From arokem at uw.edu Mon Apr 12 12:44:03 2021 From: arokem at uw.edu (Ariel Rokem) Date: Mon, 12 Apr 2021 09:44:03 -0700 Subject: [Neuroimaging] NeuroHackademy 2021: Call for applications Message-ID: We are happy to announce a call for applications to participate in Neurohackademy 2021! This two-week hands-on workshop will be held *online*, July 19th - 30th, 2021. NeuroHackademy focuses on tools and techniques used to analyze human neuroscience data, on methods used to extract information from large datasets of publicly available data (such as the Human Connectome Project, OpenfMRI, etc.), and on tools for making human neuroscience research open and reproducible. Neurohackademy sessions in the first week will include lectures and tutorials on data science, machine learning, data visualization, and data resources, as well as extended Q&A sessions. The second week will be devoted primarily to participant-directed activities: guided work on team projects, hackathon sessions, and breakout sessions on topics of interest. For more details and a preliminary list of instructors, see: https://neurohackademy.org/ We are now accepting applications to participate at https://neurohackademy.org/apply/ Ideally, applicants should have some prior experience with programming and with neuroscience data analysis, but we welcome applications from participants with a variety of relevant backgrounds. Accepted applicants will be asked to pay a fee of $20 upon final registration. A limited number of fee waivers will be available. Important dates: May 3rd: Application deadline May 24th: Notification of acceptance June 7th: Final registration deadline -------------- next part -------------- An HTML attachment was scrubbed... URL: From alexandre.gramfort at inria.fr Wed Apr 28 05:39:48 2021 From: alexandre.gramfort at inria.fr (Alexandre Gramfort) Date: Wed, 28 Apr 2021 11:39:48 +0200 Subject: [Neuroimaging] [ANN] MNE-Python 0.23 Message-ID: Hello everyone, We are very pleased to announce the new 0.23 release of MNE-Python! ??? This release includes 72 pull requests merged as part of our New Developers Code Sprint in March, and more than a dozen additional contributions from those new developers after the code sprint. Big thanks to all who participated! ?????? A few highlights General infos - The MNE team has started offering regular fortnightly ?office ours? on Discord to answer user questions. The next office hour will take place this Friday at 16:00 UTC. Come say ?Hi!? at https://discord.gg/2hF3V4yT9Q - The community has now moved to a new forum to answer users? questions and make announcements (e.g., when office hours will be) at https://mne.discourse.group/. - The documentation at https://mne.tools now features a new theme. We are continuously working to improve layout, usability, and accessibility of our documentation. If you discover anything you don?t like, that just doesn?t work for you, or that might present a barrier to some users, please do reach out to us! We?re looking forward to receiving your feedback. Usability - Gone is the 15-character limitation for channel names when writing FIFF files. - Raw, Epochs, and Info objects now have a beautiful tabular representation in Jupyter Notebooks. - Ever wanted to add Annotations to individual channels? This is now possible with the new ch_names parameter. - Annotations can now be exported to a pandas DataFramevia Annotations.to_data_frame(). - Interested in summary descriptive statistics for all your channels? Have a look at the new Raw.describe(). - Epochs and Evoked now allow you to easily apply transformations to their data using the brand-new apply_function() method. - Epochs metadata can now be generated automatically from events using mne.epochs.make_metadata(). - Raw.get_data() now has a units parameter to return data in the desired unit. Visualization - Dark mode! ? Source estimate plots can now detect the operating system theme preferences and will apply a dark theme automatically if the OS is currently in dark mode. Dark mode can also be activated manually via the theme parameter of mne.viz.Brain. - Much improved interactive 3D plots in Jupyter Notebooks. (We?re still