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 |