Modeling in the Neurosciences
eBook - PDF

Modeling in the Neurosciences

From Biological Systems to Neuromimetic Robotics

  1. 736 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Modeling in the Neurosciences

From Biological Systems to Neuromimetic Robotics

About this book

Computational models of neural networks have proven insufficient to accurately model brain function, mainly as a result of simplifications that ignore the physical reality of neuronal structure in favor of mathematically tractable algorithms and rules. Even the more biologically based "integrate and fire" and "compartmental" styles of modeling suff

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Yes, you can access Modeling in the Neurosciences by G. N. Reeke, R.R. Poznanski, K. A. Lindsay, J.R. Rosenberg, O. Sporns in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2005
eBook ISBN
9780203390979
Edition
1

Table of contents

  1. Front cover
  2. Contents
  3. Preface to the Second Edition
  4. Contributors
  5. Foreword
  6. About the Editors
  7. 1 Introduction to Modeling in the Neurosciences
  8. 2 Patterns of Genetic Interactions: Analysis of mRNA Levels from cDNA Microarrays
  9. 3 Calcium Signaling in Dendritic Spines
  10. 4 Physiological and Statistical Approaches to Modeling of Synaptic Responses
  11. 5 Natural Variability in the Geometry of Dendritic Branching Patterns
  12. 6 Multicylinder Models for Synaptic and Gap-Junctional Integration
  13. 7 Voltage Transients in Branching Multipolar Neurons with Tapering Dendrites and Sodium Channels
  14. 8 Analytical Solutions of the Frankenhaeuser–Huxley Equations Modified for Dendritic Backpropagation of a Single SodiumSpike
  15. 9 Inverse Problems for Some Cable Models of Dendrites
  16. 10 Equivalent Cables — Analysis and Construction
  17. 11 The Representation of Three-Dimensional Dendritic Structure by a One-Dimensional Model — The Conventional Cable Equation as the First Member of a Hierarchy of Equations
  18. 12 Simulation Analyses of Retinal Cell Responses
  19. 13 Modeling Intracellular Calcium: Diffusion, Dynamics, and Domains
  20. 14 Ephaptic Interactions Between Neurons
  21. 15 Cortical Pyramidal Cells
  22. 16 Semi-Quantitative Theory of Bistable Dendrites with Potential-Dependent Facilitation of Inward Current
  23. 17 Bifurcation Analysis of the Hodgkin–Huxley Equations
  24. 18 Highly Efficient Propagation of Random Impulse Trains Across Unmyelinated Axonal Branch Points:Modifications by Periaxonal K+ Accumulation and Sodium Channel Kinetics
  25. 19 Dendritic Integration in a Two-Neuron Recurrent Excitatory Network Model
  26. 20 Spike-Train Analysis for Neural Systems
  27. 21 The Poetics of Tremor
  28. 22 Principles and Methods in the Analysis of Brain Networks
  29. 23 The Darwin Brain-Based Automata: Synthetic Neural Models and Real-World Devices
  30. 24 Toward Neural Robotics: From Synthetic Models to Neuromimetic Implementations
  31. Bibliography
  32. Index
  33. Back cover