Collection of useful resources to understand neural manifolds
- Neural Manifold (Presentation by Dr. Sara Sola, Northwestern University) [PDF] : Powerpoint slide with some scribbled notes by me to better understand the core problem in neural manifolds and linear methods of manifold approximation.
- Canonical Correlation Analysis - Practical example [PDF] : A practical example in R for understanding CCA in terms of tabular datasets.
- Neural Manifold for the Control of Movement by Gallego et. al. [PDF] : Great paper for understanding the relevance of neural manifolds in Neuroscience and Brain-Computer Interface.
Useful Videos :
- Canonical Correlation Analysis by Joshua Cohen[Video 1] [Video 2]: Helpful videos in understanding Canonical Correlation Analysis(CCA).
Datasets:
- Multi-electrode recording from Macquace V1 region in Primary Visual Cortex [Link]: Contains recording from anasthesized monkey while natural images are shown to it. Great to learn decoding and receptive field information.