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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. See SourceForge/Eventer for further information, GitHub/Eventer for source code and YouTube/Eventer for a video tutorial on getting started quickly.
Data Analysis, Machine Learning, Standalone Application, Cross Platform, Synaptic Event Detection
Data Analysis, Machine Learning, Standalone Application, Cross Platform, Synaptic Event Detection
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