Pattern-wave model of brain. Mechanisms of information processing, memory organization

Author: Alexey Redozubov The structure of the axon­dendrite connections of neurons of the brain creates a rich spatial structure in which various combinations of signals surrounding neurons are present. Structure of dendritic trees and shape of dendritic spines allow to repeatedly increase combinatorial component through cross synapses influence neighboring neurons. In this paper it is shown that the diffuse spreading of neurotransmitters allows neurons to detect and remember significant set of environmental activity patterns. Extrasynaptic metabotropic receptors clusters are the core element of that. The described mechanism leads to the appearance of the wave processes, based on the propagation of the front­line areas of spontaneous activity. In the proposed model, any compact pattern of neural activity is seen as a source emitting a diverging wave endogenous spikes. It is shown that the spike pattern of the wave front is strictly unique and has uniquely defined pattern that started the wave. The propagation of the waves with a unique pattern allows anywhere in brain by passing by wave patterns judge the whole brain information processes. In these assumptions naturally described mechanism of projection information between regions of the cortex. Performed computer simulations show the higher information effectiveness of such model. Overview Brain handles information. Perhaps, it is the only thing that can be said about the brain with some confidence. In what form this information is represented and how operations occur on it ­ today, it is the open question. Similar to the brain, computers are also able to process information. It is clear how information comes into a computer, what forms information takes, how it memorized and based on what principles converted. Of course, it is very tempting to use the computer analogy for the brain design and try to find there something similar to the computer modules and programs. But, unfortunately, the architecture of the brain is so different from the computer architecture that a direct comparison doesn't add understanding how the brain works. When there's no satisfactory explanatory theory available, we have to operate the ideas which, although do not offer a complete answer, but indicate the directions of searches that may possibly lead to success. In traditional neuroscience there are two main concepts that claim to explain how the brain processes information. The first concept is the idea of ​ ​ the "grandmother neurons" and patterns of neural activity. This concept is well illustrated by the many …