Open AccessInformation breakdown analysis of simultaneous neural recordings: tools for the study of neural codes
Author(s) -
Cesare Magri,
KS Whittingstall,
Varsha Singh,
NK Logothetis,
Stefano Panzeri
Publication year - 2009
Publication title -
frontiers in neuroinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.144
H-Index - 62
ISSN - 1662-5196
DOI - 10.3389/conf.neuro.11.2009.08.097
Subject(s) - neuroinformatics , toolbox , computer science , neural coding , coding (social sciences) , information theory , presentation (obstetrics) , mutual information , event (particle physics) , spike (software development) , computational neuroscience , information processing , local field potential , artificial intelligence , data science , neuroscience , psychology , medicine , statistics , physics , mathematics , software engineering , quantum mechanics , radiology , programming language
Information theory is becoming an increasingly popular framework for the study of sensory coding. Despite its widespread use for the analysis of single-cell spike trains, it has found relatively limited application to the analysis of other types of neurophysiological signals: This is due to the difficulty in estimating mutual information or entropies and to the lack of fast routines for the application of these techniques to multi-dimensional responses. Here we introduce our toolbox which allows to compute mutual information and other information theoretic quantities for the estimation of the information transmitted by different mechanisms of correlational coding. We also demonstrate the utility of our toolbox by applying it to the computation of the information conveyed by the power and phase of simulated and real Local Field Potentials and Electroencephalography