dc.contributor.author | Ozdemir, AK | |
dc.contributor.author | Karakas, S | |
dc.contributor.author | Cakmak, ED | |
dc.contributor.author | Tufekci, DI | |
dc.contributor.author | Anikan, O | |
dc.date.accessioned | 2019-12-23T06:53:17Z | |
dc.date.available | 2019-12-23T06:53:17Z | |
dc.date.issued | 2005 | |
dc.identifier.issn | 0165-0270 | |
dc.identifier.uri | https://doi.org/10.1016/j.jneumeth.2004.12.003 | |
dc.identifier.uri | http://hdl.handle.net/11655/21185 | |
dc.description.abstract | Currently, event-related potential (ERP) signals are analysed in the time domain (ERP technique) or in the frequency domain (Fourier analysis and variants). In techniques of time-domain and frequency-domain analysis (short-time Fourier transform, wavelet transform) assumptions concerning linearity, stationarity, and templates are made about the brain signals. In the time-frequency component analyser (TFCA), the assumption is that the signal has one or more components with non-overlapping supports in the time-frequency plane. In this study, the TFCA technique was applied to ERPs. TFCA determined and extracted the oscillatory components from the signal and, simultaneously, localized them in the time-frequency plane with high resolution and negligible cross-term contamination. The results obtained by means of TFCA were compared with those obtained by means of other commonly used techniques of ERP analysis, such as bilinear time-frequency distributions and wavelet analysis. It is suggested that TFCA may serve as an appropriate tool for capturing the localized ERP components in the time-frequency domain and for studying the intricate, frequency-based dynamics of the human brain. (c) 2004 Elsevier B.V. All rights reserved. | |
dc.language.iso | en | |
dc.publisher | Elsevier Science Bv | |
dc.relation.isversionof | 10.1016/j.jneumeth.2004.12.003 | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | Biochemistry & Molecular Biology | |
dc.subject | Neurosciences & Neurology | |
dc.title | Time-Frequency Component Analyser And Its Application To Brain Oscillatory Activity | |
dc.type | info:eu-repo/semantics/article | |
dc.type | info:eu-repo/semantics/publishedVersion | |
dc.relation.journal | Journal Of Neuroscience Methods | |
dc.contributor.department | Psikoloji | |
dc.identifier.volume | 145 | |
dc.identifier.issue | 2-Jan | |
dc.identifier.startpage | 107 | |
dc.identifier.endpage | 125 | |
dc.description.index | WoS | |