trying to get Jupyter Lab to work nicely as well ? it currently behaves rather erratically, though!) - The new silhouette parameter of mne.viz.Brain can be used to display sharp edges and to improve perception. Source imaging - New method mne.Dipole.to_mni() for more convenient conversion from Dipole.pos to MNI. - We have a new infant template MRI dataset downloader, mne.datasets.fetch_infant_template(). - Add digitizer information to mne.io.read_raw_egi(). - We now allow reading digitization from files other than *.fif in the coregistration GUI. - We managed to speed up mne.inverse_sparse.tf_mixed_norm() using STFT/ISTFT linearity. Data reading and writing - Moving over from EEGLAB? No problem! We?ve added support for reading new (2021) EEGLAB file format. - Moving back to EEGLAB? No problem either! You can now export Raw and Epochs to the EEGLAB format, thanks to the new export() methods and the eeglabio package. - mne.channels.read_custom_montage() got more versatile! It now supports CSV, TSV, and XYZ support formats. - StarStim / enobio NEDF files can now be read via mne.io.read_raw_nedf() . Channel types - There is now a new dbs channel type for deep brain stimulation recordings. Notable API changes - mne.beamformer.tf_dics() has been deprecated - The default of real_filter=False in mne.beamformer.make_dics() will change to True in the next version of MNE-Python. - mne.io.anonymize_info() now also anonymizes the sex and hand fields when keep_his=False. - Evoked objects have gained a new baseline attribute that is automatically assembled based on the baseline of the averaged Epochs. - mne.read_selection() has been deprecated in favor of mne.read_vectorview_selection(). - Fitting ICA on baseline-corrected Epochs, and / or applying it on baseline-corrected Epochs or Evoked data will now display a warning. Full changelog For a full list of improvements and API changes, see: https://mne.tools/stable/whats_new.html#version-0-23 Find the full documentation at https://mne.tools/ Installing the new release Since quite a few things ? including dependencies ? have changed, we recommend creating a new environment with a ?fresh? installation. Please follow the installation instructions on our website: https://mne.tools/stable/install/mne_python.html Feedback As usual, we welcome your bug reports, feature requests, critiques, and contributions. Development takes place on GitHub. If you would like to contribute, star the project, or just take a peek at the code, visit https://github.com/mne-tools/mne-python. You may follow us on Twitter: https://twitter.com/mne_news We hope you will enjoy the new features and many, many small improvements we have added, and are looking forward to receiving your feedback. Stay safe and take care! The MNE-Python developers Contributors MNE-Python is a community-driven project. We are always very happy to welcome new contributors of code and documentation! 41 people contributed to this release, and 11 of them contributed for the very first time ? thank you so much for your time and effort, we truly appreciate it! This is the list of contributors in alphabetical order (first-time contributors marked with a ?+?): - Adam Li - Alex Rockhill - Alexandre Gramfort - Ana Radanovic - Andres Rodriguez + - Anna Padee + - Apoorva Karekal + - Britta Westner - Catalina Magalvan - Christian Brodbeck - Christian Mista - Christian O?Reilly - Christina Zhao - Christopher J. Bailey - Clemens Brunner - Cora Kim + - Daniel McCloy - Denis A. Engemann - Dominik Welke + - Eduard Ort - Enrico Varano + - Eric Larson - Erica Peterson + - Evgenii Kalenkovich - Felix Klotzsche + - Giorgio Marinato - Guillaume Favelier - Jack Zhang+ - Jean-Remi King - Johann Benerradi - Joris Van den Bossche - Judy D Zhu + - Liberty Hamilton - Luke Bloy - Maggie Clarke + - Mainak Jas - Manorama Kadwani - Marijn van Vliet - Martin Schulz - Matt Sanderson + - Matteo Anelli + - Nicolas Gensollen - Ram Pari + - Richard H?chenberger - Richard Koehler + - Robert Luke - Rotem Falach + - Sebastien Treguer - Silvia Cotroneo + - Stefan Appelhoff - Steven Bierer - Sumalyo Datta + - Timon Merk - Tristan Stenner - Valerii Chirkov+ - Victoria