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The Computing Dendrite

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Cover of 'The Computing Dendrite'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Dendritic Morphology
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    Chapter 2 The Cell Biology of Dendrite Differentiation
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    Chapter 3 Archetypes and Outliers in the Neuromorphological Space
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    Chapter 4 Neuronal Arborizations, Spatial Innervation, and Emergent Network Connectivity
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    Chapter 5 Shaping of Neurons by Environmental Interaction
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    Chapter 6 Modelling Dendrite Shape from Wiring Principles
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    Chapter 7 A Statistical Theory of Dendritic Morphology
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    Chapter 8 Reverse Engineering the 3D Structure and Sensory-Evoked Signal Flow of Rat Vibrissal Cortex
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    Chapter 9 Optimized Dendritic Morphologies for Noisy Inputs
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    Chapter 10 Introduction to Dendritic Computation
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    Chapter 11 Noisy Dendrites: Models of Dendritic Integration In Vivo
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    Chapter 12 Distributed Parallel Processing in Retinal Amacrine Cells
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    Chapter 13 Dendritic Computation of Direction in Retinal Neurons
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    Chapter 14 Rapid Integration Across Tonotopy by Individual Auditory Brainstem Octopus Cells
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    Chapter 15 Computing Temporal Sequence with Dendrites
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    Chapter 16 Modelling the Cellular Mechanisms of Fly Optic Flow Processing
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    Chapter 17 Biophysical Mechanisms of Computation in a Looming Sensitive Neuron
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    Chapter 18 Biophysics of Synaptic Inhibition in Dendrites
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    Chapter 19 Role of Non-uniform Dendrite Properties on Input Processing by GABAergic Interneurons
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    Chapter 20 Subthreshold Resonance and Membrane Potential Oscillations in a Neuron with Nonuniform Active Dendritic Properties
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    Chapter 21 A Trade-Off Between Dendritic Democracy and Independence in Neurons with Intrinsic Subthreshold Membrane Potential Oscillations
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    Chapter 22 Dendrites Enhance Both Single Neuron and Network Computation
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    Chapter 23 Dendritic Size and Topology Influence Burst Firing in Pyramidal Cells
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    Chapter 24 Stochastic Ion Channel Gating and Probabilistic Computation in Dendritic Neurons
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    Chapter 25 Cellular and Dendritic Memory Allocation
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    Chapter 26 Synaptic Plasticity and Pattern Recognition in Cerebellar Purkinje Cells
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    Chapter 27 Response of Gap Junction-Coupled Dendrites: A Sum-Over-Trips Approach
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    Chapter 28 Automated Parameter Constraining of Single-Neuron Models
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    Chapter 29 Morphological Reduction of Dendritic Neurons
Attention for Chapter 24: Stochastic Ion Channel Gating and Probabilistic Computation in Dendritic Neurons
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Chapter title
Stochastic Ion Channel Gating and Probabilistic Computation in Dendritic Neurons
Chapter number 24
Book title
The Computing Dendrite
Published by
Springer, New York, NY, January 2014
DOI 10.1007/978-1-4614-8094-5_24
Book ISBNs
978-1-4614-8093-8, 978-1-4614-8094-5
Authors

Cian O’Donnell, Matthew F. Nolan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 44%
Researcher 3 33%
Student > Master 2 22%
Readers by discipline Count As %
Neuroscience 3 33%
Philosophy 1 11%
Computer Science 1 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 11%
Physics and Astronomy 1 11%
Other 1 11%
Unknown 1 11%