New GUI interface for U’n’Eye!

Tim Näher (ESI, Frankfurt) just created a GUI interface in Matlab for our U’n’Eye algorithm for classifying eye movements. His application can be downloaded on GitHub. Our algorithm’s details are here:

  • Bellet, M. E.*, Bellet, J.*, Nienborg, H., Hafed, Z. M.**, & Berens, P.** (2019). Human-level saccade detection performance using deep neural networks. Journal of Neurophysiology, https://doi.org/10.1152/jn.00601.2018 [PDF][OPEN-SOURCE CODE][DATA SETS][WEB SERVICE].
    • * Contributed equally
    • ** Co-corresponding authors
    • Also see:
      • Web service for detecting saccades/microsaccades in your own data using our deep neural network. Simply follow the link and then upload your data to train the network. Alternatively, you can use the weights of a trained network and upload data to have the saccades/microsaccades being automatically detected
      • GUI interface created by Tim Näher: on GitHub