Optimal Brain Processing: The Key Role of Excitatory-Inhibitory Balance

New research reveals a crucial aspect of brain information processing: the balance between excitatory and inhibitory neuronal activity is key to optimal information encoding. Researchers from the University of Padova, the Max Planck Institute for the Physics of Complex Systems, and EPFL used mathematical models and information theory to show that balanced activity of these two neuron types enables efficient information processing, accurately encoding both long-timescale and rapidly changing inputs. This finding offers new insights into brain information processing and guides future neuroscientific research.