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Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences
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The Computing Dendrite - From Structure to Function (Hardcover, 2014 ed.)
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The Computing Dendrite - From Structure to Function (Hardcover, 2014 ed.)
Series: Springer Series in Computational Neuroscience, 11
Expected to ship within 18 - 22 working days
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Neuronal dendritic trees are complex structures that endow the cell
with powerful computing capabilities and allow for high neural
interconnectivity. Studying the function of dendritic structures
has a long tradition in theoretical neuroscience, starting with the
pioneering work by Wilfrid Rall in the 1950s. Recent advances in
experimental techniques allow us to study dendrites with a new
perspective and in greater detail. The goal of this volume is to
provide a resume of the state-of-the-art in experimental,
computational, and mathematical investigations into the functions
of dendrites in a variety of neural systems. The book first looks
at morphological properties of dendrites and summarizes the
approaches to measure dendrite morphology quantitatively and to
actually generate synthetic dendrite morphologies in computer
models. This morphological characterization ranges from the study
of fractal principles to describe dendrite topologies, to the
consequences of optimization principles for dendrite shape.
Individual approaches are collected to study the aspects of
dendrite shape that relate directly to underlying circuit
constraints and computation. The second main theme focuses on how
dendrites contribute to the computations that neurons perform. What
role do dendritic morphology and the distributions of synapses and
membrane properties over the dendritic tree have in determining the
output of a neuron in response to its input? A wide range of
studies is brought together, with topics ranging from general to
system-specific phenomena-some having a strong experimental
component, and others being fully theoretical. The studies come
from many different neural systems and animal species ranging from
invertebrates to mammals. With this broad focus, an overview is
given of the diversity of mechanisms that dendrites can employ to
shape neural computations.
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