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Eventer is a programme designed for the detection of spontaneous synaptic events measured by electrophysiology or imaging. The software combines deconvolution for detection, and variable length template matching approaches for screening out false positive events. Eventer also includes a machine learning-based approach allowing users to train a model to implement their ‘expert’ selection criteria across data sets without bias. Sharing models allows users to implement consistent analysis procedures. The software is coded in MATLAB, but has been compiled as standalone applications for Windows, Mac and Linux.
Please visit the official Eventer website for more info https://eventerneuro.netlify.app/
While the paper is in preparation, please cite as;
Winchester, G., Liu, S., Steele, O.G., Aziz, W. and Penn, A.C. (2020) Eventer. Software for the detection of spontaneous synaptic events measured by electrophysiology or imaging. http://doi.org/10.5281/zenodo.3991676
Features
- Data analysis
- Machine learning
- Standalone application
- Synaptic event detection
- MATLAB based
- Mac OSX, Linux, Windows
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License
GNU General Public License version 3.0 (GPLv3)User Reviews
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This software saves me so many hours analysing mEPSCs. The machine learning models are easy to create and apply to your data for different waveforms, and have reduced my analysis time by ~90% and increased the accuracy, compared to standard event detection I was previously using. I analyse data acquired using WinEDR and Matlab, which both work well, and the analysis outputs contain everything needed for further statistics and sample traces. 10/10!
