Abstract
The paradigm of regulation and control for vital functions implement in biological systems with primitive feedback is coarse, resulting in it is far from reality. In our researches we offer new principles of control and information transfer based on the simulation of collective wave processes in the nervous system. Reviewed, analyzed and simulated space of neuronal dendrion as a communication space. This is reflected in the fact that we have discovered and modeled wave propagation processes and collective communicative interactions of waves in structures electro-potentials of neuronal dendrions. It were later expressed in a number of neuroprocessor algorithms their functioning, as reflected in our patented neuromodels.
In the generation of solitons their focus and achievement to the certain amplitude is on the needs of the host country, that is, can be seen as a feedback (FВ), however, without the FB that is more progressive. So it's easier and requires less time to pro-cess – only with a direct link between soma and a distal dendrion part, just as the associated voltage and current in Ohm's law.
Also on model experiments was proved automorphism of a neurodendrion as collective entity. Scheme are presented in article simulate of action of generalized shift operator.
The neuron dendrion Mystery has long been known. A nerve cell is extremely distinguished from a variety of cells in the organism by its highly developed dendrion resembling trees. The official explanation for this phenomenon at present are within the framework of the theory of receptive fields, supposedly induce to neuron as information collector from other neurons, thus increasing the contact surface. However, the picture is changed radically if we consider the neuron as a self-sufficient microcommunity. According to this you can present it as a multiprocessor executing parallel set of strictly-consistent operations. And the construction of its dendriona is needed for just such opportunities to collectively-like functioning, and not vice versa. Application of the set out methodology in the artificial neural networks can be a whole new paradigm for the development of neuro-computers. The details will be discussed in our collective monography «Neuro-computer Paradigm and Society» is just published by the Publishing House of Moscow State University by M.V. Lomonosov: http://державники21век.рф/2012/10/nejrokompyuternaya-paradigma-i-obshhestvo/