English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The scaling of correlations as a function of system size provides importanthints to understand critical phenomena on a variety of systems. Its study inbiological systems offers two challenges: usually they are not of infinitesize, and in the majority of cases sizes can not be varied at will. Here wediscuss how finite-size scaling can be approximated in an experimental systemof fixed and relatively small size by computing correlations inside of areduced field of view of various sizes (i.e., "box-scaling"). Numericalsimulations of a neuronal network are used to verify such approximation, aswell as the ferromagnetic 2D Ising model. The numerical results support thevalidity of the heuristic approach, which should be useful to characterizerelevant aspects of critical phenomena in biological systems.

Box-scaling as a proxy of finite-size correlations