Peterson - Yu-Han Luo - Zhi Zhang + -------------- next part -------------- An HTML attachment was scrubbed... URL: From bertrand.thirion at inria.fr Wed Apr 28 05:59:03 2021 From: bertrand.thirion at inria.fr (bthirion) Date: Wed, 28 Apr 2021 11:59:03 +0200 Subject: [Neuroimaging] [ANN] MNE-Python 0.23 In-Reply-To: References: Message-ID: Congratluations ! Bertrand On 28/04/2021 11:39, Alexandre Gramfort wrote: > > Hello everyone, > > We are very pleased to announce the new 0.23 release of MNE-Python! ??? > > This release includes 72 pull requests merged as part of our New > Developers Code Sprint in March, and more than a dozen > additional?contributions from those new developers after?the code sprint. > > Big thanks to all who participated!??????? > > > A few > highlights > > > General > infos > > * The MNE team has started offering regular fortnightly ?office > ours??on Discord to answer user questions. The next office hour > will take place this Friday at 16:00 UTC. Come say ?Hi!? at > https://discord.gg/2hF3V4yT9Q > * The community has now moved to a new forum?to answer users? > questions and make announcements (e.g., when office hours will be) > at https://mne.discourse.group/. > * The documentation at https://mne.tools ?now > features a new theme. We are continuously working to improve > layout, usability, and accessibility of our documentation. If you > discover anything you don?t like, that just doesn?t work for you, > or that might present a barrier to some users, please do reach out > to us! We?re looking forward to receiving your feedback. > > > Usability > > * Gone is the 15-character limitation for channel names when writing > FIFF files. > * Raw, Epochs, and Info objects now have a beautiful tabular > representation in Jupyter Notebooks. > * Ever wanted to add Annotations to individual channels? This is now > possible with the new |ch_names|?parameter. > * Annotations can now be exported to a pandas DataFramevia > |Annotations.to_data_frame()|. > * Interested in summary descriptive statistics for all your > channels? Have a look at the new |Raw.describe()|. > * Epochs and Evoked now allow you to easily apply transformations to > their data using the brand-new |apply_function()|?method. > * Epochs metadata can now be generated automatically from events > using |mne.epochs.make_metadata()|. > * Raw.get_data() now has a |units|?parameter to return data in the > desired unit. > > > Visualization > > * Dark mode! ? Source estimate plots can now detect the operating > system theme preferences and will apply a dark theme automatically > if the OS is currently in dark mode. Dark mode can also be > activated manually via the |theme|?parameter of |mne.viz.Brain|. > * Much improved interactive 3D plots in Jupyter Notebooks. (We?re > still trying to get Jupyter Lab to work nicely as well ??it > currently behaves rather erratically, though!) > * The new |silhouette|?parameter of |mne.viz.Brain|?can be used to > display sharp edges and to improve perception. > > > Source > imaging > > * New method |mne.Dipole.to_mni()|?for more convenient conversion > from |Dipole.pos|?to MNI. > * We have a new infant template MRI dataset downloader, > |mne.datasets.fetch_infant_template()|. > * Add digitizer information to |mne.io.read_raw_egi()|. > * We now allow reading digitization from files other than |*.fif|?in > the coregistration GUI. > * We managed to speed up |mne.inverse_sparse.tf_mixed_norm()|?using > STFT/ISTFT linearity. > > > Data > reading and writing > > * Moving over from EEGLAB? No problem! We?ve added support for > reading new (2021) EEGLAB file format. > * Moving back to EEGLAB? No problem either! You can now export Raw > and Epochs to the EEGLAB format, thanks to the new > |export()|?methods and the |eeglabio| > ?package. > * |mne.channels.read_custom_montage()|?got more versatile! It now > supports CSV, TSV, and XYZ support formats. > * StarStim / enobio NEDF files can now be read via > |mne.io.read_raw_nedf()|. > > > Channel > types > > * There is now a new |dbs|?channel type for deep brain stimulation > recordings. > > > Notable > API changes > > * |mne.beamformer.tf_dics()|?has been deprecated > * The