Bio-prediction

About the project

Investigated the congruency effect of cues on biological motion perception through behavioral and EEG studies.

Personal contributions

Behavioral:

• Conducted three behavioral experiments involving 60 participants to study the influence of action, emotion, and gender cues.
• Introduced a Bayesian adaptive psychometric method (QUEST) to optimize threshold estimation and adaptation during the experiments.
• Designed and documented experimental procedures to ensure consistent and high-quality data collection.
• Supervised and trained research assistants in data collection techniques.

EEG:

• Studied the temporal dynamics of action and biological motion perception using EEG data from 20 participants.
• Involved in experimental design, data collection, and training of research assistants.
• Assisted in EEG data preprocessing, analysis, and visualization using Python (MNE, scikit-learn, Matplotlib).