EEG allows us to record activity in the brain in a fast, cheap, and non-invasive way. It is frequently used, both in brain research and for clinical purposes, for example after a stroke or to diagnose sleep disorders. In the lab, we record EEG from the sensorimotor cortex, which is the part of the brain that deals with sensing touch, posture and pain, as well as the planning and execution of voluntary movements. The precise origins and contributors to the EEG signals from sensorimotor cortex are still unclear. In this project, we develop a biologically inspired model of the generation of the EEG signals, aiming to improve the interpretability of EEG recordings from the lab and the clinic.