Information-geometric measures estimate neural interactions during oscillatory brain states

The characterization of functional network structures among multiple neurons is essential to understanding neural information processing. Information geometry (IG), a theory developed for investigating a space of probability distributions has recently been applied to spike-train analysis and has pro...

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Bibliographic Details
Main Authors: Yimin eNie, Jean-Marc eFellous, Masami eTatsuno
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-02-01
Series:Frontiers in Neural Circuits
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncir.2014.00011/full