首页|A circadian behavioral analysis suite for real-time classification of daily rhyt hms in complex behaviors
A circadian behavioral analysis suite for real-time classification of daily rhyt hms in complex behaviors
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from bi orxiv.org: "Measuring animal behavior over long timescales has been traditionally limited t o behaviors that are easily measurable with real-time sensors. More complex beha viors have been measured over time, but these approaches are considerably more c hallenging due to the intensive manual effort required for scoring behaviors. Re cent advances in machine learning have introduced automated behavior analysis me thods, but these often overlook long-term behavioral patterns and struggle with classification in varying environmental conditions. "To address this, we developed a novel pipeline to automate pre-existing machine learning behavior classifiers and a novel attentive long short-term memory sequ encing model for robust, long-term analysis of behavior. "Our system automatically classifies nine home cage behaviors with a performance approaching that of expert-level human labelers. Critically, classification occ urs continuously, across multiple animals, and in real time.
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