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Functional holography : ウィキペディア英語版 | Functional holography
Functional Holography (FH) is a term used to indicate that the goal of the analysis is to extract the maximum amount of functional information about the dynamical network as a whole unit. ==Overview== Itay Baruchi and his Ph.D. supervisor, Prof. Eshel Ben-Jacob, have introduced the Functional Holography (FH) methodology. The FH analysis was devised to study the dynamics of task performing dynamical networks (such as brain activity and neural networks,〔Baruchi, I., Towle, V.L. and Ben-Jacob, E. (2005), Functional Holography of Complex Networks Activity From Cultures to the Human Brain, (holography2.pdf Complexity, Volume 10, No 3, p. 38-51 )〕〔2. 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Functional holography」の詳細全文を読む
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