Roadmap

[aath0]

Roadmap

Goal: develop an open platform with educational resources for algorithmic decision-making in neuroscience

Here is a list of milestones for this project.

Milestone: List of tutorials for EEG data

How to apply common algorithms on electroencephalography (EEG) data?

• Loading and visualization of epoch data
• Pre-processing: What are common artifacts? How to reject them? Filtering.
• Statistics: Contrasts between two conditions at single-electrodes. Permutation statistics.
• Machine learning: What features can we have? How to implement cross-validation?
• Machine learning: Common algorithms: LDA / Logistic Regression
• Machine learning: How to visualize features and classification accuracy
• Expand to a different dataset / application

Milestone: Tutorials for signal processing

e.g. filters, time-frequency transforms

• Filters...
• Time-frequency

Milestone: Bind everything together

e.g. through mybinder or Jupyter book

• Test that MyBinder works
• Implement everything in Jupyter book
• Proof read documentation

Milestone: Community building

e.g. gather contributions and expand to other techniques

• Get feedback from neuroscientists
• Seek additional contributors
• Get feedback from students