Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/13493
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dc.contributor.authorGuha, Apratim
dc.date.accessioned2015-05-11T11:06:44Z
dc.date.available2015-05-11T11:06:44Z
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/11718/13493
dc.description.abstractConstructing models for neuroscience data is a challenging task, more so when the data sets are of hybrid nature, and there exists very little work. As a first step, here we introduce a technique based on mutual information to look at bivariate hybrid time series data from the field of neuroscience.
dc.language.isoenen_US
dc.publisherJournal of the Indian Society of Agricultural Statisticsen_US
dc.subjectInteractionen_US
dc.subjectPotentialsen_US
dc.titleSome analysis of the interaction among local field potentials and neuronal discharges in a mouse using mutual informationen_US
dc.typeArticleen_US
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