Cognitive Computational Neuroscience


Multivariate techniques for modeling single-trial EEG responses

Studying neural responses to environmental stimuli through electroencephalography (EEG), typically requires averaging hundrents or thousands of single-trial responses, and contrasting them at single electrode locations. During my PhD, I used multivariate techniques to model the distribution of single-trial EEG responses across the scalp, and extract topographic EEG responses in a data-driven way. This technique can be used to model data at the single-patient level, to decode decisions from EEG responses, or to test the role of temporal intervals in processing environmental stimuli.

Single trial EEG analysis

Tzovara et al., 2012, Develop. Neuropsychology, doi: 110.1080/87565641.2011.636851

Reconstructing oscillatory activity from the hippocampus & amygdala using MEG

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Modeling skin conductance & pupil responses

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Representative publications