Distribution of Eyeblink Amplitude Recorded by an Electrode Hookup: Re-Examination

1980 ◽  
Vol 51 (3_suppl2) ◽  
pp. 1283-1287 ◽  
Author(s):  
Fumio Yamada ◽  
Katsuyuki Yamasaki ◽  
Makoto Nakayama ◽  
Yo Miyata
Keyword(s):  
White Noise ◽  
Normal Distribution ◽  
Present Experiment ◽  
Logarithmic Transformation ◽  
Startle Eyeblink ◽  
Distributional Properties ◽  
Distribution Property ◽  
Log Normal ◽  
Log Normal Distribution

The present experiment was run to re-examine the distributional properties of the eyeblink amplitude elicited by a burst of 110-dB white noise, recorded by an electrode hookup as recommended in our previous report (Yamada, Yamasaki, & Miyata, 1979). 103 volunteers, 54 males and 49 females, were tested. Analysis showed that the amplitudes were distributed normally when a logarithmic transformation was performed but not when the raw scores were used. We conclude that the amplitude of the startle eyeblink reflex has a log-normal distribution property.

scholarly journals A Universal Model for the Log-Normal Distribution of Elasticity in Polymeric Gels and Its Relevance to Mechanical Signature of Biological Tissues

Biology ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 64
Author(s):  
Arnaud Millet
Keyword(s):  
Elastic Modulus ◽  
Normal Distribution ◽  
Biological Tissues ◽  
Force Microscopy ◽  
Polymeric Gels ◽  
Atomic Force ◽  
Clear Explanation ◽  
Log Normal ◽  
Log Normal Distribution

The mechanosensitivity of cells has recently been identified as a process that could greatly influence a cell’s fate. To understand the interaction between cells and their surrounding extracellular matrix, the characterization of the mechanical properties of natural polymeric gels is needed. Atomic force microscopy (AFM) is one of the leading tools used to characterize mechanically biological tissues. It appears that the elasticity (elastic modulus) values obtained by AFM presents a log-normal distribution. Despite its ubiquity, the log-normal distribution concerning the elastic modulus of biological tissues does not have a clear explanation. In this paper, we propose a physical mechanism based on the weak universality of critical exponents in the percolation process leading to gelation. Following this, we discuss the relevance of this model for mechanical signatures of biological tissues.

The Log Normal Distribution 1

2020 ◽  
pp. 150-188
Author(s):  
Richard Holland ◽  
Richard St. John
Keyword(s):  
Normal Distribution ◽  
Log Normal ◽  
Log Normal Distribution
Sign in / Sign up

Export Citation Format

Share Document