Modeling in the Neurosciences (eBook, PDF)

From Biological Systems to Neuromimetic Robotics
Redaktion: Reeke, G. N.; Sporns, O.; Rosenberg, J. R.; Lindsay, K. A.; Poznanski, R. R.

• Format: PDF

Produktbeschreibung

With contributions from more than 40 experts, Modeling in the Neurosciences, Second Edition is essential for those interested in neuronal modeling and quantitative neuroscience. Focusing on new mathematical and computer models, techniques, and methods, this book represents a cohesive and comprehensive treatment of various aspects of the neurosciences, from the molecular to the network level. It presents many state-of-the-art examples that show how mathematical and computer modeling can contribute to the understanding of mechanisms and systems in the neurosciences. Each chapter also includes suggestions of possible refinements for future modeling in this rapidly changing and expanding field.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 736
• Erscheinungstermin: 29. März 2005
• Englisch
• ISBN-13: 9780203390979
• Artikelnr.: 53350235

Autorenporträt

G. N. Reeke, R. R. Poznanski, K. A. Lindsay, J. R. Rosenberg, O. Sporns

Inhaltsangabe

Preface. Contributors. Foreword. Introduction to Modeling in the
Neurosciences. Patterns of Genetic Interactions: Analysis of mRNA Levels
from cDNA Microarrays. Calcium Signaling in Dendritic Spines. Physiological
and Statistical Approaches to Modeling of Synaptic Responses. Natural
Variability in the Geometry of Dendritic Branching Patterns. Multicylinder
Models for Synaptic and Gap-Junctional Integration. Voltage Transients in
Branching Multipolar Neurons with Tapering Dendrites and Sodium Channels.
Analytical Solutions of the Frankenhaeuser-Huxley Equations Modified for
Dendritic Backpropagation of a Single Sodium Spike. Inverse Problems for
Some Cable Models of Dendrites. Equivalent Cables-Analysis and
Construction. 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. Simulation Analyses of Retinal Cell
Responses. Modeling Intracellular Calcium: Diffusion, Dynamics, and
Domains. Ephaptic Interactions Between Neurons. Cortical Pyramidal Cells.
Semi-Quantitative Theory of Bistable Dendrites with Potential-Dependent
Facilitation of Inward Current. Bifurcation Analysis of the Hodgkin-Huxley
Equations. Highly Efficient Propagation of Random Impulse Trains Across
Unmyelinated Axonal Branch Points: Modifications by Periaxonal K+ and
Sodium Channel Kinetics. Dendritic Integration in a Two-Neuron Recurrent
Excitatory Network Model. Spike-Train Analysis for Neural Systems. The
Poetics of Tremor. Principles and Methods in the Analysis of Brain
Networks. The Darwin Brain-Based Automata: Synthetic Neural Models and
Real-World Devices. Toward Neural Robotics: From Synthetic Models to
Neuromimetic Implementations. Bibliography. Index.