Justification and tuning of the change-point detection (CPD) method.

<p>(A) Video-based, frame-level human annotations (colored areas) and detected change points (vertical gray lines) overlaid on IMU data from the 14-second scratching episode shown in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003431#pbio.3003431.s024&quo...

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Xehetasun bibliografikoak
Egile nagusia:	Romain Fayat (22404831) (author)
Beste egile batzuk:	Marie Sarraudy (22404834) (author), Clément Léna (620337) (author), Daniela Popa (645591) (author), Pierre Latouche (4249681) (author), Guillaume P. Dugué (17560534) (author)
Argitaratua:	2025
Gaiak:	Genetics Neuroscience Biotechnology Cancer Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified subtle motor changes rodent neurophysiological devices providing unparalleled access parkinson &# 8217 inertial time series include orienting movements imposes environmental constraints computationally efficient change based probabilistic clustering unbiased behavioral analysis order behavioral structures view video tracking minimal computational cost elementary components remains candidate behavioral motifs statistically homogeneous segments behavioral phenotyping video recordings identified motifs grooming components computational neuroethology unsupervised framework point detection pipeline detects olfactory exploration motif sequence methodology offers limited scalability induced dyskinesia easily scalable current standard commonly integrated central challenge body kinematics
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Justification and tuning of the change-point detection (CPD) method.

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