@INCOLLECTION {Pfister-2014-VIC,
author = "Hanspeter Pfister and Verena Kaynig and Charl P. Botha and Stefan Bruckner and Vincent J. Dercksen and Hans-Christian Hege and Jos B.T.M. Roerdink",
title = "Visualization in Connectomics",
booktitle = "Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization",
publisher = "Springer",
year = "2014",
editor = "Min Chen and Hans Hagen and Charles D. Hansen and Christopher R. Johnson and Arie E. Kaufman",
series = "Mathematics and Visualization",
chapter = "21",
pages = "221--245",
month = "sep",
abstract = "Connectomics is a branch of neuroscience that attempts to create a  connectome, i.e., a completemap of the neuronal system and all connections  between neuronal structures. This representation can be used to understand  how functional brain states emerge from their underlying anatomical  structures and how dysfunction and neuronal diseases arise. We review  the current state-of-the-art of visualization and image processing  techniques in the field of connectomics and describe a number of  challenges. After a brief summary of the biological background and  an overview of relevant imaging modalities, we review current techniques  to extract connectivit",
pdf = "pdfs/Pfister-2014-VIC.pdf",
images = "images/Pfister-2014-VIC.jpg",
thumbnails = "images/Pfister-2014-VIC.png",
doi = "10.1007/978-1-4471-6497-5_21",
keywords = "connectomics, neuroscience, visualization, imaging",
owner = "bruckner",
timestamp = "2014.12.30",
url = "//www.springer.com/mathematics/computational+science+%26+engineering/book/978-1-4471-6496-8"
}