In the overall picture of the relationship between the neurons there is a certain order, which is clearly inherited, but also the details of the connection there is a degree of randomness. Education is, apparently, changing the connections between neurons, which leads to facilitate the flow of excitation of a neuron in a certain direction. Assume that the training was excited to one group of input neurons. This should lead to the excitation of a neuron's output. However, several output neurons excited, some of which are excited by accident. As a result, communication training should be reconstructed so that a desired excited output neuron.
On the basis of the first and second description of the learning process, the reader may be a number of issues. First, what kind of laws is a synthesis of information obtained? Secondly, how the brain knows how to regroup communication between neurons? Third, as the process of regrouping relations? It is obvious that all these issues are linked, and the answer to one of them can provide answers to other.
One of the answers to the first question in the language of mathematics can be presented as the calculation of conditional probabilities.
Intensively developed area of ​​modeling, called the recognition of images.
The operation itself recognition that occurs in the brain is subconsciously escaping from our understanding. Therefore, the share of the researcher can only speculate and search for evidence in psychology and physiology, checking credibility on a computer. If the hypothesis is correct, the machine, which incorporated the program created on the basis of this hypothesis, must be able to recognize objects. True, it does not mean that a person learns the same way as is assumed in the hypothesis. After a plane and fly a rocket is not because they copied the principle of flying birds. But in any case, if 'the car will learn to recognize the images as well as they recognize the person, there will be a major technical problem is solved, and many areas of human activities will be automated.
Identification of complex images man cannot be based only on the elementary mechanisms of inheritance. In this case, the main role played by education, experience.
We know people distinguish a cat from a dog no matter under what perspective and in what light they can see. Therefore, in our minds is something that does not depend on the conditions of observation. That something is the so-called abstract notion of a class of objects, their visual image.
What causes a visual image?
Abstract visual image seems to be forming in our minds experience. We are seeing things from his childhood at various angles and highlight those features that remain constant and not dependent on the conditions of observation. Of these, our minds and creates a visual image for this class of objects. For the recognition of symptoms is sufficient to compare images of a certain object reference to these traits.