Suggested further readings
Contents
Suggested further readings¶
Principal component analysis (PCA):¶
Shlens (2014) A tutorial on principal component analysis. arXiv https://arxiv.org/abs/1404.1100
Other linear dimensionality reductions:¶
Hyvarinen & Oja (2000) Independent component analysis: algorithms and applications. https://www.sciencedirect.com/science/article/abs/pii/S0893608000000265
Gillis (2014) The why and how of nonnegative matrix factorization. https://arxiv.org/abs/1401.5226
Nonlinear dimensionality reduction:¶
Wattenberg et al. (2016) How to Use t-SNE Effectively Distill. http://doi.org/10.23915/distill.00002
Understanding UMAP. https://pair-code.github.io/understanding-umap/
Dimensionality reduction in systems neuroscience:¶
Cunningham & Yu (2014) Dimensionality reduction for large-scale neural recordings. Nature Neuroscience https://www.nature.com/articles/nn.3776
Brain-computer interface work shown in Outro:¶
Golub et al. (2016) Brain–computer interfaces for dissecting cognitive processes underlying sensorimotor control. Current Opinion in Neurobiology https://www.sciencedirect.com/science/article/abs/pii/S095943881500183X
Sadtler et al. (2014) Neural constraints on learning. Nature https://www.nature.com/articles/nature13665
Golub et al. (2018) Learning by neural reassociation. Nature Neuroscience https://www.nature.com/articles/s41593-018-0095-3