Classification Of P300 Signals In Brain-Computer Interface Using Neural Networks With Adjustable Activation Functions

• Main Author: Aslarzanagh, Seyed Aliakbar Mousavi
• Format: Thesis
• Language: English
• Published: 2013
• Subjects: QA75.5-76.95 Electronic computers. Computer science
• Online Access: http://eprints.usm.my/43934/1/Seyed%20Aliakbar%20Mousavi%20Aslarzanagh24.pdf; http://eprints.usm.my/43934/

Brain-Computer Interface (BCI) employs brain’s Electroencephalograms (EEG) signals and Event-related potentials (ERP) such as P300 to provide a direct communication between human brain and computer. P300 speller application is a BCI that finds the location of target character using P300 signal...