Although traditional artificial neural networks have been successfully applied to pattern recognition due to its associative capabilities they, nevertheless, lacking temporal components needed for higher cognitive tasks. It is now accepted amongst scienctists that the temporal behavior of neuron spikes cannot be neglected. We introduce a differential equation based time-continuous cognitive model that embraces the searched for charcteristics. Our model is able to build out a simulus that is regarded to be indisputable in human brains to show sociological behavior like empathy. A soon realizable application is the extrapolation of external reality and, therefore, an enhanced exploitation of the environment.