350 rub
Journal Neurocomputers №4 for 2017 г.
Article in number:
Interhemispheric neurodynamics of the EEG coherence spectrum in the process of probabilistic prediction
Type of article: scientific article
UDC: [007:572. 788]. 001.57
Authors:

N.A. Ryabchikova – Dr.Sc. (Biol.), Senior Research Scientist, Department of Higher Nervous Activity,  Faculty of Biology, Lomonosov Moscow State University 

E-mail: RNA@protein.bio.msu.ru

A.V. Savelyev – Ph.D. (Philos.), Senior Research Scientist, Director of the Patent agency «©Uniquely honest patenting» (Moscow)

E-mail: gmkristo@rambler.ru

V.L. Efimova – Ph.D. (Ped.), Principal Director of Scientific Research «Prognosis» Group Neurological Clinics (Saint-Peterburg)

E-mail: prefish@yandex.ru 

Abstract:

Our purpose was to study patterns of interhemispheric neurodynamics of spatial-temporal synchronization of the human brain EEG by the method of spectral-correlation analysis in the process of prognostic activity. Taking into account the extent correlation of the prognosis success and the topography of spectrum coherence EEG, particularly in the alpha and theta frequencies area associated with the perception, attention, memory, thinking, prognosing.

Pages: 36-42
References
  1. Moskalenko Yu.E., Ryabchikova N.A., Weinstein G.B., Halvorson P., Vardy T.C. Changes of Circulatory – Metabolic Indices and Skull Biomechanics with Brain Activity During Aging // Journal of Integrative Neuroscience a Transdisciplinary Journal. Imperial College Press. 2011. V. 10. № 2.  P. 131–160.
  2. Ryabchikova N.A., Baziyan B.X., Becz L.V., Xal'vorson P. Veroyatnostnoe prognozirovanie kak metod oczenki intellektual'ny'x vozmozhnostej cheloveka // IV S''ezd fiziologov SNG. Dagomy's, Rossiya, 8–12 oktyabrya 2014. S. 46. 
  3. Fejgenberg I.M., Lavrik V.V. Veroyatnostnoe prognozirovanie // Voobrazhenie. Mir psixologii. 2001. № 1(25). S. 174–179.
  4. Kulaichev A.P. Integrirovannaya sistema dlya kontrolya proczessov i analiza signalov Conanm-1.5. Rukovodstvo pol'zovatelya. M.: Informatika i komp'yutery'. 1993. C. 59. 
  5. Kulaichev A.P. Metody' i sredstva analiza danny'x v srede Windows: Stadia 6.0. M., Informatika i komp'yutery'. 1996. C. 257. 
  6. Novikova L.A., Farber D.A. Funkczional'noe sozrevanie kory' i podkorkovy'x struktur mozga v razlichny'e vozrastny'e periody' po danny'm e'lektrofiziologicheskix issledovanij // Vozrastnaya fiziologiya. L. 1975. S. 26. 
  7. Simonov P.V. E'moczional'ny'j mozg. M. 1981. S. 215.
  8. Livanov M.N. Prostranstvennaya organizacziya proczessov golovnogo mozga. M. 1972. S. 181. 
  9. Sviderskaya N.E., Korol'kova T.A., Nikolaeva N.O. Prostranstvenno-chastotnaya struktura e'lektricheskix korkovy'x proczessov pri razlichny'x intellektual'ny'x dejstviyax cheloveka // Fiziologiya cheloveka. 1990. T. 16. № 5. S. 5–12.
  10. Fishman M.N. Integrativnaya deyatel'nost' mozga detej i patologiya: E'lektrofiziologicheskoe issledovanie. M.: Pedagogika. 1989. S.144.
  11. Danilova N.N. Psixofiziologicheskaya diagnostika funkczional'ny'x sostoyanij. M.: Izd-vo MGU. 1992. S. 78–106. 
  12. Ryabchikova N.A., Savel'ev A.V., Efimova V.L., Efimov O.I., Xal'vorson P., Sy'chev S.M. Matematicheskaya model' proczessa resheniya chelovekom prognosticheskoj zadachi v problemnoj situaczii // Biomediczinskaya radioe'lektronika. 2015. № 6. S. 21–25. 
Date of receipt: 3 мая 2017 г.