Quantitative analysis of Epileptic EEG signals- An Information Theoretic Approach

Sachin Goel¹ , Harshvardhan Mishra²

Section:Technical Paper, Product Type: Isroset-Journal
Vol.2 , Issue.1 , pp.14-16, Jan-2014

Online published on Feb 28, 2014

Copyright © Sachin Goel , Harshvardhan Mishra . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Computational neuroscience is a new area of research which deals with neuron responses carrying stimulus for a particular process. Different approaches and researches had applied frameworks, measures & techniques to know & analyze the fundamental understanding of the process. Defining information in a quantitative manner is the major constraint for researchers. Information measure is the only way which can give some inside into the complex world of neuroscience as these stimulus or spikes generated are random in nature & many times lead to chaotic behavior. Any such study/model/framework will be of high interest which can be able to bring some facet about the process.

Key-Words / Index Term :
Computational Neurosciences, Information Theory, Electroencephalogram, Epilepsy

References :
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