Effect of Variable Propagation Window Parameter on Multidimensional Directed Information

Osamu Sakata; Kensuke Okada; Tsuyoshi Shiina; Yoichi Saito

doi:10.1541/ieejeiss.125.1387

Effect of Variable Propagation Window Parameter on Multidimensional Directed Information

Osamu Sakata, Kensuke Okada, Tsuyoshi Shiina, Yoichi Saito

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

There are many fluctuations in life phenomena, and they are always occurring in a human brain. Although we developed a method called multidimensional directed information (MDI) analysis to visualize information flow in a human brain, it was based on the presumption that the information propagation time is constant. This paper reports how the method has been improved so that it may have applicability even when information propagation time fluctuates. First, we conducted a numerical simulation to investigate characteristics of the new method, and we confirmed that the new MDI analysis is beneficial in calculating the amount of information flow. Next, we adapted the new method to an electroencephalogram (EEG) analysis. As a result, we were able to estimate the amount of information flow between EEGs of a normal subject.

Original language	English
Pages (from-to)	1387-1392
Number of pages	6
Journal	IEEJ Transactions on Electronics, Information and Systems
Volume	125
Issue number	9
DOIs	https://doi.org/10.1541/ieejeiss.125.1387
Publication status	Published - 2005
Externally published	Yes

Keywords

electroencephalogram
information flow
multidimensional directed information
propagation time fluctuation

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1541/ieejeiss.125.1387

Cite this

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title = "Effect of Variable Propagation Window Parameter on Multidimensional Directed Information",

abstract = "There are many fluctuations in life phenomena, and they are always occurring in a human brain. Although we developed a method called multidimensional directed information (MDI) analysis to visualize information flow in a human brain, it was based on the presumption that the information propagation time is constant. This paper reports how the method has been improved so that it may have applicability even when information propagation time fluctuates. First, we conducted a numerical simulation to investigate characteristics of the new method, and we confirmed that the new MDI analysis is beneficial in calculating the amount of information flow. Next, we adapted the new method to an electroencephalogram (EEG) analysis. As a result, we were able to estimate the amount of information flow between EEGs of a normal subject.",

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AU - Sakata, Osamu

AU - Okada, Kensuke

AU - Shiina, Tsuyoshi

AU - Saito, Yoichi

PY - 2005

Y1 - 2005

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AB - There are many fluctuations in life phenomena, and they are always occurring in a human brain. Although we developed a method called multidimensional directed information (MDI) analysis to visualize information flow in a human brain, it was based on the presumption that the information propagation time is constant. This paper reports how the method has been improved so that it may have applicability even when information propagation time fluctuates. First, we conducted a numerical simulation to investigate characteristics of the new method, and we confirmed that the new MDI analysis is beneficial in calculating the amount of information flow. Next, we adapted the new method to an electroencephalogram (EEG) analysis. As a result, we were able to estimate the amount of information flow between EEGs of a normal subject.

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KW - propagation time fluctuation

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Effect of Variable Propagation Window Parameter on Multidimensional Directed Information

Abstract

Keywords

ASJC Scopus subject areas

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