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https://github.com/okbalefthanded/bci-selected-papers

Curated list of seminal and breakthrough papers in the field of Brain-Computer Interfaces
https://github.com/okbalefthanded/bci-selected-papers

bci brain-computer-interface eeg machine-learning

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Curated list of seminal and breakthrough papers in the field of Brain-Computer Interfaces

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# BCI-selected-papers
Curated list of seminal and breakthrough papers in the field of Brain-Computer Interfaces

# Event-Related Potentials (ERP)
[An online brain – computer interface using non-flashing visual evoked potentials {JNE 2010}](https://iopscience.iop.org/article/10.1088/1741-2560/7/3/036003)

[Single-trial analysis and classification of ERP components — A tutorial {NeuroImage 2011}](https://www.sciencedirect.com/science/article/abs/pii/S1053811910009067)

[Flashing characters with famous faces improves ERP-based brain–computer interface performance {JNE 2011}](https://iopscience.iop.org/article/10.1088/1741-2560/8/5/056016)

[Airborne Ultrasonic Tactile Display Brain-computer Interface Paradigm {preprtint 2014}](https://arxiv.org/pdf/1501.01144.pdf)

[Pushing the P300-based brain–computer interface beyond 100 bpm: extending performance guided constraints into the temporal domain {JNE 2016}](https://iopscience.iop.org/article/10.1088/1741-2560/13/2/026024)

[Doubling the Speed of N200 Speller via Dual-Directional Motion Encoding {TBE 2020}](https://ieeexplore.ieee.org/document/9127797)

# Steady-State evoked potentials (SSEP)
[High-speed spelling with a noninvasive brain–computer interface {PNAS 2015}](https://www.pnas.org/doi/10.1073/pnas.1508080112)

[A High-Speed SSVEP-Based BCI Using Dry EEG Electrodes {SR, 2018}](https://www.nature.com/articles/s41598-018-32283-8)

[Fully portable and wireless universal brain–machine interfaces enabled by flexible scalp electronics and deep learning algorithm {NME 2019}](https://www.nature.com/articles/s42256-019-0091-7)

[An SSVEP-based BCI with 112 targets using frequency spatial multiplexing {JNE 2024}](https://iopscience.iop.org/article/10.1088/1741-2552/ad4091)

# Motor Imagery (MI)
[Optimizing Spatial filters for Robust EEG Single-Trial Analysis {SPM 2008}](https://ieeexplore.ieee.org/document/4408441)

[Motor Imagery Under Distraction— An Open Access BCI Dataset {FNS 2020}](https://www.frontiersin.org/articles/10.3389/fnins.2020.566147/full)

# code-modulated visual evoked potentials (C-Vep)
[World’s fastest brain-computer interface: Combining EEG2Code with deep learning {PLOS One 2019}](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0221909)

# invasive BCI
[Two-dimensional movement control using electrocorticographic signals in humans {JNE 2008}](https://iopscience.iop.org/article/10.1088/1741-2560/5/1/008)

[High-performance brain-to-text communication via handwriting {Nature 2021}](https://www.nature.com/articles/s41586-021-03506-2)

[A high-performance speech neuroprosthesis {Nature 2023}](https://www.nature.com/articles/s41586-023-06377-x)

[A high-performance neuroprosthesis for speech decoding and avatar control {Nature 2023}](https://www.nature.com/articles/s41586-023-06443-4)

[An Accurate and Rapidly Calibrating Speech Neuroprosthesis {NEJM 2024}](https://www.nejm.org/doi/full/10.1056/NEJMoa2314132)

# Hybrid BCI
[Implementing over 100 command codes for a high-speed hybrid brain-computer interface using concurrent P300 and SSVEP features {TBE 2020}](https://ieeexplore.ieee.org/abstract/document/9023382)

[A high-speed hybrid brain-computer interface with more than 200 targets {JNE 2023}](https://iopscience.iop.org/article/10.1088/1741-2552/acb105)

# Feautre Extraction and Classification
[Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis {TBE 2017}](https://ieeexplore.ieee.org/document/7904641)

[EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces {JNE 2018}](https://iopscience.iop.org/article/10.1088/1741-2552/aace8c)

# Speech Decoding
[Decoding speech perception from non-invasive brain recordings {NME 2023}](https://www.nature.com/articles/s42256-023-00714-5)

# Contribution
Pull requests are welcomed, if a paper report unprecedented results or it is a good tutorial send a pull request and we will discuss it.

# Journal acronyms
JNE: [Journal of Neural Engineering](https://iopscience.iop.org/journal/1741-2552)

SR: [Scientific Reports](https://www.nature.com/srep/)

PNAS: [Proceedings of the National Academy of Sciences](https://www.pnas.org)

TBE: [IEEE Transactions on Biomedical Engineering](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=10)

SPM : [IEEE Signal Processing Magazine](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=79)

NME: [Nature Machine Intelligence](https://www.nature.com/natmachintell/)

FNS: [Frontiers in Neuroscience](https://www.frontiersin.org/journals/neuroscience)

NEJM : [The New England Journal of Medicine](https://www.nejm.org)