A website for automated spike sorting evaluation

Abstract

Event Abstract Back to Event A website for automated spike sorting evaluation Felix Franke1, 2*, Michal Natora2, Philipp Meier2 and Klaus H. Obermayer1, 2 1 Humboldt Universität zu Berlin, Bernstein Center for Computational Neuroscience, Germany 2 Berlin Institute of Technology, School for Electrical Engineering and Computer Science, Germany For the quantitative evaluation of spike sorting algorithms the ground truth of the data analyzed, i.e. the number of neurons and their firing times, has to be known. Therefore, real extracellular recordings provide no suitable benchmark data because of the inherent absence (or at least very limited presence) of groundtruth information. Simulated surrogate data is thus the traditional way to evaluate a new spike sorting algorithm, however most scientist use their own simulated data rendering comparisons between different publications very difficult.Here, we develope a framework for automated spike sorting evaluation on many different benchmark datasets used in recent publications. The framework is connected to a website that allows the user to download the benchmark files, upload their sorting results and compare their performance to that of other users. We hope that the website will help in comparing the performance of different spike sorting algorithms and foster the development new ones. Acknowledgements This work was supported by DFG GRK 1589/1 and the German Federal Ministry of Education and Research (BMBF) with the grants 01GQ0743 and 01GQ0410. Keywords: computational neuroscience Conference: Bernstein Conference on Computational Neuroscience, Berlin, Germany, 27 Sep - 1 Oct, 2010. Presentation Type: Poster Abstract Topic: Bernstein Conference on Computational Neuroscience Citation: Franke F, Natora M, Meier P and Obermayer KH (2010). A website for automated spike sorting evaluation. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience. doi: 10.3389/conf.fncom.2010.51.00087 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: 13 Sep 2010; Published Online: 23 Sep 2010. * Correspondence: Dr. Felix Franke, Humboldt Universität zu Berlin, Bernstein Center for Computational Neuroscience, Berlin, Germany, felfranke@googlemail.com 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 Felix Franke Michal Natora Philipp Meier Klaus H Obermayer Google Felix Franke Michal Natora Philipp Meier Klaus H Obermayer Google Scholar Felix Franke Michal Natora Philipp Meier Klaus H Obermayer PubMed Felix Franke Michal Natora Philipp Meier Klaus H Obermayer 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.