Syllabus
Brain activation patterns – Spikes – Oscillatory potential – Event-Related Potentials (ERP) -Mu rhythms – Stimulus related potentials – Visual evoked potentials and auditory evoked potentials – Potentials related to cognitive tasks – Brain computer interface types – Invasive -Non-invasive – Brain signal for BCI signal – EEG – MEG – fNIRS – fMRI. BCI signal processing – Spatial – Temporal – Spatio-temporal filters – Spike sorting – Time and frequency domain analysis – Wavelet analysis – Principal Component Analysis (PCA) -Independent Component Analysis (ICA) – Artifacts reduction – Feature Extraction – Phase synchronization and coherence – ERP Analysis in BCI. Interfacing Brain and Machine – BCI system monitoring hardware – Machine Learning for feature classification – BCI application – Neuro prosthetic devices – Cursor and robotic control using multi electrode array implant – Visual cognitive BCI – Emotion detection.