DocumentCode
2440429
Title
Anthropic correction of information estimates
Author
Gastpar, Michael C. ; Gill, Patrick R. ; Theunissen, Frédéric E.
Author_Institution
Univ. of California, Berkeley, CA, USA
fYear
2009
fDate
12-10 June 2009
Firstpage
152
Lastpage
155
Abstract
A novel estimator for mutual information is proposed. The estimator is useful for the (asymmetric) scenario where only a few samples for one random variable are available, but for each sample, the conditional distribution of the other random variable can be accurately characterized. Such asymmetry is common in neuroscience where it is often necessary to repeat the same stimulus many times to obtain a stable response.
Keywords
information theory; anthropic correction; conditional distribution; information estimates; neural discrimination; neuroscience; Entropy; Life estimation; Mutual information; Neurons; Neuroscience; Probability distribution; Psychology; Random variables; Terminology; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking and Information Theory, 2009. ITW 2009. IEEE Information Theory Workshop on
Conference_Location
Volos
Print_ISBN
978-1-4244-4535-6
Electronic_ISBN
978-1-4244-4536-3
Type
conf
DOI
10.1109/ITWNIT.2009.5158561
Filename
5158561
Link To Document