Elsevier S & T

Quantitative Neuroendocrinology

Conn, P. Michael

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Table of contents
  • Table of Contentsv
  • Contributors to Volume 28vii
  • Prefacexi
  • Volumes in Seriesxiii
  • Chapter 1. Evolution of Deconvolution Analysis as a Hormone Pulse Detection Method1
  • Chapter 2. Specific Methodological Approaches to Selected Contemporary Issues in Deconvolution Analy25
  • Chapter 3. Physiological within Subject Variability and Test-Retest Reliability of Deconvolution Ana93
  • Chapter 4. Methods for Validating Deconvolution Analysis of Pulsatile Hormone Release: Luteinizing H109
  • Chapter 5. Complicating Effects of Highly Correlated Model Variables on Nonlinear Least-Squares Esti130
  • Chapter 6. Techniques for Assessing Ultradian Rhythms in Hormonal Secretion139
  • Chapter 7. Frequency Domain Analysis of High-Frequency Ultradian Plasma Adrenocorticotropic Hormone156
  • Chapter 8. Monitoring Dynamic Responses of Perifused Neuroendocrine Tissues to Stimuli in Real Time188
  • Chapter 9. Realistic Emulation of Highly Irregular Temporal Patterns of Hormone Release" A Computer-220
  • Chapter 10. Simulation of Peptide Prohormone Processing and Peptidergic Granule Transport and Releas244
  • Chapter 11. Systems-Level Analysis of Physiological Regulatory Interactions Controlling Complex Secr270
  • Chapter 12. Implementation of a Stochastic Model of Hormonal Secretion311
  • Chapter 13. Modeling the Impact of Neuroendocrine Secretogogue Pulse Trains on Hormone Secretion324
  • Chapter 14. Quantifying Complexity and Regularity of Neurobiological Systems336
  • Chapter 15. Methods for the Evaluation of Saltatory Growth in Infants364
  • Chapter 16. Analysis of Calcium Fertilization Transients in Mouse Oocytes388
  • Index425
Book details
  • Vendor Elsevier S & T
  • SKU 9780121852986
  • ISBN-13 9780080536477
  • Author Conn, P. Michael
  • Category Psychology
  • Subject Neuropsychology

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

Key Features
* 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