Quantitative Neuroendocrinology

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ISBN: 9780121852986 | 0121852989
Cover: Hardcover
Copyright: 9/20/1995

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Summary

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In this volume contemporary methods designed to provide insights into, mathematical structure for, and predictive inferences about neuroendocrine control mechanisms are presented.

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Evolution of Deconvolution Analysis as a Hormone Pulse Detection Method
Specific Methodological Approaches to Selected Contemporary Issues in Deconvolution Analysis of Pulsatile Neuroendocrine Data
Physiological within subject Variability and Test-Retest Reliability of Deconvolution Analysis of Luteinizing Hormone Release
Methods for Validating Deconvolution Analysis of Pulsatile Hormone Release: Luteinizing Hormone as a Paradigm
Complicating Effects of Highly Correlated Model Variables on Nonlinear Least-Squares Estimates of Unique Parameter Values and Their Statistical Confidence Intervals: Estimating Basal Secretion and Neurohormone Half-Life by Deconvolution Analysis
Techniques for Assessing Ultradian Rhythms in Hormonal Secretion
Frequency Domain Analysis of High-Frequency Ultradian Plasma Adrenocorticotripic Hormone and Glucocorticoid Fluctuations
Monitoring Dynamic Responses of Perifused Neuroendocrine Tissues to Stimuli in Real Time
Realistic Emulation of Highly Irregular Temporal Patterns of Hormone Release: A Computer-Based Pulse Simulator
Simulation of Peptide Prohormone Processing and Peptidergic Granule Transport and Release in Neurosecretory Cells
Systems-Level Analysis of Physiological Regulatory Interactions Controlling Complex Secretory Dynamics of the Growth Hormone Axis: A Dynamical Network Model
Implementation of a Stochastic Model of Hormonal Secretion
Modeling the Impact of Neuroendocrine Secretogogue Pulse Trains on Hormone Secretion
Quantifying Complexity and Regularity of Neurobiological Systems
Methods for the Evaluation of Saltatory Growth in Infants
Analysis of Calcium Fertilization Transients in Mouse Oocytes
Index
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Quantitative Neuroendocrinology

Summary

Table of Contents

Supplemental Materials