Functional holography (original) (raw)

Functional Holography (FH) is a method of analysis designed to extract the maximum amount of functional information about the dynamical network as a whole unit. Itay Baruchi and his Ph.D. supervisor, Eshel Ben-Jacob, 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, and gene networks or recorded data of dynamics system such as stock market parameters or biological chips activities).