Computational Approach to Dendritic Spine Taxonomy and Shape Transition Analysis

Bokota, G., Magnowska, M., Kusmierczyk, T. et al. (3 more authors) (2016) Computational Approach to Dendritic Spine Taxonomy and Shape Transition Analysis. Frontiers in Computational Neuroscience, 10. 140. ISSN 1662-5188

Abstract

Metadata

Authors/Creators:
  • Bokota, G.
  • Magnowska, M.
  • Kusmierczyk, T.
  • Lukasik, M.
  • Roszkowska, M.
  • Plewczynski, D.
Copyright, Publisher and Additional Information: © 2016 Bokota, Magnowska, Kuśmierczyk, Łukasik, Roszkowska and Plewczynski. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Keywords: dendritic spines; shape transitions; synaptic plasticity; image processing
Dates:
  • Published: 23 December 2016
  • Accepted: 5 December 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 27 Jan 2017 12:52
Last Modified: 10 Mar 2017 12:11
Published Version: https://doi.org/10.3389/fncom.2016.00140
Status: Published
Publisher: Frontiers Media
Refereed: Yes
Identification Number: https://doi.org/10.3389/fncom.2016.00140
Related URLs:

Download

Share / Export

Statistics