A toolbox for the fast information analysis of multiple-site LFP, EEG and spike train recordings
Open Access
- 16 July 2009
- journal article
- research article
- Published by Springer Nature in BMC Neuroscience
- Vol. 10 (1) , 81
- https://doi.org/10.1186/1471-2202-10-81
Abstract
Information theory is an increasingly popular framework for studying how the brain encodes sensory information. Despite its widespread use for the analysis of spike trains of single neurons and of small neural populations, its application to the analysis of other types of neurophysiological signals (EEGs, LFPs, BOLD) has remained relatively limited so far. This is due to the limited-sampling bias which affects calculation of information, to the complexity of the techniques to eliminate the bias, and to the lack of publicly available fast routines for the information analysis of multi-dimensional responses.This publication has 79 references indexed in Scilit:
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