Title :
Information theory and neuroscience: Why is the intersection so small?
Author_Institution :
Dept. of Electr. Eng., Rice Univ., Houston, TX
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;
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
DOI :
10.1109/ITW.2008.4578631