- Title Pages
- Foreword to the Third Edition
- Preface to the Third Edition
- List of Contributors
- List of Abbreviations
- Chapter 1 Dendrite structure
- Chapter 2 Evolution and scaling of dendrites
- Chapter 3 Dendrite development
- Chapter 4 Molecular determinants of dendrite and spine development
- Chapter 5 Local translation in dendrites
- Chapter 6 Structure and molecular organization of the postsynaptic density
- Chapter 7 Subcellular distribution of ligand- and voltage-gated ion channels
- Chapter 8 Neurotransmitter-gated ion channels in dendrites
- Chapter 9 Dendritic voltage-gated ion channels
- Chapter 10 Biochemical compartmentalization in dendrites
- Chapter 11 Spine calcium signaling
- Chapter 12 Principles of dendritic integration
- Chapter 13 Dendritic integration in vivo
- Chapter 14 Modeling dendrites: a personal perspective
- Chapter 15 A theoretical view of the neuron as an input–output computing device
- Chapter 16 Toward a simplified model of an active dendritic tree
- Chapter 17 Modeling dendrite shape
- Chapter 18 Functional plasticity at dendritic synapses
- Chapter 19 Structural plasticity in dendrites and spines
- Chapter 20 Molecular signaling during plasticity of dendritic spines
- Chapter 21 Dendrites as transmitters
- Chapter 22 Dendritic connectomics
- Chapter 23 Linking dendritic processing to computation and behavior in invertebrates
- Chapter 24 Dendrites and disease
- Chapter 25 The future of dendrite research
- Index
Modeling dendrite shape
Modeling dendrite shape
- Chapter:
- (p.487) Chapter 17 Modeling dendrite shape
- Source:
- Dendrites
- Author(s):
Hermann Cuntz
- Publisher:
- Oxford University Press
The functional role of voltage-gated channels has been extensively studied in computational models of dendrites, but the role of dendritic shape itself has long eluded a rigorous quantitative analysis because of a lack of corresponding models. Several novel modeling techniques have recently emerged that enable the generation of synthetic dendritic trees for most types of neurons. These models are useful for studying how aspects of dendritic computation depend on specific features of dendritic morphology and their impact in pathological changes of dendritic shape. The models also allow one to study general principles and relations of morphological parameters in dendritic trees and to understand circuit formation during development. With detailed models of single neurons now reaching a high degree of biological realism, it will be valuable to implement such models in simulations of entire neural circuits.
Keywords: dendrites, computational model, dendritic shape, morphological parameters, circuit formation, neural circuits
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- Title Pages
- Foreword to the Third Edition
- Preface to the Third Edition
- List of Contributors
- List of Abbreviations
- Chapter 1 Dendrite structure
- Chapter 2 Evolution and scaling of dendrites
- Chapter 3 Dendrite development
- Chapter 4 Molecular determinants of dendrite and spine development
- Chapter 5 Local translation in dendrites
- Chapter 6 Structure and molecular organization of the postsynaptic density
- Chapter 7 Subcellular distribution of ligand- and voltage-gated ion channels
- Chapter 8 Neurotransmitter-gated ion channels in dendrites
- Chapter 9 Dendritic voltage-gated ion channels
- Chapter 10 Biochemical compartmentalization in dendrites
- Chapter 11 Spine calcium signaling
- Chapter 12 Principles of dendritic integration
- Chapter 13 Dendritic integration in vivo
- Chapter 14 Modeling dendrites: a personal perspective
- Chapter 15 A theoretical view of the neuron as an input–output computing device
- Chapter 16 Toward a simplified model of an active dendritic tree
- Chapter 17 Modeling dendrite shape
- Chapter 18 Functional plasticity at dendritic synapses
- Chapter 19 Structural plasticity in dendrites and spines
- Chapter 20 Molecular signaling during plasticity of dendritic spines
- Chapter 21 Dendrites as transmitters
- Chapter 22 Dendritic connectomics
- Chapter 23 Linking dendritic processing to computation and behavior in invertebrates
- Chapter 24 Dendrites and disease
- Chapter 25 The future of dendrite research
- Index