psychopy-neuro

To generate BIDS events.tsv files from a PsychoPy experiment, the Skill structures trial results with onset, duration, trial_type, response, and response_time fields using pandas and numpy for data processing.

You can send TTL trigger codes for EEG/fMRI synchronization in PsychoPy by generating event markers intended for acquisition alignment, utilizing the pyparallel dependency to emit trigger codes per trial type during stimulus delivery.

Yes, you can build an auditory oddball task with reaction time collection in PsychoPy. The Skill designs cognitive paradigms using visual or auditory stimuli and captures response-box or keyboard reaction times across structured trials.

The Skill provides offline timing log interpretation and includes Pavlovia deployment considerations for online neuroscience experiments, ensuring accurate stimulus timing and event marker alignment when transitioning from local PsychoPy setups.

The best way to analyze reaction time distributions and remove outliers in Python is by computing RT distributions across trials using scipy and matplotlib, visualizing RT behavior to identify and exclude anomalous response times.