Description
In this volume contemporary methods designed to provide insights into, mathematical structure for, and predictive inferences about neuroendocrine control mechanisms are presented.
- Collates an array of contemporary techniques for analysis of neuroendocrine data
- Discusses current problems in and solutions to neurohormone pulse analysis
- Identifies relevant software available
Chapter
Chapter 2. Specific Methodological Approaches to Selected Contemporary Issues in Deconvolution Analysis of Pulsatile Neuroendocrine Data
pp.：
40 – 108
Chapter 3. Physiological within Subject Variability and Test-Retest Reliability of Deconvolution Analysis of Luteinizing Hormone Release
pp.：
108 – 124
Chapter 4. Methods for Validating Deconvolution Analysis of Pulsatile Hormone Release: Luteinizing Hormone as a Paradigm
pp.：
124 – 145
Chapter 5. 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: Estimating Basal Secretion and Neurohormore Half-Life by Deconvolution Analysis
pp.：
145 – 154
Chapter 6. Techniques for Assessing Ultradian Rhythms in Hormonal Secretion
pp.：
154 – 171
Chapter 7. Frequency Domain Analysis of High-Frequency Ultradian Plasma Adrenocorticotropic Hormone and Glucocorticoid Fluctuations
pp.：
171 – 203
Chapter 8. Monitoring Dynamic Responses of Perifused Neuroendocrine Tissues to Stimuli in Real Time
pp.：
203 – 235
Chapter 9. Realistic Emulation of Highly Irregular Temporal Patterns of Hormone Release" A Computer-Based Pulse Simulator
pp.：
235 – 259
Chapter 10. Simulation of Peptide Prohormone Processing and Peptidergic Granule Transport and Release in Neurosecretory Cells
pp.：
259 – 285
Chapter 11. Systems-Level Analysis of Physiological Regulatory Interactions Controlling Complex Secretory Dynamics of the Growth Hormone Axis: A Dynamical Network Model
pp.：
285 – 326
Chapter 12. Implementation of a Stochastic Model of Hormonal Secretion
pp.：
326 – 339
Chapter 13. Modeling the Impact of Neuroendocrine Secretogogue Pulse Trains on Hormone Secretion
pp.：
339 – 351
Chapter 14. Quantifying Complexity and Regularity of Neurobiological Systems
pp.：
351 – 379
Chapter 15. Methods for the Evaluation of Saltatory Growth in Infants
pp.：
379 – 403
Chapter 16. Analysis of Calcium Fertilization Transients in Mouse Oocytes
pp.：
403 – 440
Quantitative Neuroendocrinology
( Volume 28 )
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