Current computer technology cannot explain the speed our brain captures images from the senses and compare them with thousands of other stored images in an instant.

Experience with speech analysis shows that it is very difficult to analyse speech in real time. The variety of forms in which even a single word can arrive at a microphone requires either filter programs or comparison with learned words. Both methods cannot compete with the brain in recognition speed.

There are also other signs that the data acquisition of our senses by the brain works completely different to the way our computers work. Signals from the senses activate whole areas in the brain and the results from one area can be communicated to another.

In computer technology this could be implemented through multiprocessing, which means that several computers solve a part of the recognition each. This also means that the computers have to be connected, which in turn requires complex synchronization to exchange results.

At the first look it seems to be that the connections between the brain cells represent a sort of ‘network wiring’, but at a closer look it turns out that the signal speed in these ‘wires’ is far too low to process the instant recognition of vast amount of data. It is possible that these ‘wires’ are used for messaging in the process of thinking which does not require high speed signal processing.

If information in the brain can be passed between parts of the brain without physical connection it must use a transmission based on electromagnetic waves like a network of radio transmitters and radio receivers.

I want to present a mechanism based on resonance signal processing that is able recognize the images of the senses. The stunning simplicity of the proposed model leads to a beauty which is typical for nature.

This is not an article about the way we think, but it provides the basics necessary for the process of thinking - the building and combination of objects.