
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.
| 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% |
