The Maximum Information Principle of Place Cell Activity

Spatial cognitive function is crucial for the animal’s survival. However, formation of place codes in different dimensional spaces cannot be uniformly explained. In this paper, a constrained optimization model based on information theory constructed to explain cell activity across species. The question proposed as, using limited amount neural energy, how design field obtain most efficient spatial representation? Variational techniques are applied and results suggest that will comply with certain centralized distribution (normally Gaussian form) automatically convey largest per spike, under constraint energy. natural habitat property locomotion experience statistics also affected codes. These findings not only answer whether isotropic spaces, but provide an insight about maximum principle activity.