- 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
Toward a simplified model of an active dendritic tree
Toward a simplified model of an active dendritic tree
- Chapter:
- (p.465) Chapter 16 Toward a simplified model of an active dendritic tree
- Source:
- Dendrites
- Author(s):
Bartlett W. Mel
- Publisher:
- Oxford University Press
The ability to compartmentalize voltage signals and to generate local spikes suggests that the spatially extended dendritic trees of CNS neurons may allow a single cell to carry out computations that go well beyond the ability to “integrate and fire.” This chapter reviews the history of ideas regarding the computing capabilities of dendritic trees, focusing on “cluster sensitive” spatial interactions between excitatory and inhibitory synapses within the dendritic trees of neocortical and hippocampal pyramidal neurons. The chapter culminates in a recently proposed layered model of a pyramidal neuron, whose thin dendrites use their analog spatial processing capabilities to compute low-dimensional sigmoidal functions of their inputs, before passing their results onto a traditional integrate and fire operation at the soma.
Keywords: computation, pyramidal neurons, dendritic spikes, cluster sensitivity, spatial processing, 2-layer model, multi-dimensional sigmoid
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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