, where each i - rank cluster includes only those weights from the R-cluster that belong to the frequent objects i - equidistant from the focal object, i.e. those separated from the focal object by (i - 1) objects of a sequence.
The state of consciousness
Let's now define 1st rank cluster for each unique object CF of all N unique objects of sequences, put all 1st rank clusters in a set of N clusters and refer the resulting set further as a "base set". It does not matter if the base set consist of 1strank clusters of only past or of only future because both base sets would differ only in sign.
It is easy to show now that any R-cluster of both a future KC,R and a past KC,-R for any unique object CF, can be represented as a composition of the 1st rank clusters from the base set.
Let's now force robot's mind to learn harmful behaviour aiming to define signature subsets of the base set corresponding to each harmful behaviour that the AI had been learned. This opens a way for predicting the potentially harmful changes in robot's consciousness allowing to completely control its mind and reset the robot's mind to the "safe" state of consciousness at any given time if signature of harmful learning was discovered.
The technique of interference of rank clusters is an analog of the interference of excitation waves in the cerebral cortex, which allows us to model the wave processes of thinking in the cerebral cortex.
It is not difficult to create a method for predicting the appearance of new objects of a sequence using the interference of coherent i-clusters of objects from the known part of sequence. The interference of parallel clusters allows us to find parallel meanings, and so on, the rank clusters' analysis allows us to do so much more.
The hierarchical sequence memory
The research examines the oscillations of overall weight of frequent objects while entering sequence, and shows that the maximum of the total weight coincides with a moment when the current context of the sequence change. These successive total weight peaks form a sequence representing next level of sequence memory. Creating an artificial unique object and assigning to it a cluster corresponding to a peak allows to jump to a sequence of artificial objects representing next tier of abstract in sequence memory, thus forming complex hierarchy of knowledge in the sequence memory one tier after another.
Back to cerebral cortex
Conducting an analogy between the proposed model of sequence memory and the cerebral cortex, it can be suggested that the objects of the original sequences may be encoded by the "grandmother's cells" located in the inner granular layer, while said artificial objects may be encoded by the cells of the outer granular layer. Each pyramidal neuron in the outer layer of pyramidal neurons, may presumably play a role of a weight adder for a particular set of "grandmother's cells" located in the inner granular layer and if activated it sends spike to a particular neuron located in the outer granular layer. A column of neurons consisting of said two interconnected neurons of the outer pyramidal layer and the outer granular layer may represent the "silent cells" (named so by Vyacheslav Shvyrkov in 1986) connected to a cluster of "grandmother's cells" located in the inner granular layer. This pair of "silent cells" is activated only if the total activity of the "grandmother cells" cluster exceeds the pyramidal neuron adder' activation threshold.
Neuromorphic chip design
As part of the research and development, original architecture of neurochip for hierarchical sequence memory has been drafted, the energy efficiency of which is expected to exceed the existing neurochips by orders of magnitude. The chip can work simultaneously with sequences of objects of different nature and is capable of linking of all incoming sequences independent of their nature through synchronization of measures including but not limited by emotional, ethical, linear and angular measures, time, field strength etc. Due to this, the chip can store and retrieve the sequences of any nature that have comparable rounded length and are synchronized in at least one measure.