The Feature Extraction web application, leveraging the eFEL feature extraction library, allows the user to extract a wide variety of electrophysiological features from experimental recordings. Use your own data or make use of contributions by members of the community.

Our offer

  • Allows visual inspection of electrophysiological traces
  • Provides a wide range of features to be selected and extracted from data
  • Output files provides statistics on the extracted features and are formatted to be used in the Hodgkin-Huxley Neuron Builder optimisation workflow


Extract electrophysiological features from single-cell neural activity

With this tool, you can parse the neural activity recorded from individual neurons belonging to different brain regions, or use recordings from neurons simulated via in silico experiments. You may upload your own files, or use pre-recorded traces provided by the community.

The web application has a user-friendly interface that allows filtering of electrophysiological traces according to different criteria (e.g. brain structure, cell type, electrical type, etc.), and makes it possible to visualise and select them in an easy-to-use point-and-click manner.

The output files (in .json format) contain the average values of the extracted features, which can be used for further statistical analysis of electrophysiological behaviour and are suitable for use in individual cell model optimisation through the Hodgkin-Huxley Neuron Builder utility (available on EBRAINS).

The Feature Extraction trace selection panel
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