AI Use in EEG Data Processing

A survey for researchers who use, evaluate, or are considering artificial intelligence tools while processing and analyzing EEG data.

About this study

This survey explores how researchers in psychology, neuroscience, and cognitive science process and analyze EEG data, and how they use AI tools in that work.

Estimated completion time: about 15 minutes.

Your responses are anonymous and will be used only in aggregate.

EEG processing refers to the steps that convert raw electroencephalographic recordings into analyzable signals and measures, including importing, montaging, filtering, bad-channel handling, re-referencing, artifact correction, epoching, baseline correction, time-frequency decomposition, source estimation, quality control, and statistical procedures.