How to measure local active information storage in neural systems

Wibral, Michael; Lizier, Joseph T.; Priesemann, Viola

doi:10.1109/ESGCO.2014.6847554

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How to measure local active information storage in neural systems

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Priesemann, Viola
Department of Nonlinear Dynamics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Wibral, M., Lizier, J. T., & Priesemann, V. (n.d.). How to measure local active information storage in neural systems.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0029-17FB-3

Abstract

Any act of information processing can be decomposed into the component operations of transfer, storage and modification, and neural information processing is no exception. Here, we review two recent attempts to quantify active information storage carried by neural signals, and suggest an optimal experimental strategy to measure the active information storage as seen by other neurons or brain areas.