Automatic detection of foot-strike onsets in a rhythmic forelimb movement
Rhythmic movement is the fundamental motion dynamics characterized by repetitive patterns. Precisely defining onsets in rhythmic movement is essential for a comprehensive analysis of motor functions. Our study introduces an automated method for detecting rat's forelimb foot-strike onsets using...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-09-01
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| Series: | Neuroscience Research |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0168010224000543 |
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| author | Kotaro Yamashiro Yuji Ikegaya Nobuyoshi Matsumoto |
| author_facet | Kotaro Yamashiro Yuji Ikegaya Nobuyoshi Matsumoto |
| author_sort | Kotaro Yamashiro |
| collection | DOAJ |
| description | Rhythmic movement is the fundamental motion dynamics characterized by repetitive patterns. Precisely defining onsets in rhythmic movement is essential for a comprehensive analysis of motor functions. Our study introduces an automated method for detecting rat's forelimb foot-strike onsets using deep learning tools. This method demonstrates high accuracy of onset detection by combining two techniques using joint coordinates and behavioral confidence scale. The analysis extends to neural oscillatory responses in the rat's somatosensory cortex, validating the effectiveness of our combined approach. Our technique streamlines experimentation, demanding only a camera and GPU-accelerated computer. This approach is applicable across various contexts and promotes our understanding of brain functions during rhythmic movements. |
| format | Article |
| id | doaj-art-d91af6e356614f4b841d2638842db7c1 |
| institution | Kabale University |
| issn | 0168-0102 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Neuroscience Research |
| spelling | doaj-art-d91af6e356614f4b841d2638842db7c12024-11-21T06:02:34ZengElsevierNeuroscience Research0168-01022024-09-012064150Automatic detection of foot-strike onsets in a rhythmic forelimb movementKotaro Yamashiro0Yuji Ikegaya1Nobuyoshi Matsumoto2Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo 113-0033, JapanGraduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo 113-0033, Japan; Institute for AI and Beyond, The University of Tokyo, Tokyo 113-0033, Japan; Center for Information and Neural Networks, National Institute of Information and Communications Technology, Suita City, Osaka 565-0871, JapanGraduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo 113-0033, Japan; Institute for AI and Beyond, The University of Tokyo, Tokyo 113-0033, Japan; Correspondence to: Laboratory of Chemical Pharmacology, Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.Rhythmic movement is the fundamental motion dynamics characterized by repetitive patterns. Precisely defining onsets in rhythmic movement is essential for a comprehensive analysis of motor functions. Our study introduces an automated method for detecting rat's forelimb foot-strike onsets using deep learning tools. This method demonstrates high accuracy of onset detection by combining two techniques using joint coordinates and behavioral confidence scale. The analysis extends to neural oscillatory responses in the rat's somatosensory cortex, validating the effectiveness of our combined approach. Our technique streamlines experimentation, demanding only a camera and GPU-accelerated computer. This approach is applicable across various contexts and promotes our understanding of brain functions during rhythmic movements.http://www.sciencedirect.com/science/article/pii/S0168010224000543Rhythmic movementSomatosensoryPrimary somatosensory cortexDeep learning |
| spellingShingle | Kotaro Yamashiro Yuji Ikegaya Nobuyoshi Matsumoto Automatic detection of foot-strike onsets in a rhythmic forelimb movement Neuroscience Research Rhythmic movement Somatosensory Primary somatosensory cortex Deep learning |
| title | Automatic detection of foot-strike onsets in a rhythmic forelimb movement |
| title_full | Automatic detection of foot-strike onsets in a rhythmic forelimb movement |
| title_fullStr | Automatic detection of foot-strike onsets in a rhythmic forelimb movement |
| title_full_unstemmed | Automatic detection of foot-strike onsets in a rhythmic forelimb movement |
| title_short | Automatic detection of foot-strike onsets in a rhythmic forelimb movement |
| title_sort | automatic detection of foot strike onsets in a rhythmic forelimb movement |
| topic | Rhythmic movement Somatosensory Primary somatosensory cortex Deep learning |
| url | http://www.sciencedirect.com/science/article/pii/S0168010224000543 |
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