- Title: Time-frequency modeling of EEG-signals
- Description: Using time-frequency representations of EEG-signals, will give us insight into local processing properties by looking at the energy of the brain oscillations and we can shed light on the synchronization of distant brain areas by means of phase-coupling and coherence estimates. In this project, socalled stroop test data will be used, which in its classical form presents a color (e.g., "blue," "green," or "red") in a color not denoted by the name (e.g., the word "red" printed in blue ink instead of red ink). Such data reflect the reaction time of a task. Data in this project is focused on different number of integers presented on a screen and is recorded by the department of Psychology, Lund University. The goal is to comprise the analysis of EEG data by means of locally stationary process optimal multitapers, which are low-rank approximations of time-frequency kernels, for robust classification and estimation of non-stationary spectra. Relevant background knowledge for the project are courses in stationary stochastic processes, time series analysis and signal processing.
- Contact: Maria Sandsten
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Last update: 2013-04-11
Centre for Mathematical Sciences, Box 118, SE-22100, Lund. Telefon: +46 46-222 00 00 (vx)