[Comp-neuro] Quantitative Analysis of Neuroanatomy special issue / ebook

Stephen Eglen sje30 at cam.ac.uk
Fri Apr 1 19:17:37 CEST 2016

On behalf of all the editors, I am pleased to announce the release of
our special issue on the Quantitative Analysis of Neuroanatomy. All
articles have been published in Frontiers in Neuroanatomy. As of March
2016, all papers are now freely available as an Ebook either in PDF or
EPUB format.

The aim of this Research Topic is to examine theoretical and
experimental work directed at a detailed and comprehensive
quantitative understanding of neuroanatomy. Integrating such knowledge
with functional data should provide a more complete understanding of
how the nervous system in different animal species is organized to
generate appropriate behaviour.

Home page: http://journal.frontiersin.org/researchtopic/2028/quantitative-analysis-of-neuroanatomy
Blog page: http://sje30.github.io/post/qan/

Table of contents

Editorial: Quantitative Analysis of Neuroanatomy Julian M. L. Budd,
Hermann Cuntz, Stephen J. Eglen and Patrik Krieger. 

A comparison of manual neuronal reconstruction from biocytin histology
or 2-photon imaging: morphometry and computer modeling Arne
V. Blackman, Stefan Grabuschnig, Robert Legenstein and P. Jesper

Automated computation of arbor densities: a step toward identifying
neuronal cell types Uygar Sümbül, Aleksandar Zlateski, Ashwin
Vishwanathan, Richard H. Masland and H. Sebastian Seung. 

Functional connectivity estimation over large networks at cellular
resolution based on electrophysiological recordings and structural
prior Simona Ullo, Thierry R. Nieus, Diego Sona, Alessandro Maccione,
Luca Berdondini and Vittorio Murino. 

Axonal and dendritic density field estimation from incomplete
single-slice neuronal reconstructions Jaap van Pelt, Arjen van Ooyen
and Harry B. M. Uylings. 

Slicing, sampling, and distance-dependent effects affect network
measures in simulated cortical circuit structures Daniel C. Miner and
Jochen Triesch 

A workflow for the automatic segmentation of organelles in electron
microscopy image stacks Alex J. Perez, Mojtaba Seyedhosseini, Thomas
J. Deerinck, Eric A. Bushong, Satchidananda Panda, Tolga Tasdizen and
Mark H. Ellisman. 

Three-dimensional distribution of cortical synapses: a replicated
point pattern based analysis Laura Anton-Sanchez, Concha Bielza, Angel
Merchán-Pérez, José-Rodrigo Rodríguez, Javier DeFelipe and Pedro

The patterning of retinal horizontal cells: normalizing the regularity
index enhances the detection of genomic linkage Patrick W. Keeley and
Benjamin E. Reese 

Statistical analysis and data mining of digital reconstructions of
dendritic morphologies Sridevi Polavaram, Todd A. Gillette, Ruchi
Parekh and Giorgio A. Ascoli 

Towards a “canonical” agranular cortical microcircuit Sarah F. Beul
and Claus C. Hilgetag 

Generation of dense statistical connectomes from sparse morphological
data Robert Egger, Vincent J. Dercksen, Daniel Udvary, Hans-Christian
Hege and Marcel Oberlaender 

Context-aware modeling of neuronal morphologies Benjamin
Torben-Nielsen and Erik De Schutter 

The effects of neuron morphology on graph theoretic measures of
network connectivity: the analysis of a two-level statistical model
Jugoslava Aćimović, Tuomo Mäki-Marttunen and Marja-Leena Linne 

Homeostatic structural plasticity can account for topology changes
following deafferentation and focal stroke Markus Butz, Ines
D. Steenbuck and Arjen van Ooyen 

Parametric Anatomical Modeling: a method for modeling the anatomical
layout of neurons and their projections Martin Pyka, Sebastian Klatt
and Sen Cheng 

Saltatory conduction in unmyelinated axons: clustering of Na+ channels
on lipid rafts enables micro-saltatory conduction in C-fibers Ali
Neishabouri and A. Aldo Faisal 

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