Lomonosov Psychology Journal
ISSN 0137-0936
eISSN 2309-9852
En Ru
ISSN 0137-0936
eISSN 2309-9852

Article

Zinchenko Yu.P., Eskov V.М., Grigoryeva S.V., Maistrenko V.I. (2018). New possibility of the heuristic activity of neuroemulators. Moscow University Psychology Bulletin, 3, 109-127

Abstract

Relevance. Today there are no real models of the human brain's heuristic activity. In this regard, now it is absent real models of heuristic activity of the human brain, according to the accumulated experimental material, the possibilities of modeling two basic principles of the operation of real neural networks of the human brain was presented.

Goal. The proving of real neuroemulator possibility for system synthesis as a model of heuristic behavior of human brain.

Methods. We propose the numerical repetition of electroencephalogram registration (EEG) and construct the special matrix of their (EEG) comparison. For neuroemulator we propose the numerical repetition and choice value of weight of coefficient wi0for any diagnostic parameters xi(like for real EEG).

Conclusions. It is shown that such two procedures (reverberation and chaos) are identical to the heuristic activity of the brain. The brain selects the main xi* from the set of xi variables and at the same time we move from the phase space m to the new phase space with little dimension n (n<<m). The choice of the main xi*is a problem of system synthesis (finding of the order parameters). It is realized at the expense of reverberation and chaos to neural networks. We must mark: the artificial neuron nets emphasize demonstrate such behavior at every time.

Sections: Interdisciplinary studies;

Received: 06/22/2018
Accepted: 06/28/2018
Pages: 109-127
DOI: 10.11621/vsp.2018.03.109

Keywords: reverberation; chaos of parameters; quasiattractors; systemic synthesis;

Available Online 07.09.2018

Table 1.

Группы

сравнения

Уровни значимости р для признаков xi

девочки

Р1 — SIM

Р2 —PAR

Р— SSS

Р4 —SDNN

Р— INB

Р— SpO2

H1 и H2

0.47

0.24

0.28

0.07

0.16

0.84

H1 и H3

0.10

0.02

0.01

0.03

0.06

0.47

Table 2.

 

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

1

 

0.00

0.03

0.29

0.65

0.00

0.01

0.00

0.00

0.00

0.71

0.19

0.64

0.00

0.00

2

0.00

 

0.00

0.00

0.00

0.00

0.00

0.00

0.12

0.00

0.00

0.00

0.00

0.00

0.00

3

0.03

0.00

 

0.15

0.19

0.11

0.00

0.00

0.00

0.02

0.40

0.00

0.88

0.00

0.00

4

0.29

0.00

0.15

 

0.00

0.65

0.00

0.00

0.00

0.10

0.31

0.07

0.38

0.00

0.00

5

0.65

0.00

0.19

0.00

 

0.00

0.00

0.00

0.00

0.00

0.79

0.00

0.48

0.00

0.00

6

0.00

0.00

0.11

0.65

0.00

 

0.00

0.02

0.00

0.22

0.34

0.00

0.68

0.00

0.00

7

0.01

0.00

0.00

0.00

0.00

0.00

 

0.00

0.00

0.00

0.00

0.22

0.00

0.00

0.00

8

0.00

0.00

0.00

0.00

0.00

0.02

0.00

 

0.82

0.01

0.00

0.00

0.00

0.00

0.00

9

0.00

0.12

0.00

0.00

0.00

0.00

0.00

0.82

 

0.00

0.00

0.00

0.00

0.00

0.00

10

0.00

0.00

0.02

0.10

0.00

0.22

0.00

0.01

0.00

 

0.00

0.00

0.07

0.00

0.00

11

0.71

0.00

0.79

0.31

0.40

0.34

0.00

0.00

0.00

0.00

 

0.00

0.78

0.00

0.00

12

0.19

0.00

0.00

0.07

0.00

0.00

0.22

0.00

0.00

0.00

0.00

 

0.00

0.00

0.00

13

0.64

0.00

0.88

0.38

0.48

0.68

0.00

0.00

0.00

0.07

0.78

0.00

 

0.00

0.00

14

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

 

0.00

15

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

 

Table 3.

Расчеты итераций по выборкам (N≥50)

Веса wi признаков xi после N=50 итераций НЭВМ

n =50 j=(1, …, 50)

x1 — SIM

x2 — PAR

x3 — SSS

x4 — SDNN

x5 — INB

x6 — SpO2

1 и 2

0.53

0.38

0.26

0.37

0.84

0.67

1 и 3

0.59

0.41

0.21

0.65

0.95

0.48

For citing this article:

Zinchenko Yu.P., Eskov V.М., Grigoryeva S.V., Maistrenko V.I. (2018). New possibility of the heuristic activity of neuroemulators. Moscow University Psychology Bulletin, 3, 109-127