default of |real_filter=False|?in > |mne.beamformer.make_dics()|?will change to |True|?in the next > version of MNE-Python. > * |mne.io.anonymize_info()|?now also anonymizes the |sex|?and > |hand|?fields when |keep_his=False|. > * Evoked objects have gained a new |baseline|?attribute that is > automatically assembled based on the baseline of the averaged Epochs. > * |mne.read_selection()|?has been deprecated in favor of > |mne.read_vectorview_selection()|. > * Fitting ICA on baseline-corrected Epochs, and / or applying it on > baseline-corrected Epochs or Evoked data will now display a warning. > > > Full > changelog > > For a full list of improvements and API changes, see: > > https://mne.tools/stable/whats_new.html#version-0-23 > > Find the full documentation at https://mne.tools/ > > > Installing > the new release > > Since quite a few things ? including dependencies ? have changed, we > recommend creating a new environment with a ?fresh? installation. > Please follow the installation instructions on our website: > > https://mne.tools/stable/install/mne_python.html > > > Feedback > > As usual, we welcome your bug reports, feature requests, critiques, > and contributions. Development takes place on GitHub. If you would > like to contribute, star the project, or just take a peek at the code, > visit https://github.com/mne-tools/mne-python. > > You may follow us on Twitter: https://twitter.com/mne_news > > We hope you will enjoy the new features and many, many small > improvements we have added, and are looking forward to receiving your > feedback. > > Stay safe and take care! > > The MNE-Python developers > > > Contributors > > MNE-Python is a community-driven project. We are always very happy to > welcome new contributors of code and documentation! 41 people > contributed to this release, and 11 of them contributed for the very > first time ? thank you so much for your time and effort, we truly > appreciate it! > > This is the list of contributors in alphabetical order (first-time > contributors marked with a ?+?): > > * Adam Li > * Alex Rockhill > * Alexandre Gramfort > * Ana Radanovic > * Andres Rodriguez + > * Anna Padee + > * Apoorva Karekal + > * Britta Westner > * Catalina Magalvan > * Christian Brodbeck > * Christian Mista > * Christian O?Reilly > * Christina Zhao > * Christopher J. Bailey > * Clemens Brunner > * Cora Kim + > * Daniel McCloy > * Denis A. Engemann > * Dominik Welke + > * Eduard Ort > * Enrico Varano + > * Eric Larson > * Erica Peterson + > * Evgenii Kalenkovich > * Felix Klotzsche + > * Giorgio Marinato > * Guillaume Favelier > * Jack Zhang+ > * Jean-Remi King > * Johann Benerradi > * Joris Van den Bossche > * Judy D Zhu + > * Liberty Hamilton > * Luke Bloy > * Maggie Clarke + > * Mainak Jas > * Manorama Kadwani > * Marijn van Vliet > * Martin Schulz > * Matt Sanderson + > * Matteo Anelli + > * Nicolas Gensollen > * Ram Pari + > * Richard H?chenberger > * Richard Koehler + > * Robert Luke > * Rotem Falach + > * Sebastien Treguer > * Silvia Cotroneo + > * Stefan Appelhoff > * Steven Bierer > * Sumalyo Datta + > * Timon Merk > * Tristan Stenner > * Valerii Chirkov+ > * Victoria Peterson > * Yu-Han Luo > * Zhi Zhang + > > > _______________________________________________ > Neuroimaging mailing list > Neuroimaging at python.org > https://mail.python.org/mailman/listinfo/neuroimaging -------------- next part -------------- An HTML attachment was scrubbed... URL: From jbpoline at gmail.com Wed Apr 28 08:48:53 2021 From: jbpoline at gmail.com (JB Poline) Date: Wed, 28 Apr 2021 08:48:53 -0400 Subject: [Neuroimaging] [ANN] MNE-Python 0.23 In-Reply-To: References: Message-ID: +1 on congrats ! JB On Wed, Apr 28, 2021 at 5:59 AM bthirion wrote: > Congratluations ! > Bertrand > > On 28/04/2021 11:39, Alexandre Gramfort wrote: > > Hello everyone, > > We are very pleased to announce the new 0.23 release of MNE-Python! ??? > > This release includes 72 pull requests merged as part of our New > Developers Code Sprint in March, and more than a dozen additional contributions > from those new developers after the code sprint. > > Big thanks to all who participated! ?????? > A few > highlights General > infos > > - The MNE team has started offering regular fortnightly ?office ours? on > Discord to answer user questions. The next office hour will take place this > Friday at 16:00 UTC. Come say ?Hi!? at https://discord.gg/2hF3V4yT9Q > - The community has now moved to a new forum to answer users? > questions and make announcements (e.g., when office hours will be) at > https://mne.discourse.group/. > - The documentation at https://mne.tools now features a new theme. We > are continuously working to improve layout, usability, and accessibility of > our documentation. If you discover anything you don?t like, that just > doesn?t work for you, or that might present a barrier to some users, please > do reach out to us! We?re looking forward to receiving your feedback. > > Usability > > - Gone is the 15-character limitation for channel names when writing > FIFF files. > - Raw, Epochs, and Info objects now have a beautiful tabular > representation in Jupyter Notebooks. > - Ever wanted to add Annotations to individual channels? This is now > possible with the new ch_names parameter. > - Annotations can now be exported to a pandas DataFramevia > Annotations.to_data_frame(). > - Interested in summary descriptive statistics for all your channels? > Have a look at the new Raw.describe(). > - Epochs and Evoked now allow you to easily apply transformations to > their data using the brand-new apply_function() method. > - Epochs metadata can now be generated automatically from events using > mne.epochs.make_metadata(). > - Raw.get_data() now has a units parameter to return data in the > desired unit. > > Visualization > > - Dark mode! ? Source estimate plots can now detect the operating > system theme preferences and will apply a dark theme automatically if the > OS is currently in dark mode. Dark mode can also be activated manually via > the theme parameter of mne.viz.Brain. > - Much improved interactive 3D plots in Jupyter Notebooks. (We?re > still trying to get Jupyter Lab to work nicely as well ? it currently > behaves rather erratically, though!) > - The new silhouette parameter of mne.viz.Brain can be used to display > sharp edges and to improve perception. > > Source imaging > > - New method mne.Dipole.to_mni() for more convenient conversion from > Dipole.pos to MNI. > - We have a new infant template MRI dataset downloader, > mne.datasets.fetch_infant_template(). > - Add digitizer information to mne.io.read_raw_egi(). > - We now allow reading digitization from files other than *.fif in the > coregistration GUI. > - We managed to speed up mne.inverse_sparse.tf_mixed_norm() using > STFT/ISTFT linearity. > > Data > reading and writing > > - Moving over from EEGLAB? No problem! We?ve added support for reading > new (2021) EEGLAB file format. > - Moving back to EEGLAB? No problem either! You can now export Raw and > Epochs to the EEGLAB format, thanks to the new export() methods and > the eeglabio package. > - mne.channels.read_custom_montage() got more versatile! It now > supports CSV, TSV, and XYZ support formats. > - StarStim / enobio NEDF files can now be read via > mne.io.read_raw_nedf(). > > Channel types > > - There is now a new dbs channel type for deep brain stimulation > recordings. > > Notable API > changes > > - mne.beamformer.tf_dics() has been deprecated > - The default of real_filter=False in mne.beamformer.make_dics() will > change to True in the next version of MNE-Python. > - mne.io.anonymize_info() now also anonymizes the sex and hand fields > when keep_his=False. > - Evoked objects have gained a new baseline attribute that is > automatically assembled based on the baseline of the averaged Epochs. > - mne.read_selection() has been deprecated in favor of > mne.read_vectorview_selection(). > - Fitting ICA on baseline-corrected Epochs, and / or applying it on > baseline-corrected Epochs or Evoked data will now display a warning. > > Full changelog > > For a full list of improvements and API changes, see: > > https://mne.tools/stable/whats_new.html#version-0-23 > > Find the full documentation at https://mne.tools/ > Installing > the new release > > Since quite a few things ? including dependencies ? have