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Multivariate Autoregressive Modeling Combined with Simulated Annealing Optimization for Classifying Sources of Event Related Potentials

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dc.contributor.author Vasios, C en
dc.contributor.author Matsopoulos, G en
dc.contributor.author Ventouras, E en
dc.contributor.author Papageorgiou, C en
dc.contributor.author Kontaxakis, V en
dc.contributor.author Nikita, K en
dc.contributor.author Uzunoglu, N en
dc.date.accessioned 2014-03-01T01:54:17Z
dc.date.available 2014-03-01T01:54:17Z
dc.date.issued 2005 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/27295
dc.relation.uri http://ijbem.k.hosei.ac.jp/2006-/volume7/number2/pdf/020.pdf en
dc.relation.uri http://ijbem.k.hosei.ac.jp/volume7/number2/pdf/020.pdf en
dc.subject Artificial Neural Network en
dc.subject Autoregressive Model en
dc.subject Back Propagation Algorithm en
dc.subject Brain Mapping en
dc.subject Cognitive Science en
dc.subject Cross Validation en
dc.subject Event Related Potential en
dc.subject event-related potential erp en
dc.subject Feature Extraction en
dc.subject Simulated Annealing en
dc.subject Surface Measurement en
dc.subject Leave One Out Cross Validation en
dc.subject Low Resolution en
dc.subject Multi Layer Perceptron en
dc.subject Normal Control en
dc.title Multivariate Autoregressive Modeling Combined with Simulated Annealing Optimization for Classifying Sources of Event Related Potentials en
heal.type journalArticle en
heal.publicationDate 2005 en
heal.abstract Event-Related Potentials (ERPs) provide non-invasive measurements of the electrical activity on the scalp that are linked to the presentation of stimuli and events. Brain mapping techniques are able to provide evidence for the solution of debatable issues in cognitive science. In this paper, a two-step signal classification approach is proposed, extending the use of the Low Resolution Brain Electrical Tomography en


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