Version 1
: Received: 1 July 2023 / Approved: 4 July 2023 / Online: 5 July 2023 (07:19:18 CEST)
How to cite:
Guo, C.; Chen, Y.; Ma, C.; Hao, S.; Song, J. Can MiceGPT be True? A Survey on AI-empowered Mice Behavior Analysis Applications and Solutions. Preprints2023, 2023070271. https://doi.org/10.20944/preprints202307.0271.v1
Guo, C.; Chen, Y.; Ma, C.; Hao, S.; Song, J. Can MiceGPT be True? A Survey on AI-empowered Mice Behavior Analysis Applications and Solutions. Preprints 2023, 2023070271. https://doi.org/10.20944/preprints202307.0271.v1
Guo, C.; Chen, Y.; Ma, C.; Hao, S.; Song, J. Can MiceGPT be True? A Survey on AI-empowered Mice Behavior Analysis Applications and Solutions. Preprints2023, 2023070271. https://doi.org/10.20944/preprints202307.0271.v1
APA Style
Guo, C., Chen, Y., Ma, C., Hao, S., & Song, J. (2023). Can MiceGPT be True? A Survey on AI-empowered Mice Behavior Analysis Applications and Solutions. Preprints. https://doi.org/10.20944/preprints202307.0271.v1
Chicago/Turabian Style
Guo, C., Shuang Hao and Jie Song. 2023 "Can MiceGPT be True? A Survey on AI-empowered Mice Behavior Analysis Applications and Solutions" Preprints. https://doi.org/10.20944/preprints202307.0271.v1
Abstract
Mice are one of the frequently used animal models in science research whose behavioral characteristics can provide much valuable information in biology, neuroscience, and pharmacology. Nowadays, artificial intelligence is widely used in mice behavior analysis. Integrated AI systems such as ChatGPT and VisualGPT are already available, and we discuss the feasibility of MiceGPT to help researchers identify and classify mouse behavior more easily. We review the applications of mice behavior analysis, analyze the tasks of deep learning on these applications based on an AI pyramid, and finally summarize the AI approaches to solve these tasks. Based on these summaries, we propose three MiceGPT architectures to demonstrate the theoretical feasibility of MiceGPT.
Medicine and Pharmacology, Neuroscience and Neurology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
