Research Seminar "Cognitive Sciences"
- Analysis in the time-frequency domain
- Reconstruction of neurophysiological sources
- Use of naturalistic stimuli in cognitive stidues
- Connectivity analysis methods
- Statistical analysis of EEG/MEG data
- Know basic physical principle of signal acquisition
- Know how to build a time-frequency projection of EEG/MEG data
- Know how to track neural sources recorded by EEG/MEG
- Know how to compute and interpret connectivity analysis
- Know how to approach the statistical evaluation of analysis outcome
- Elements of Fourier Transform and its implementation
- Time-frequency analysis: from Fourier to wavelet and multitapers
- Source reconstruction: forward model, inverse model
- Source reconstruction: equivalent current dipole and distributed approaches
- Connectivity analysis: coherence, Granger causality and their interpretability
- Intersubject correlation method in fMRI/EEG/MEG data
- Application of naturalistic stimuli in cognitive studies
- Cross-frequency coupling
- Statistical analysis of multidimensional data: non parametric testing
- HomeworksThe students who have the average test score (О test ) to be equal 7 or higher, may have it as the final grade (skipping the final exam option).
- ExamThe students who have the average test score (О test ) to be equal 7 or higher, may have it as the final grade (skipping the final exam option).
- Participation in discussions
- Interim assessment (3 module)0.7 * Exam + 0.15 * Homeworks + 0.15 * Participation in discussions
- Cohen, M. X. (2014). Analyzing Neural Time Series Data : Theory and Practice. Cambridge, Massachusetts: The MIT Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=689432
- Anders M. Dale, K Arthur K. Liu, Bruce R. Fischl, Y L. Buckner, John W. Belliveau, & Jeffrey D. Lewine. (2000). R.: Dynamic statistical parametric neurotechnique mapping: combining fMRI and MEG for high-resolution imaging of cortical activity.
- Andre M Bastos, & Jan-Mathijs eSchoffelen. (2016). A tutorial review of functional connectivity analysis methods and their interpretational pitfalls. https://doi.org/10.3389/fnsys.2015.00175
- Baillet, S., Friston, K., & Oostenveld, R. (2011). Academic Software Applications for Electromagnetic Brain Mapping Using MEG and EEG. https://doi.org/10.1155/2011/972050
- Eugenio Rodriguez, Jacques Martinerie, & Francisco J. Varela. (1999). Measuring phase-synchrony in brain signals.
- Tort, A. B. L., Komorowski, R., Eichenbaum, H., & Kopell, N. (2010). Measuring Phase-Amplitude Coupling Between Neuronal Oscillations of Different Frequencies. https://doi.org/10.1152/jn.00106.2010