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Add link to EEG-Bench

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@@ -16,7 +16,7 @@ The task involved 260 trials: 70% standard tones (440 Hz), 15% target tones (660
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  ## Paper
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  Cavanagh, J. F., Wilson, J. K., Rieger, R. E., Gill, D., Broadway, J. M., Remer, J. H. S., Fratzke, V., Mayer, A. R., & Quinn, D. K. (2019). **ERPs predict symptomatic distress and recovery in sub-acute mild traumatic brain injury**. _Neuropsychologia_, 132, 107125.
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- DISCLAIMER: We (DISCO) are NOT the owners or creators of this dataset, but we merely uploaded it here, to support our's ("EEG-Bench") and other's work on EEG benchmarking.
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  ## Dataset Structure
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  - `data/` contains the annotated experiment EEG data.
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  - `scripts/` contains MATLAB scripts that produced the paper's results.
 
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  ## Paper
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  Cavanagh, J. F., Wilson, J. K., Rieger, R. E., Gill, D., Broadway, J. M., Remer, J. H. S., Fratzke, V., Mayer, A. R., & Quinn, D. K. (2019). **ERPs predict symptomatic distress and recovery in sub-acute mild traumatic brain injury**. _Neuropsychologia_, 132, 107125.
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+ DISCLAIMER: We (DISCO) are NOT the owners or creators of this dataset, but we merely uploaded it here, to support our's ([EEG-Bench](https://github.com/ETH-DISCO/EEG-Bench)) and other's work on EEG benchmarking.
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  ## Dataset Structure
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  - `data/` contains the annotated experiment EEG data.
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  - `scripts/` contains MATLAB scripts that produced the paper's results.