Towards automated circuit reconstruction

Abstract

Event Abstract Back to Event Towards automated circuit reconstruction Fred A. Hamprecht1* 1 Univ. of Heidelberg, Germany In view of the very large volumetric electron microscopic images acquired today, it seems desirable to infer neuronal connectivity automatically using computers. Modern image analysis, in turn, leans heavily on machine learning. I will introduce the very basics of supervised machine learning and then sketch various state-of-the-art approaches to automated circuit reconstruction, representing the efforts of the community worldwide. Figure 1 Keywords: connectomics, segmentation, pattern recognition, machine learning, Electron microscopy Conference: Imaging the brain at different scales: How to integrate multi-scale structural information?, Antwerp, Belgium, 2 Sep - 6 Sep, 2013. Presentation Type: Lecture Topic: Handling of electron microscopy data sets Citation: Hamprecht FA (2013). Towards automated circuit reconstruction. Front. Neuroinform. Conference Abstract: Imaging the brain at different scales: How to integrate multi-scale structural information?. doi: 10.3389/conf.fninf.2013.10.00006 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 31 Jul 2013; Published Online: 30 Aug 2013. * Correspondence: Prof. Fred A Hamprecht, Univ. of Heidelberg, Heidelberg, Germany, fred.hamprecht@iwr.uni-heidelberg.de Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Fred A Hamprecht Google Fred A Hamprecht Google Scholar Fred A Hamprecht PubMed Fred A Hamprecht Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.