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version 4.0 (82.7 MB) by Raha Dastgheyb
Anakyze spike trains exported from multi-electrode arrays


Updated 23 Jul 2019

GitHub view license on GitHub

Analyze spike train data exported from multi-electrode array recordings with advanced visualizations. Matlab not required.

This stand-alone tool gives you the ability to:

Load spike trains from a variety of electrode layouts
Select electrodes from a graphical display
Crop time segments
Calculate electrode-specific metrics for spike activity
Plot and export raster plots in publication-ready format
Plot plate-wide activity with a bin size of your choosing
Calcualte bursts based on your own burst definition
Calculate periodic intervals for plate-wide activity
Calculate and visualize network correlation activity
Export 3D visualizations and videos
All parameters are adjustable

Cite As

Raha Dastgheyb (2020). MEAnalyzer (, GitHub. Retrieved .

Dastgheyb, Raha M., et al. “MEAnalyzer – a Spike Train Analysis Tool for Multi Electrode Arrays.” Neuroinformatics, Springer Science and Business Media LLC, July 2019, doi:10.1007/s12021-019-09431-0.

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Comments and Ratings (4)

@Ahmad Khan : It shouldn't need to be specific for Matlab, you just need an exported HDF5 file. Please make sure you have selected the appropriate electrode arrangement for your experiment. What type of data are you loading? If you comment on the github site it may be easier for me to respond

Ahmad Khan

Whether data should be specifically arranged for the Matlab format to load in the MEAnalyzer. Status: errorl loading fine.


The program constantly shuts down itselves. How can I solve this?

Changxi Xu

Thanks very much for your sharing and updating! It's very useful!



Methods Published in Neuroinformatics:


- added support for more electrode layouts
- added ability to load csv spike trains with no layout associated
- added more functionality for exporting figures in publication-ready format
- added more functionality for voltage visualizations


Fixed bug when exporting data


Now reads files converted with MCS experimenter and allows for different electrode layouts

MATLAB Release Compatibility
Created with R2019a
Compatible with any release
Platform Compatibility
Windows macOS Linux