日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Machine learning reveals prominent spontaneous behavioral changes and treatment efficacy in humanized and transgenic Alzheimer's disease models.

机器学习揭示了人源化和转基因阿尔茨海默病模型中显著的自发行为变化和治疗效果

Miller Stephanie R, Luxem Kevin, Lauderdale Kelli, Nambiar Pranav, Honma Patrick S, Ly Katie K, Bangera Shreya, Bullock Mary, Shin Jia, Kaliss Nick, Qiu Yuechen, Cai Catherine, Shen Kevin, Mallen K Dakota, Yan Zhaoqi, Mendiola Andrew S, Saito Takashi, Saido Takaomi C, Pico Alexander R, Thomas Reuben, Roberson Erik D, Akassoglou Katerina, Bauer Pavol, Remy Stefan, Palop Jorge J

Open-source tools for behavioral video analysis: Setup, methods, and best practices

用于行为视频分析的开源工具:设置、方法和最佳实践

Luxem, Kevin; Sun, Jennifer J; Bradley, Sean P; Krishnan, Keerthi; Yttri, Eric; Zimmermann, Jan; Pereira, Talmo D; Laubach, Mark

Identifying behavioral structure from deep variational embeddings of animal motion

从动物运动的深度变分嵌入中识别行为结构

Luxem, Kevin; Mocellin, Petra; Fuhrmann, Falko; Kürsch, Johannes; Miller, Stephanie R; Palop, Jorge J; Remy, Stefan; Bauer, Pavol