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.
Eventer enables rapid, reproducible and unbiased analysis of synaptic events. To further aid in enhancing reproducability across laboratories, this repository has been established to enable sharing of models trained across a range of model systems.
Wait, you’ve not got Eventer yet?! Quick, head to the download page - you don’t realise what you’re missing out on! From there, we’d suggest using the quickstart guide to get you started using Eventer with your own data. Once you’re done analysing your data, how about helping to share your knowledge? Navigate towards our model repository and enter your machine learning model into the repository enabling others to see how you analyse your data and enhancing reproducibility of data analysis! Lastly, if you’re looking for help then head over to the support section and we’ll do our best to get you on your way. Enjoy!