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, and gene networks or recorded data of dynamics system such as stock market parameters or biological chips activities.
The new approach is based on the realization that task-performing networks follow some underlying principles that are should be reflected and therefore be detected in their activity. Where the analysis is designed to decipher the existence of simple causal motives that are expected to be embedded in the observed complex activity of the networks are noticeable. Many studies have applied...