Detection of Coincidences and Generation of Hypotheses — a Proposal for an Elementary Cortical Function

A framework for a model of elementary cortical function is presented which is based on the detection of coincident events by intracortical processing. By extracting coincidences knowlegde about the rules of interaction with the environment can be acquired. Vice versa this knowledge can be used for the generation of anticipatory hypotheses and hypotheses about ambiguous data. Some basic functions of visual recognition could be explained by this model if recognition is considered to be in strong connection with motoric action.