Gradient boosted decision trees reveal nuances of auditory discrimination behavior
(2024)
Journal Article
Griffiths, C. S., Lebert, J. M., Sollini, J., & Bizley, J. K. (2024). Gradient boosted decision trees reveal nuances of auditory discrimination behavior. PLoS Computational Biology, 20(4), Article e1011985. https://doi.org/10.1371/journal.pcbi.1011985
Animal psychophysics can generate rich behavioral datasets, often comprised of many 1000s of trials for an individual subject. Gradient-boosted models are a promising machine learning approach for analyzing such data, partly due to the tools that all... Read More about Gradient boosted decision trees reveal nuances of auditory discrimination behavior.