stanko S. Stojilkovic --
Endoplasmic reticulum- and plasma membrane-driven calcium oscillations / Arthur Sherman --
Mathematical models of GnRH neurons / James Sneyd --
Modeling spiking in the magnocellular vasopressin neuron / Duncan J. MacGregor, and Gareth Leng --
Modeling endocrine cell network topology / David J. Hodson, Francois Molino, and Patrice Mollard --
Modelling the milk-ejection reflex / Gareth Leng and Jianfeng Feng --
Dynamics of the HPA axis : a systems modelling approach / John R. Terry, Jamie J. Walker, Francesca Spiga, and Stafford L. Lightman --
Modeling the dynamics of gonadotropin-releasing hormone (GnRH) secretion in the course of an ovarian cycle / Frederique Clement and Alexandre Vidal.

2016-05-22