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Mother of all BCI Benchmarks

Authors: Aristimunha, Bruno; Carrara, Igor; Guetschel, Pierre; Sedlar, Sara; Rodrigues, Pedro; Sosulski, Jan; Narayanan, Divyesh; +16 Authors

Mother of all BCI Benchmarks

Abstract

Enhancements Add cache option to the evaluation (#518 by Bruno Aristimunha) Option to interpolate channel in paradigms' match_all method (#480 by Gregoire Cattan) Add leave k-Subjects out evaluations (#470 by Bruno Aristimunha) Update Braindecode dependency to 0.8 (#542 by Pierre Guetschel) Improve transform function of AugmentedDataset (#541 by Quentin Barthelemy) Add new paper results website (#556 by Bruno Aristimunha) Move cVEP common functions to moabb.datasets.utils (#564 #557 by Pierre Guetschel) Normalize c-VEP description tables (#562 #566 by Pierre Guetschel and Bruno Aristimunha) Update citation in README (#573 by Igor Carrara) Update pyRiemann dependency (#577 by Gregoire Cattan) Add resting stage Hinss2021 dataset (#580 by Gregoire Cattan and Yash Chauhan) Expose the learning rate parameter in the keras deep learning methods and optimize parameters (#589 and #592 by Bruno Aristimunha) Updating the braindecode pipelines for the new braindecode version 0.8.1 (#589 by Bruno Aristimunha) Add SSVEP and ERP paradigms to DL pipelines (#590 by Pierre Guetschel) Allow to pass a single pipeline file to benchmark (#591 by Pierre Guetschel) Add new dataset moabb.datasets.Stieger2021 (#604 by Reinmar Kobler and Bruno Aristimunha) Exposing the drop_rate for all the deep learning parameters (#592 by Bruno Aristimunha) Add new dataset moabb.datasets.Rodrigues2017 dataset (#602 by Gregoire Cattan and Pedro L. C. Rodrigues) Change unittest to pytest (#618 by Bruno Aristimunha) Remove tensorflow import warning (#622 by Bruno Aristimunha) Bugs Fix TRCA implementation for different stimulation freqs and for signal filtering (:gh:522 by Sylvain Chevallier) Fix saving to BIDS runs with a description string in their name (#530 by Pierre Guetschel) Fix import of keras BatchNormalization for TF 2.13 and higher (#544 by Brian Irvine) Fix the doc summary tables of moabb.datasets.Lee2019_SSVEP (#548 #547 #546 by Pierre Guetschel) Fix the doc summary for Castillos2023 dataset (#561 by Bruno Aristimunha) Fix format string receiving incorrect number of args in bids interface (#563 by Pierre Guetschel) Fix number of sessions in doc of moabb.datasets.Sosulski2019 (#565 by Pierre Guetschel) Fix code column of moabb.datasets.CastillosCVEP100 and moabb.datasets.CastillosCVEP100 (#567 by Pierre Guetschel) MAINT updating the packages pre-release (#578 by Bruno Aristimunha) Fix mne_bids version incompatibility with mne (#586 by Bruna Lopes) Updating the parameters of the SSVEP_TRCA method (#589 by Bruno Aristimunha) Fix and updating the parameters for the benchmark function (#588 by Bruno Aristimunha) Fix moabb.datasets.preprocessing.SetRawAnnotations setting incorrect annotations when the dataset's interval does not start at 0 (#607 by Pierre Guetschel) Fix download link for GigaDB Cho2017 and Lee2019 datasets (#621 by Anton Andreev) API changes None

If you use this software, please cite it as below.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    11
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%