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Neural Network's Deep Structural Analysis
 
The basic principles for the applied combination of deep-structure theory with brain experimental biology are the following:
 
a) The experiment of neoadaptationistic biology is the foundation of methodology of the new brain science, and deep-structure theory is the basic theoretical framework of it.
b) Introduce the strategy and vitastate concepts into the neurological research, with the ideas of neural strategy and neural vitastate as its core concepts to establish the new theoretical paradigm of deep-structure neural science.
c) Distinguish the units of neural strategy and neural vitastate by comparative studies of behavioral phenotypes. Discover and establish an animal's neural vitastates through the studies of animal behavioral vitastates.
d) On the basis of the empirical evidence and arguments in molecular and cell neurobiology, analyze the modulation mechanism of the neural network with the vitastates' modulating structure as the foundation.
 
According to the deep-structure theory, although the modulation mechanism of behavioral vitastate is complex, it is formed by designing various network patterns on a piece of material carrier, the brain nerve cells. In this way, the structure of nerve cells must satisfy the switch of different pattern networks and the simultaneous storage of different pattern networks. Thus, we can see that only the nerve cells have a unique shape, being covered with a variety of tentacles with different length and thickness, a structure called synapse. That is totally different from the other cells. Synapses enable a cell to send signals to a number of cells at the same time, while also receiving signals from a number of other cells. In this way, the cell can take part in different network patterns, and different networks through these synapses can realize their simultaneous reserve.
 
It must be noted that in behavior and movement, rapid response is needed. As a result, these regulating networks, based on such ecological condition and objective, could not rely on the ancient hormone system, because it reacts slowly and its modulation differentiability is too low. This is the fundamental reason why the nervous system was created. The nerve has such a special advantage in the technical structure that it can differentiate large numbers of complete sets of specific modulating networks, to match with large numbers of behavior vitastates. Each neuron or fiber, through the special structure of synapses, connects with another neuron or fiber, ensuring the specialized and isolated connection, realizing a high degree of precision and accuracy, and preventing the interference of other chemical factors in the brain's inner environment. Moreover, the neuro-electronic signal transfer is faster than the original slow reaction based on chemical signal. This special new technical structure enables the higher living organisms to have a reliable technical support for their new ecological adaptability, which is based on a large-scale differentiation of behavioral vitastate.
 
Taking the nervus centralis cells, for example, their differentiation of axons and dendrites is a typical technical structure preparing for serving asynchronous vitastates. From the anatomical point of view, the biggest feature of the brain cortex is that it is distributed with nearly one hundred billion neurons in the cortex that are only a few millimeters thick. These neurons, through a large number of connecting fibers (axons and dendrites), mutually form a network of complex paths. Here is where the biggest specialness of this structure differs from that of organs in other parts of the organism. This particular technical structure is specifically prepared just for the highly diversified modulating of brain vitastates. As far as the vitastates' differentiation densities are concerned, the behavioral vitastate is of the highest differentiation density. Therefore, in order to harmonize the holistic system with each relevant vitastate, the modulation mechanism of one regulating network target at one vitastate must be built.
 
As far as an animal's physiological structures are concerned, meeting the needs of one vitastate set is different in the structural design compared with meeting the needs of multiple sets of vitastates. The more physio-morphs it carries, the more complex is its physiological modulation function, because its physiological modulation mechanism needs to use more sophisticated procedures to deal with the competition and compromise among many more vitastates. As an animal's fastest evolved modulation mechanism, the brain is mainly used to deal with all kinds of information about animal behavior and movement. Animals with a higher complexity of vitastates may be more complex in their information processing of behavior and motion. Therefore, the brain's network structure needs to add additional new net routes to deal with competition and compromise.
 
Why is the new experimental method of deep-structure biology better than that of the functional test and the system simulation? How does it avoid the plight of route divarication and information explosion?
 
In summary, we can understand each vitastate as a certain temporal and spatial condition, and the conversion of the vitastate means the transfer of the temporal and spatial condition. If we take each temporal and spatial condition as the background for the factor measurement, then when we measure the relationship between two factors, although the experimental system has designed the external temporal and spatial condition, the organism's internal temporal and spatial condition is out of the control of any kinds of existing techniques. In this way, we can theoretically deduce such natural phenomena: when an organism is in vitastate M and the effect is assumed to be A, then when the organism is in vitastate N, the measured effect may be B. In other words, vitastate background has an important impact on the measured effect.
 
The difficulty in the current studies of neurobiology is that the usual functional experiment is feasible for a single pathway test, but is difficult for a physio-morph network. Therefore, at the beginning of the deep-structure experiment, we can first propose a speculative hypothesis of the variant characteristics of the internal phenotypic vitastate network based on the external phenotypic vitastate characteristics, secondly, by multipath and simultaneous experiments and examination. In this way, the errors in the hypothesis will be found with ease. Correct the errors in the hypothesis and test again, then the experiment will gradually become accurate. So this new experimental method can successfully avoid the plight of route divarication and information explosion.
 
This is the advantage of brain vitastates experimentation. The key point is that it introduces the concept of conversion of vitastates, so we can seek for the discrepancies in the variant physio-morphs, and it will be easy for the experiments to find the brain vitastate network.
 
One of the deep structural applied projects is the deep structural analysis of information transformation mechanism of a large-scale brain neurons.
 
 

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