Resonator chains have the task to recognize objects. An object is a combination of signals coming from nerves.

Note that the procedure below is not necessary the exact way how the brain handles the process chemically. It is just demonstrating the principles of resonator chains and their ability to recognize vast amount of data in a split of a second.

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The yellow, blue and red groups in the T column are transmitter molecules in transmitter brain cells. The transmitter brain cells are connected to nerves coming from the senses.

The columns 1,2 and 3 are the Resonator Chains. Each resonator chain contains receiver molecules that respond with resonance when the corresponding transmitter molecule is activated.

Each receiver molecules has the ability to operate a switch. There are several ways how these switches are implemented, but this is not so important for the understanding of the process.

The boxes at the top provide a constant recognition signal and a stronger programming signal when during learning.

Learning

Assume that only the yellow signal arrives from the nerve and we want a recognition chain to recognize this event.

When the transmitter brain cell connected to the yellow nerve receives a signal it will force the yellow transmitter molecule to oscillate. This signal is received by the yellow receiver molecules in the resonator chains and they close their switches.

Now the programming signal is applied to the first resonator chain. The yellow switch is closed therefore it passes through to the yellow switch.

The blue switch is open and the programming signal cannot go further. Now a simple rule applies. When a switch is open the programming signal closes the switch permanently and disables the resonator to activate the switch.

The same happens when the programming signal hits the open red switch. The programming signal disables this switch as well and arrives at the object molecule at the bottom of the chain.

The result of the programming is shown above. The disabled switches are pink and the group at the bottom is marked by a yellow sphere to indicate that this is an object molecule which we can call YELLOW.

These pictures are the programming results for the objects BLUE-RED and YELLOW-RED.

This is the result when programming is finished.

• Yellow can be recognized by chain one.
• Blue/Red can be recognized by chain two.
• Yellow red  can be recognized by chain three.

  You may have already noticed that two objects are recognizing the yellow/red combination. This is actually not a disadvantage because it tells the brain that several objects are included in a pattern. With increasing numbers of resonators this problem is reduced, but it may be responsible for the fact that we get confused by certain sound and visual patterns.

  Combination of Resonator Chains

  

  The real advantage of resonator chains is that the object molecules can be used as transmitter molecules to form new objects in other resonator chains.

  Combined objects can come from different senses, eyes, ears, smell taste or touch and are processed instantly and simultaneously.

  Combined objects can be fed into resonator chains attached to nerves which activate mussels. In this way each mussel has a sort of individual address.

  Event Chains

  Event chains are necessary to identify sequential processes like speech.

  In an event chain the recognition signal is not fed through switches, it is passed on from one resonator to the next and finally reaches the event transmitter. If the last event is fed back into the first we have a timer.

  A mixture of timer events, sequential events and objects can be used to control complex movements like the flight of a bumblebee, not an easy task in real time.

  Conclusions

  Resonator chains are a simple and very fast method to implement nearly instant recognition and reaction.

  In addition it is a process that requires no boot process, which is the initial program that every computer must have. Resonator chains and senses can evolve in life by errors in the copying of sensors. Errors are not errors any more - they increase the bandwidth of the sense and therefore its accuracy.