論文 - 詳細
| RRC ID | 76006 |
|---|---|
| 著者 | Maekawa T, Higashide D, Hara T, Matsumura K, Ide K, Miyatake T, Kimura KD, Takahashi S. |
| タイトル | Cross-species behavior analysis with attention-based domain-adversarial deep neural networks. |
| ジャーナル | Nat Commun |
| Abstract |
Since the variables inherent to various diseases cannot be controlled directly in humans, behavioral dysfunctions have been examined in model organisms, leading to better understanding their underlying mechanisms. However, because the spatial and temporal scales of animal locomotion vary widely among species, conventional statistical analyses cannot be used to discover knowledge from the locomotion data. We propose a procedure to automatically discover locomotion features shared among animal species by means of domain-adversarial deep neural networks. Our neural network is equipped with a function which explains the meaning of segments of locomotion where the cross-species features are hidden by incorporating an attention mechanism into the neural network, regarded as a black box. It enables us to formulate a human-interpretable rule about the cross-species locomotion feature and validate it using statistical tests. We demonstrate the versatility of this procedure by identifying locomotion features shared across different species with dopamine deficiency, namely humans, mice, and worms, despite their evolutionary differences. |
| 巻・号 | 12(1) |
| ページ | 5519 |
| 公開日 | 2021-9-17 |
| DOI | 10.1038/s41467-021-25636-x |
| PII | 10.1038/s41467-021-25636-x |
| PMID | 34535659 |
| PMC | PMC8448872 |
| MeSH | Animals Attention* / physiology Behavior, Animal* Caenorhabditis elegans / physiology Coleoptera / physiology Dopamine / metabolism Dopaminergic Neurons / metabolism Dopaminergic Neurons / pathology Humans Mice Mice, Inbred C57BL Neural Networks, Computer* Parkinson Disease / pathology Species Specificity |
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オルトメトリクス指標項目
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| 最多言及媒体 | X(Twitter) |
| 各媒体での言及数の合計 | 30 |
| 過去6か月間でのオルトメトリクス指標の変動値 | 0.0 |
| リソース情報 | |
| 線虫 | tm1356 |