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1 Ergebnisse
1
Deep-Learning Approach for Revealing Latent Behaviors in Mi..:
, In:
2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
,
Oikawa, Haruki
;
Tsuruda, Yoshito
;
Sano, Yoshitake
... - p. 5114-5119 , 2023
Link:
https://doi.org/10.1109/SMC53992.2023.10394161
RT T1 <cTitle>2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)</cTitle>: T1 <Title>Deep-Learning Approach for Revealing Latent Behaviors in Mice: Development of Walking Trajectories Prediction Model and Applications</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10394161&Exemplar=1&LAN=DE A1 Oikawa, Haruki A1 Tsuruda, Yoshito A1 Sano, Yoshitake A1 Furuichi, Teiichi A1 Yamamoto, Masataka A1 Takemura, Hiroshi YR 2023 SN 2577-1655 K1 Legged locomotion K1 Nose K1 Predictive models K1 Brain modeling K1 Mice K1 Behavioral sciences K1 Trajectory K1 RGB-D camera K1 Deep-Learning K1 Neuroscience SP 5114 OP 5119 LK http://dx.doi.org/https://doi.org/10.1109/SMC53992.2023.10394161 DO https://doi.org/10.1109/SMC53992.2023.10394161 SF ELIB - SuUB Bremen
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