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An Approximation for Large-Scale Brain's Activity

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 The electroactivity on the surfaces of the cortex and other brain
 structures can be unformal decomposed on the two co-ordinated components.
 First of them are rapid spikewise neurons reactions (so-called spikes)
 and second component  slowly changes with the aid of other neurons spikes.
 So we can say of the "charges" and "potential fields ". There are charge
 flows from sensor cortex zones to the motor cortex zone along the layer of
 the cortex.
   Schr\"odinger operators  describe these flows on the cortex layers.
 Connection between the layers can be realized by coefficients (in other
 words via weights of neural nets) and by right parts of these operators
 similar to electrohydrodynamical flows.
 The cortex and other brain structures, for example limbic system and
 thalamus structures, can be joined on the parts of the surfaces which
 we know by medical data.
 Brain imaging and behavior functions are included as independent, but
 natural for model, algorithms. Saccadic movements information for brain
 imaging can be transformed to impulsation along the cortex layer, and motor
 reaction can be considered as the complex sum of the sensor inforamtion from
 the both sides of the cortex motor zone.
 Finite element method's and networking techniques are realized for global
 simulation of the complex  co-operative activity and visual-motor behavior.

 There are tally  with the rhythms of the cortex  ($\delta,\theta,\alpha,\beta$)
 and the first eigenvalues of the  associated operator.  Moreover, there are
 EEG desynchronization phenomena.
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