Measuring Information Transfer

Measuring Information Transfer. Schreiber, T. Physical Review Letters, 85(2):461–464, July, 2000.

An information theoretic measure is derived that quantifies the statistical coherence between systems evolving in time. The standard time delayed mutual information fails to distinguish information that is actually exchanged from shared information due to common history and input signals. In our new approach, these influences are excluded by appropriate conditioning of transition probabilities. The resulting transfer entropy is able to distinguish effectively driving and responding elements and to detect asymmetry in the interaction of subsystems.

@article{schreiber2000,
	title = {Measuring {Information} {Transfer}},
	volume = {85},
	url = {http://link.aps.org/doi/10.1103/PhysRevLett.85.461},
	doi = {10.1103/PhysRevLett.85.461},
	abstract = {An information theoretic measure is derived that quantifies the statistical coherence between systems evolving in time. The standard time delayed mutual information fails to distinguish information that is actually exchanged from shared information due to common history and input signals. In our new approach, these influences are excluded by appropriate conditioning of transition probabilities. The resulting transfer entropy is able to distinguish effectively driving and responding elements and to detect asymmetry in the interaction of subsystems.},
	number = {2},
	urldate = {2016-05-27},
	journal = {Physical Review Letters},
	author = {Schreiber, Thomas},
	month = jul,
	year = {2000},
	keywords = {neuroblox: directed connectivity, project: netsreview},
	pages = {461--464},
	file = {APS Snapshot:/Users/lcneuro/Zotero/storage/34RAJX8Z/PhysRevLett.85.html:text/html;Full Text PDF:/Users/lcneuro/Zotero/storage/XPPGWMD2/Schreiber - 2000 - Measuring Information Transfer.pdf:application/pdf},
}

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