Figure 1.

Schematic representation of the model neuronal network. The model consists of 128 fully interconnected units, representing neuronal lumps including pyramidal neurons and interneurons. Any two units are equally interconnected. The collective output of all units is filtered through a sigmoid function or coherency detector (input-output function in inset and Equation 2). The horizontal axis represents the collective output of the model, the vertical axis is the detector response. The output of the coherency detector is used as input for the dynamics of the connectivity parameter g, which is common for all units.