{"product_id":"computational-neuroendocrinology-isbn-9781119951698","title":"Computational Neuroendocrinology","description":"\u003cp\u003eNeuroendocrinology 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.\u003c\/p\u003e \u003cp\u003eA recurring theme in neuroendocrinology is rhythms. How are rhythms generated, and what purpose do they serve? Are these two questions inextricably intertwined?\u003c\/p\u003e \u003cp\u003eThis 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.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eWritten by a team of internationally renowned researchers\u003c\/li\u003e \u003cli\u003eBoth print and enhanced e-book versions are available\u003c\/li\u003e \u003cli\u003eIllustrated in full colour throughout\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThis 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.\u003c\/p\u003e \u003cp\u003eSeries Editors: John A. Russell, University of Edinburgh, UK and William E. Armstrong, The University of Tennessee, USA\u003c\/p\u003e \u003cp\u003eList of Contributors, vii\u003c\/p\u003e \u003cp\u003eSeries Preface, ix\u003c\/p\u003e \u003cp\u003ePreface, xi\u003c\/p\u003e \u003cp\u003eAbout the Companion Website, xv\u003c\/p\u003e \u003cp\u003e1 Bridging Between Experiments and Equations: A Tutorial on Modeling Excitability, 1\u003cbr\u003e\u003ci\u003eDavid P. McCobb and Mary Lou Zeeman\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2 Ion Channels and Electrical Activity in Pituitary Cells: A Modeling Perspective, 80\u003cbr\u003e\u003ci\u003eRichard Bertram, Joël Tabak, and Stanko S. Stojilkovic\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3 Endoplasmic Reticulum- and Plasma-Membrane-Driven Calcium Oscillations, 111\u003cbr\u003e\u003ci\u003eArthur Sherman\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4 A Mathematical Model of Gonadotropin-Releasing Hormone Neurons, 142\u003cbr\u003e\u003ci\u003eJames Sneyd, Wen Duan, and Allan Herbison\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5 Modeling Spiking and Secretion in the Magnocellular Vasopressin Neuron, 166\u003cbr\u003e\u003ci\u003eDuncan J. MacGregor and Gareth Leng\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6 Modeling Endocrine Cell Network Topology, 206\u003cbr\u003e\u003ci\u003eDavid J. Hodson, Francois Molino, and Patrice Mollard\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7 Modeling the Milk-Ejection Reflex, 227\u003cbr\u003e\u003ci\u003eGareth Leng and Jianfeng Feng\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8 Dynamics of the HPA Axis: A Systems Modeling Approach, 252\u003cbr\u003e\u003ci\u003eJohn R. Terry, Jamie J. Walker, Francesca Spiga, and Stafford L. Lightman\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9 Modeling the Dynamics of Gonadotropin-Releasing Hormone (GnRH) Secretion in the Course of an Ovarian Cycle, 284\u003cbr\u003e\u003ci\u003eFrédérique Clément and Alexandre Vidal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eGlossary, 305\u003c\/p\u003e \u003cp\u003eIndex, 315\u003c\/p\u003e  \u003cp\u003e\u003cstrong\u003eGareth Leng\u003c\/strong\u003e, Professor of Experimental Physiology and Head of Department, The University of Edinburgh, Edinburgh, UK. Gareth's research focuses on understanding neuronal networks in the hypothalamus, particularly those controlling pituitary hormone secretion and those controlling appetite and obesity.  \u003c\/p\u003e\u003cp\u003eNeuroendocrinology 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. \u003cbr\u003e \u003cbr\u003eA recurring theme in neuroendocrinology is rhythms.  How are rhythms generated, and what purpose do they serve? Are these two questions inextricably intertwined? \u003c\/p\u003e \u003cp\u003eThis 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.\u003c\/p\u003e \u003cp\u003eThis is the fourth volume in the Masterclass in Neuroendocrinology Series, 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.\u003c\/p\u003e \u003cp\u003eSeries Editors: \u003cb\u003eJohn A. Russell\u003c\/b\u003e, \u003ci\u003eUniversity of Edinburgh, UK\u003c\/i\u003e\u003cbr\u003eand \u003cb\u003eWilliam E. Armstrong\u003c\/b\u003e, \u003ci\u003eThe University of Tennessee, USA\u003c\/i\u003e\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47988967047397,"sku":"NP9781119951698","price":121.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119951698.jpg?v=1761782245","url":"https:\/\/k12savings.com\/products\/computational-neuroendocrinology-isbn-9781119951698","provider":"K12savings","version":"1.0","type":"link"}