---
title: "Suggested further readings"
source: Neuromatch Computational Neuroscience
source_url: https://github.com/NeuromatchAcademy/course-content
licence: CC-BY-4.0
domain: foundations
subdomain: neuromatch-compneuro
date_added: 2026-04-25
---

# Suggested further readings

### Principal component analysis (PCA):

Shlens, J. (2014). A tutorial on principal component analysis. arXiv preprint [arXiv:1404.1100](https://arxiv.org/abs/1404.1100).

### Other linear dimensionality reductions:

Hyvarinen, A., and Oja, E. (2000). Independent component analysis: algorithms and applications. Neural networks 13(4-5): 411-430. doi: [10.1016/S0893-6080(00)00026-5](https://doi.org/10.1016/S0893-6080(00)00026-5) {{ closed_access }} (preprint: [www.cse.msu.edu/~cse902/S03/icasurvey.pdf](http://www.cse.msu.edu/~cse902/S03/icasurvey.pdf) {{ open_access }}).

Gillis, N. (2014) The why and how of nonnegative matrix factorization. arXiv preprint [arxiv:1401.5226](https://arxiv.org/abs/1401.5226).

### Nonlinear dimensionality reduction:

Coenen, A., and Pearce, A. Understanding UMAP. url: [pair-code.github.io/understanding-umap/](https://pair-code.github.io/understanding-umap/).

Wattenberg, M., Viegas, F., and Johnson, I.  (2016). How to Use t-SNE Effectively. Distill. doi: [10.23915/distill.00002](https://doi.org/10.23915/distill.00002) {{ open_access }}.

### Dimensionality reduction in systems neuroscience:

Cunningham, J. P., and Byron, M. Y. (2014). Dimensionality reduction for large-scale neural recordings. Nature neuroscience 17(11): 1500-1509. doi: [10.1038/nn.3776](https://doi.org/10.1038/nn.3776) {{ closed_access }} (postprint: [europepmc.org/articles/pmc4433019?pdf=render](https://europepmc.org/articles/pmc4433019?pdf=render) {{ open_access }}).

### Brain-computer interface work shown in Outro:

Golub, M. D., Chase, S. M., Batista, A. P., and Byron, M. Y. (2016). Brain–computer interfaces for dissecting cognitive processes underlying sensorimotor control. Current opinion in neurobiology 37: 53-58. doi: [10.1016/j.conb.2015.12.005](https://doi.org/10.1016/j.conb.2015.12.005) {{ open_access }}.

Golub, M. D., Sadtler, P. T., Oby, E. R., Quick, K. M., Ryu, S. I., Tyler-Kabara, E. C., ... and Yu, B. M. (2018). Learning by neural reassociation. Nature neuroscience 21(4): 607-616. doi: [10.1038/s41593-018-0095-3](https://doi.org/10.1038/s41593-018-0095-3) {{ closed_access }} (postprint: [europepmc.org/articles/pmc5876156?pdf=render](https://europepmc.org/articles/pmc5876156?pdf=render) {{ open_access }}).

Sadtler, P. T., Quick, K. M., Golub, M. D., Chase, S. M., Ryu, S. I., Tyler-Kabara, E. C., ... and Batista, A. P. (2014). Neural constraints on learning. Nature 512(7515): 423-426. doi: [10.1038/nature13665](https://doi.org/10.1038/nature13665) {{ closed_access }} (postprint: [europepmc.org/articles/pmc4393644?pdf=render](https://europepmc.org/articles/pmc4393644?pdf=render) {{ open_access }}).
