Spyke Viewer: a flexible and extensible platform for electrophysiological data analysis

被引:17
作者
Proepper, Robert [1 ,2 ]
Obermayer, Klaus [1 ]
机构
[1] TU Berlin, Dept Software Engn & Theoret Comp Sci, Neural Informat Proc Grp, D-10587 Berlin, Germany
[2] Bernstein Ctr Computat Neurosci, Berlin, Germany
来源
FRONTIERS IN NEUROINFORMATICS | 2013年 / 7卷
关键词
electrophysiology; !text type='python']python[!/text; data analysis; visualization; spike sorting; software; data sharing;
D O I
10.3389/fninf.2013.00026
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Spyke Viewer is an open source application designed to help researchers analyze data from electrophysiological recordings or neural simulations. It provides a graphical data browser and supports finding and selecting relevant subsets of the data. Users can interact with the selected data using an integrated Python console or plugins. Spyke Viewer includes plugins for several common visualizations and allows users to easily extend the program by writing their own plugins. New plugins are automatically integrated with the graphical interface. Additional plugins can be downloaded and shared on a dedicated website.
引用
收藏
页数:10
相关论文
共 10 条
  • [1] Open is not enough. Let's take the next step: an integrated, community-driven computing platform for neuroscience
    Davison, Andrew P.
    [J]. FRONTIERS IN NEUROINFORMATICS, 2012, 6
  • [2] An online spike detection and spike classification algorithm capable of instantaneous resolution of overlapping spikes
    Franke, Felix
    Natora, Michal
    Boucsein, Clemens
    Munk, Matthias H. J.
    Obermayer, Klaus
    [J]. JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 2010, 29 (1-2) : 127 - 148
  • [3] Garcia Samuel, 2009, Front Neuroinform, V3, P14, DOI 10.3389/neuro.11.014.2009
  • [4] G-Node: An integrated tool-sharing platform to support cellular and systems neurophysiology in the age of global neuroinformatics
    Herz, Andreas V. M.
    Meier, Ralph
    Nawrot, Martin P.
    Schiegel, Willi
    Zito, Tiziano
    [J]. NEURAL NETWORKS, 2008, 21 (08) : 1070 - 1075
  • [5] sigTOOL: A MATLAB-based environment for sharing laboratory-developed software to analyze biological signals
    Lidierth, Malcolm
    [J]. JOURNAL OF NEUROSCIENCE METHODS, 2009, 178 (01) : 188 - 196
  • [6] FIND - A unified framework for neural data analysis
    Meier, Ralph
    Egert, Ulrich
    Aertsen, Ad
    Nawrot, Martin P.
    [J]. NEURAL NETWORKS, 2008, 21 (08) : 1085 - 1093
  • [7] IPython']Python:: A system for interactive scientific computing
    Perez, Fernando
    Granger, Brian E.
    [J]. COMPUTING IN SCIENCE & ENGINEERING, 2007, 9 (03) : 21 - 29
  • [8] Kernel bandwidth optimization in spike rate estimation
    Shimazaki, Hideaki
    Shinomoto, Shigeru
    [J]. JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 2010, 29 (1-2) : 171 - 182
  • [9] Spacek Martin, 2008, Front Neuroinform, V2, P9, DOI 10.3389/neuro.11.009.2008
  • [10] Increasing quality and managing complexity in neuroinformatics software development with continuous integration
    Zaytsev, Yury V.
    Morrison, Abigail
    [J]. FRONTIERS IN NEUROINFORMATICS, 2013, 6