Workshop 1 introduced the fundamentals of neurotechnology and neuroscience, covering Neuralink, brain and neuron structures, and brain-computer interface paradigms. It also included a primer on Python basics useful for upcoming Crux projects.
Workshop 2 covered the basics of EEG, including electrode placement, an introduction to EEG data with its advantages, limitations, and formats, an overview of frequency bands, and hands-on use of the MNE Python toolbox.
Workshop 3 introduced preprocessing techniques, including Fourier transforms, frequency analysis, common preprocessing steps, and the use of filters such as low-pass, high-pass, band-pass, and notch.
Extra Resources
Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques: https://pmc.ncbi.nlm.nih.gov/articles/PMC10385593/
More about Fourier Transform: https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/
Workshop 4 introduced key EEG analysis techniques, covering epochs and epoch averaging, common artifacts, and methods for artifact rejection using Independent Component Analysis (ICA) and thresholding.
Workshop 5 provided a hands-on walk-through of the P300 Speller project, covering feature extraction in BCI, visualization of raw EEG channels, applying filters, epoching and averaging the data, and extracting features for analysis.
Extra Resources
EEG signal extraction trends: https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2022.1072801/full
Workshop 6 introduced classification methods in BCI, covering common classifiers such as KNN, SVM, and neural networks, along with an overview of kernel-based classification approaches.
Extra Resources
About Classifiers: https://www.geeksforgeeks.org/machine-learning/getting-started-with-classification/
Classification using KNN, SVM, MLP, NB: https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2017.00103/full
Workshop 7 focused on model evaluation and result visualization, discussing why these steps are essential, the concept of accuracy, the use of confusion matrices, and methods for visualizing model performance.
Visualization of Brainwaves: https://apertureneuro.org/article/116386-the-art-of-brainwaves-a-survey-on-event-related-potential-visualization-practices
Week 9 (11/24-11/30) Final Showcase + Team Pathways + BCI Team Signups