My work focuses on developing machine learning models to decode spatial navigation in rodents based on excitatory and inhibitory neuronal activity. During my Ph.D., I developed an automated path integration task (AutoPI) to study spatial navigation in control and Alzheimer's model mice. I recorded the spiking activity of cells from the hippocampus and medial entorhinal cortex using in vivo electrophysiology. Currently, my colleagues and I are focused on decoding spatial information—such as the movement direction or location of the mouse around an object in navigation tasks—using the activity of different cell types. This work aims to enhance our understanding of neural circuit function and its potential clinical applications for neurodegenerative diseases.