Our artwork depicts a mathematical representation of the famous perceptron, the widely used workhorse behind artificial neural networks, invented by Frank Rosenblatt in 1957. With the broadly celebrated advances in the field of deep learning, the greater public starts directing existential questions about basic as well as advanced brain functions towards Computer Scientists. This results in a plethora of highly speculative assumptions on the actual biological neural networks. We here alluded to the painting of René Magritte „The treachery of images“; this work depicts a pipe, which, in the form of an oil painting, is nothing more than a visual representation and will never materialize into a real pipe. Similarly, the artifical neurons modelled in current AI-research are mere oversimplified mathematical echoes of the complex systems that we as neuroscientists aim to decipher.