Abstract

Motivation: Virtual brains are proving quite successful for BOLD signal simulation but they still lack a specific mathematical description of individual brain regions. Goal(s): Our goal was to develop a specific mean field model (MF) of the hippocampus CA1 microcircuit. Approach: A bottom-up formalism recently developed for the cerebral and cerebellar cortex was adopted. It is based on a transfer function, which remaps neuronal microscale features from cellular recordings to the mean field mesoscale domain. Results: The hippocampus CA1 MF reproduced the neuronal activity of the microcircuit and captured learning mechanisms. Impact: The mean field of the hippocampus CA1 microcircuit enriches the growing collection of region-specific models. Its forthcoming integration into virtual brains together with other region-specific models has the potential to achieve a comprehensive and personalised BOLD signal dynamics simulation.