标题
Deep learning-assisted comparative analysis of animal trajectories with DeepHL
作者
关键词
-
出版物
Nature Communications
Volume 11, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-10-20
DOI
10.1038/s41467-020-19105-0
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Deep attention networks reveal the rules of collective motion in zebrafish
- (2019) Francisco J. H. Heras et al. PLoS Computational Biology
- STEFTR: A Hybrid Versatile Method for State Estimation and Feature Extraction From the Trajectory of Animal Behavior
- (2019) Shuhei J. Yamazaki et al. Frontiers in Neuroscience
- A review of thanatosis (death feigning) as an anti-predator behaviour
- (2018) Rosalind K. Humphreys et al. BEHAVIORAL ECOLOGY AND SOCIOBIOLOGY
- LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks
- (2018) Hendrik Strobelt et al. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
- DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
- (2018) Alexander Mathis et al. NATURE NEUROSCIENCE
- Mastering the game of Go without human knowledge
- (2017) David Silver et al. NATURE
- Anomalous diffusion on the servosphere: A potential tool for detecting inherent organismal movement patterns
- (2017) Naohisa Nagaya et al. PLoS One
- Search and foraging behaviors from movement data: A comparison of methods
- (2017) Ashley Bennison et al. Ecology and Evolution
- Calcium dynamics regulating the timing of decision-making in C. elegans
- (2017) Yuki Tanimoto et al. eLife
- Crickets alter wind-elicited escape strategies depending on acoustic context
- (2017) Matasaburo Fukutomi et al. Scientific Reports
- Mastering the game of Go with deep neural networks and tree search
- (2016) David Silver et al. NATURE
- A partial lesion model of Parkinson's disease in mice – Characterization of a 6-OHDA-induced medial forebrain bundle lesion
- (2015) Jordi Boix et al. BEHAVIOURAL BRAIN RESEARCH
- Auditory modulation of wind-elicited walking behavior in the cricket Gryllus bimaculatus
- (2015) M. Fukutomi et al. JOURNAL OF EXPERIMENTAL BIOLOGY
- Modulation of different behavioral components by neuropeptide and dopamine signalings in non-associative odor learning of Caenorhabditis elegans
- (2015) Akiko Yamazoe-Umemoto et al. NEUROSCIENCE RESEARCH
- Trajectory Data Mining
- (2015) Yu Zheng ACM Transactions on Intelligent Systems and Technology
- Thanatosis
- (2014) Stephen M. Rogers et al. CURRENT BIOLOGY
- idTracker: tracking individuals in a group by automatic identification of unmarked animals
- (2014) Alfonso Pérez-Escudero et al. NATURE METHODS
- Big behavioral data: psychology, ethology and the foundations of neuroscience
- (2014) Alex Gomez-Marin et al. NATURE NEUROSCIENCE
- JAABA: interactive machine learning for automatic annotation of animal behavior
- (2012) Mayank Kabra et al. NATURE METHODS
- The computational worm: spatial orientation and its neuronal basis in C. elegans
- (2011) Shawn R Lockery CURRENT OPINION IN NEUROBIOLOGY
- Tracking apex marine predator movements in a dynamic ocean
- (2011) B. A. Block et al. NATURE
- Biogenic amines, caffeine and tonic immobility in Tribolium castaneum
- (2010) Yusuke Nishi et al. JOURNAL OF INSECT PHYSIOLOGY
- Enhancement of Odor Avoidance Regulated by Dopamine Signaling in Caenorhabditis elegans
- (2010) K. D. Kimura et al. JOURNAL OF NEUROSCIENCE
- Regulation of parkinsonian motor behaviours by optogenetic control of basal ganglia circuitry
- (2010) Alexxai V. Kravitz et al. NATURE
- Animal ecology meets GPS-based radiotelemetry: a perfect storm of opportunities and challenges
- (2010) F. Cagnacci et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- The genome of the model beetle and pest Tribolium castaneum
- (2008) Stephen Richards et al. NATURE
- Pleiotropic antipredator strategies, fleeing and feigning death, correlated with dopamine levels in Tribolium castaneum
- (2007) Takahisa Miyatake et al. ANIMAL BEHAVIOUR
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