Stephen J Eglen Computational Neuroscience

Quantitative Analysis of Neuroanatomy ebook

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.

Table of contents

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

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 Sjöström. Paper

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. Paper

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. Paper

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

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

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. Paper

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 Larrañaga. Paper

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

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

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

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

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

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 Paper

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

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

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 Paper