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Found 3 papers, 0 papers with code
Classifying the Valence of Autobiographical Memories from fMRI Data
We show that fMRI analysis using machine learning tools are sufficient to distinguish valence (i. e., positive or negative) of freely retrieved autobiographical memories in a cross-participant setting.
Real-Time EEG Classification via Coresets for BCI Applications
We suggest an algorithm that maintains the representation such coreset tailored to handle the EEG signal which enables: (i) real time and continuous computation of the Common Spatial Pattern (CSP) feature extraction method on a coreset representation of the signal (instead on the signal itself) , (ii) improvement of the CSP algorithm efficiency with provable guarantees by applying CSP algorithm on the coreset, and (iii) real time addition of the data trials (EEG data windows) to the coreset.
Features and Machine Learning for Correlating and Classifying between Brain Areas and Dyslexia
We develop a method that is based on processing gathered Event Related Potentials (ERP) signals and the use of machine learning technique for multivariate analysis (i. e. classification) that we apply in order to analyze the differences between Dyslexic and Skilled readers.
