DocumentCode
2299798
Title
Information theory and neuroscience: Why is the intersection so small?
Author
Johnson, Don H.
Author_Institution
Dept. of Electr. Eng., Rice Univ., Houston, TX
fYear
2008
fDate
5-9 May 2008
Firstpage
104
Lastpage
108
Abstract
Information theory sprung from Shannonpsilas desire to determine the performance limits of communication systems. Neuroscience seeks to determine how an existing system the brain encodes and processes information. Information theory has made few inroads into neuroscience and when it has, the theory has occasionally been applied incorrectly in both obvious and subtle ways. We review both successes and failures of classic information theory in neural coding studies. We present a non-classical approach to the analysis motivated by neuroscience problems that relies heavily on the data processing theorem and properties of the Kullback-Leibler distance.
Keywords
information theory; Kullback-Leibler distance; Shannon theory; communication systems; data processing theorem; information theory; neuroscience; nonclassical approach; Communication system control; Communication systems; Context modeling; Control systems; Data processing; Decoding; Information theory; Motion measurement; Neurons; Neuroscience;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Workshop, 2008. ITW '08. IEEE
Conference_Location
Porto
Print_ISBN
978-1-4244-2269-2
Electronic_ISBN
978-1-4244-2271-5
Type
conf
DOI
10.1109/ITW.2008.4578631
Filename
4578631
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