Publications by authors named "Kevin Wittingstall"
Front Neurosci
September 2021
Article Synopsis
- Mouse behavior is essential for evaluating the effectiveness of therapies, and analyzing it through continuous monitoring helps understand brain diseases in mice.
- By developing novel approaches to analyze detailed behavioral data, the study hypothesizes that short-term behavioral patterns indicate physiological states, allowing for predictive modeling in classifying mouse behavior.
- Various machine learning techniques, including logistic regression and deep learning algorithms, demonstrated high accuracy in classifying mouse behaviors, with a combination of methods achieving up to 96% accuracy, showing potential for future research in diagnosing brain-related issues.
