A Python toolkit for standardizing the analysis of IntelliCage experiments
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Updated
Sep 14, 2026 - Python
A Python toolkit for standardizing the analysis of IntelliCage experiments
Code and materials for studying how infants learn and adapt to changing, uncertain environments using a probabilistic reversal learning task, anticipatory looking, eye-tracking, EEG, and Hierarchical Gaussian Filter (HGF) computational modelling.
Developmentally appropriate probabilistic reversal-learning task for children (4+), investigating learning from social and non-social feedback.
Probabilistic Reversal Learning (PRL) Task
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