Invariant Characterization of Neural Systems

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Invariant Characterization of Neural Systems

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dc.contributor.author Pratap, R
dc.contributor.author Nampoori, V P N
dc.contributor.author Lalaja, Varghese
dc.date.accessioned 2011-12-12T09:32:33Z
dc.date.available 2011-12-12T09:32:33Z
dc.date.issued 1988
dc.identifier.uri http://dyuthi.cusat.ac.in/purl/2636
dc.description.abstract It is shown that the invariant integral, viz., the Kolmogorov second entropy, is eminently suited to characterize EEG quantitatively. The estimation obtained for a "clinically normal" brain is compared with a previous result obtained from the EEG of a person under epileptic seizure. en_US
dc.description.sponsorship Cochin University of Science and Technology en_US
dc.language.iso en en_US
dc.publisher International Journal of Neuroscience en_US
dc.subject EEG en_US
dc.subject epilepsy en_US
dc.title Invariant Characterization of Neural Systems en_US
dc.type Working Paper en_US
dc.contributor.faculty Technology en_US


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