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1) Nicolelis BCI review paper (2017)
2) RAM Dataset
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royyannick committed May 2, 2017
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* [BNCI Horizon Data Sets](http://bnci-horizon-2020.eu/database/data-sets)
* [g.tec biosignal Data Sets](http://www.gtec.at/Research/Biosignal-Data-Sets/content/Biosignal-Data-Sets)
* [The Child Mind Institute MIPDB Dataset](http://fcon_1000.projects.nitrc.org/indi/cmi_eeg/)
* [RAM (DARPA) Invasive Recording Dataset from U. Penn](http://memory.psych.upenn.edu/RAM)

## Tutorials and Project Ideas

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- [Interpretable Deep Neural Networks for Single-Trial EEG Classification](https://www.researchgate.net/publication/301817936_Interpretable_Deep_Neural_Networks_for_Single-Trial_EEG_Classification)
- [Large-Scale Assessment of a Fully Automatic Co-Adaptive Motor Imagery-Based Brain Computer Interface](http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0148886)
- [Word pair classification during imagined speech using direct brain recording](http://knightlab.berkeley.edu/statics/publications/2016/10/03/srep25803.pdf)
- [Brain-Computer Interfaces Review, Nicolelis & Lebedev. 2017](https://www.ncbi.nlm.nih.gov/pubmed/28275048)


### Introductory Books
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