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Vol.33 No.3 | June 30, 2024

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KSBNS-APSN 2024 en Experimental Neurobiology in SCIe As of August 2017 Covered from 2015
2020 Impact Factor 3.261. 2021 Impact Factor 3.800. 2022 Impact Factor 2.4. 2023 Impact Factor 1.8 KSBNS-APSN 2024

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The cover illustrates a study using 3D motion capture and deep LSTM networks to detect early signs of obesity in mice. It features 3D skeleton data from the egocentric viewpoint of freely moving mice and a deep LSTM network trained to predict identity. The visual includes neural network layers and two mice representing diet-induced obese models. The study shows the network effectively encodes obese-like motion, highlighting the advantage of deep learning for early obesity detection and its potential in future healthcare applications.