Rule Based data synthesis renders reverse mapping feasible

Computing EEG data corresponding to a certain dipole configuration enables the mapping of EEG data to individual dipoles with machine learning. Computing the sum of pseudorandom signals enables the decomposition of other signals to pseudorandom seeds. This joins forecasting, recovery, and mapping in mechanisms for generating data from scratch.