Oscillation in a network model of neocortex

A basic understanding of the relationship between activity of individual neurons and macroscopic electrical activity of local field potentials, or electroencephalogram (EEG), may provide guidance for experimental design in neuroscience, improve development of therapeutic approaches in neurology, and offer opportunities for computer-aided design of brain–computer interfaces. We study the relationship between resonant properties of neurons and network oscillations in a computational model of neocortex. Our findings suggest that resonance is associated with subthreshold oscillation of neurons. This subthreshold behavior affects spike timing and plays a significant role in the generation of the network's extracellular currents reflected in the EEG.