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.
List of Contributors
About the Companion Website
1. Bridging Between Experiments and Equations: A Tutorial on Modeling Excitability (David McCobb and Mary Lou Zeeman)
2. Ion Channels and Electrical Activity in Pituitary Cells: A Modeling Perspective (Richard Bertram, Joël Tabak and Stanko S. Stojilkovic)
3. Endoplasmic Reticulum- and Plasma Membrane-Driven Calcium Oscillations (Arthur Sherman)
4. Mathematical Models of GnRH Neurons (James Sneyd)
5. Modeling Spiking in the Magnocellular Vasopressin Neuron (Duncan J. MacGregor and Gareth Leng)
6. Modeling Endocrine Cell Network Topology (David J. Hodson, Francois Molino and Patrice Mollard)
7. Modelling the Milk-Ejection Reflex (Gareth Leng and Jianfeng Feng)
8. Dynamics of the HPA Axis: A Systems Modelling Approach (John R. Terry, Jamie J. Walker, Francesca Spiga and Stafford L. Lightman)
9. Modeling the Dynamics of Gonadotropin-Releasing Hormone (GnRH) Secretion in the Course of an Ovarian Cycle (Frédérique Clément and Alexandre Vidal)