Mouse Data

Mouse data is increasingly central to diverse biological and medical research, serving as a model organism for understanding human physiology and disease. Current research focuses on developing advanced computational methods, including deep convolutional neural networks, transformers, and spiking neural networks, to analyze various types of mouse data, such as video recordings of behavior, electroencephalography (EEG) signals, and diffusion-weighted MRI scans. These analyses aim to improve the accuracy and efficiency of behavioral assessments, disease modeling, and drug discovery, bridging the gap between animal models and human applications through techniques like transfer learning and invariant risk minimization. The resulting insights have significant implications for advancing neuroscience, accelerating biomedical research, and improving human healthcare.