Abstract

Freeman's studies on the physiology of the mammalian olfactory system were based on his characterization of activity of neural masses, based on a sigmoid relationship at the mesoscopic scale between population spiking activity as a result of continuous inputs. His early development of computational models to describe oscillatory responses of neural masses allowed him to predict physiological and anatomical properties, some of which required decades of research to be confirmed. His models of neural masses therefore allow us to link between basic physiology and cognitive processes. Through the study of brain physiology at the mesoscopic level, we can understand how internally generated meaning-based responses to sensory input become action and how action leads to perception.