Video Processing and Monitoring Animal Movement Models to Measure Learning and Memory in the T Maze Spontaneous Alternation Test with YOLO Implementation

Monitoring the behavior of mice as an animal model is vital in medical research for understanding diseases and testing potential drugs. The T Maze Spontaneous Alternation Test measures learning and memory in mice. This paper proposes a video processing system using YOLOv8 for real-time tracking of mice, aiming to enhance accuracy and efficiency over traditional manual methods. Comparative experiments demonstrate a significant increase in data accuracy and efficiency. Our system achieves an average accuracy of 0.951 with a recall of 0. 981. The system automates behavior analysis in a T maze, offering potential applications in research on neurological disorders and cognitive impairments.

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Publication Details

Published
2024-10-24
DOI
https://doi.org/10.1109/fortei-icee64706.2024.10824502
Primary Topic
Neuroscience and Neuropharmacology Research
Type
article
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article

Video Processing and Monitoring Animal Movement Models to Measure Learning and Memory in the T Maze Spontaneous Alternation Test with YOLO Implementation

Meiyanto Eko Sulistyo, Sutrisno Ibrahim, Subuh Pramono, Muhammad Hamka Ibrahim et al.
Neuroscience and Neuropharmacology Research
article

Video Processing and Monitoring Animal Movement Models to Measure Learning and Memory in the T Maze Spontaneous Alternation Test with YOLO Implementation

Meiyanto Eko Sulistyo, Sutrisno Ibrahim, Subuh Pramono, Muhammad Hamka Ibrahim, Faisal Rahutomo, Joko Hariyono, Nanang Wiyono, Dian Eka Febriyanti Adz Zahra
article en

Abstract

Monitoring the behavior of mice as an animal model is vital in medical research for understanding diseases and testing potential drugs. The T Maze Spontaneous Alternation Test measures learning and memory in mice. This paper proposes a video processing system using YOLOv8 for real-time tracking of mice, aiming to enhance accuracy and efficiency over traditional manual methods. Comparative experiments demonstrate a significant increase in data accuracy and efficiency. Our system achieves an average accuracy of 0.951 with a recall of 0. 981. The system automates behavior analysis in a T maze, offering potential applications in research on neurological disorders and cognitive impairments.

Sebelas Maret University (ID)
Openalex Percentile: Top 73%
Neuroscience and Neuropharmacology Research
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Video Processing and Monitoring Animal Movement Models to Measure Learning and Memory in the T Maze Spontaneous Alternation Test with YOLO Implementation — Meiyanto Eko Sulistyo, Sutrisno Ibrahim, et al. · (2024) | TGRS Research Map | TGRS