Use of the principles of computer statistical analysis for investigating the background impulse activity of neurons

1971 ◽  
Vol 2 (6) ◽  
pp. 444-453
Author(s):  
M. A. Kulikov
Keyword(s):  
Statistical Analysis ◽  
Impulse Activity ◽  
Background Impulse Activity

Dynamics of the background impulse activity of neurons of the lateral vestibular nucleus in the norm and under vibrational influence

2005 ◽  
Vol 37 (5-6) ◽  
pp. 372-378 ◽  
Author(s):  
S. M. Minasyan ◽  
S. G. Sarkisyan ◽  
D. N. Khudaverdyan ◽  
A. M. Martirosyan ◽  
M. L. Egizaryan ◽  
...  
Keyword(s):  
Impulse Activity ◽  
Vestibular Nucleus ◽  
Lateral Vestibular Nucleus ◽  
Background Impulse Activity

Computer Analysis Dynamics of Background Impulse Activity of Neurons in Situ and in Vitro

1973 ◽  
Vol 6 (4) ◽  
pp. 564-571
Author(s):  
M.B. Shtark ◽  
A.S. Ratushnjak ◽  
V.J. Stratievski ◽  
N.A. Karasev ◽  
L.V. Voskresenskaja
Keyword(s):  
Computer Analysis ◽  
Impulse Activity ◽  
Background Impulse Activity

Background impulse activity of neurons of the fastigial nucleus in the rat cerebellum

1992 ◽  
Vol 23 (4) ◽  
pp. 323-330
Author(s):  
A. S. Amatuni ◽  
R.Sh Sarkisyan ◽  
E. A. Korkotyan ◽  
A. K. Melikyan
Keyword(s):  
Impulse Activity ◽  
Fastigial Nucleus ◽  
Background Impulse Activity ◽  
Rat Cerebellum

Prolonged excitation of individual neocortical neurons, structure of background impulse activity

1987 ◽  
Vol 17 (5) ◽  
pp. 438-445
Author(s):  
S. V. Karnup ◽  
A. A. Aleksandrov ◽  
Yu. V. Karastoyanova ◽  
B. V. Bakharev
Keyword(s):  
Impulse Activity ◽  
Background Impulse Activity ◽  
Neocortical Neurons

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

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