Bias-free estimation of information content in temporally sparse neuronal activity

Applying information theoretic measures to neuronal activity data enables the quantification of neuronal encoding quality. However, when the sample size is limited, a naïve estimation of the information content typically contains a systematic overestimation (upward bias), which may lead to misinterp...

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Bibliographic Details
Published in:	PLoS computational biology Vol. 18; no. 2; p. e1009832
Main Authors:	Sheintuch, Liron, Rubin, Alon, Ziv, Yaniv
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 01.02.2022 Public Library of Science (PLoS)
Subjects:	Analysis Bias Bias (Statistics) Biology and Life Sciences Calcium imaging Calcium ions Calcium signalling Coding Cortex (temporal) Estimation theory Hippocampus Hippocampus - physiology Humans Information processing Information theory Medicine and Health Sciences Methods Neural coding Neuroimaging Neurons Neurons - physiology Research and Analysis Methods Social Sciences Spatial data Spatial discrimination Spatial resolution Statistical methods Temporal lobe Visual cortex Israel
ISSN:	1553-7358, 1553-734X, 1553-7358
Online Access:	Get full text
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