changed, we > recommend creating a new environment with a ?fresh? installation. Please > follow the installation instructions on our website: > > https://mne.tools/stable/install/mne_python.html > Feedback > > As usual, we welcome your bug reports, feature requests, critiques, and > contributions. Development takes place on GitHub. If you would like to > contribute, star the project, or just take a peek at the code, visit > https://github.com/mne-tools/mne-python. > > You may follow us on Twitter: https://twitter.com/mne_news > > We hope you will enjoy the new features and many, many small improvements > we have added, and are looking forward to receiving your feedback. > > Stay safe and take care! > > The MNE-Python developers > Contributors > > MNE-Python is a community-driven project. We are always very happy to > welcome new contributors of code and documentation! 41 people contributed > to this release, and 11 of them contributed for the very first time ? thank > you so much for your time and effort, we truly appreciate it! > > This is the list of contributors in alphabetical order (first-time > contributors marked with a ?+?): > > - Adam Li > - Alex Rockhill > - Alexandre Gramfort > - Ana Radanovic > - Andres Rodriguez + > - Anna Padee + > - Apoorva Karekal + > - Britta Westner > - Catalina Magalvan > - Christian Brodbeck > - Christian Mista > - Christian O?Reilly > - Christina Zhao > - Christopher J. Bailey > - Clemens Brunner > - Cora Kim + > - Daniel McCloy > - Denis A. Engemann > - Dominik Welke + > - Eduard Ort > - Enrico Varano + > - Eric Larson > - Erica Peterson + > - Evgenii Kalenkovich > - Felix Klotzsche + > - Giorgio Marinato > - Guillaume Favelier > - Jack Zhang+ > - Jean-Remi King > - Johann Benerradi > - Joris Van den Bossche > - Judy D Zhu + > - Liberty Hamilton > - Luke Bloy > - Maggie Clarke + > - Mainak Jas > - Manorama Kadwani > - Marijn van Vliet > - Martin Schulz > - Matt Sanderson + > - Matteo Anelli + > - Nicolas Gensollen > - Ram Pari + > - Richard H?chenberger > - Richard Koehler + > - Robert Luke > - Rotem Falach + > - Sebastien Treguer > - Silvia Cotroneo + > - Stefan Appelhoff > - Steven Bierer > - Sumalyo Datta + > - Timon Merk > - Tristan Stenner > - Valerii Chirkov+ > - Victoria Peterson > - Yu-Han Luo > - Zhi Zhang + > > > _______________________________________________ > Neuroimaging mailing listNeuroimaging at python.orghttps://mail.python.org/mailman/listinfo/neuroimaging > > > _______________________________________________ > Neuroimaging mailing list > Neuroimaging at python.org > https://mail.python.org/mailman/listinfo/neuroimaging > -------------- next part -------------- An HTML attachment was scrubbed... URL: From satra at mit.edu Thu Apr 29 11:42:50 2021 From: satra at mit.edu (Satrajit Ghosh) Date: Thu, 29 Apr 2021 11:42:50 -0400 Subject: [Neuroimaging] [ANN] MNE-Python 0.23 In-Reply-To: References: Message-ID: yes congrats indeed! cheers, satra On Wed, Apr 28, 2021 at 8:49 AM JB Poline wrote: > +1 on congrats ! > JB > > On Wed, Apr 28, 2021 at 5:59 AM bthirion > wrote: > >> Congratluations ! >> Bertrand >> >> On 28/04/2021 11:39, Alexandre Gramfort wrote: >> >> Hello everyone, >> >> We are very pleased to announce the new 0.23 release of MNE-Python! >> ??? >> >> This release includes 72 pull requests merged as part of our New >> Developers Code Sprint in March, and more than a dozen additional contributions >> from those new developers after the code sprint. >> >> Big thanks to all who participated! ?????? >> A few >> highlights General >> infos >> >> - The MNE team has started offering regular fortnightly ?office ours? on >> Discord to answer user questions. The next office hour will take place this >> Friday at 16:00 UTC. Come say ?Hi!? at https://discord.gg/2hF3V4yT9Q >> - The community has now moved to a new forum to answer users? >> questions and make announcements (e.g., when office hours will be) at >> https://mne.discourse.group/. >> - The documentation at https://mne.tools now features a new theme. We >> are continuously working to improve layout, usability, and accessibility of >> our documentation. If you discover anything you don?t like, that just >> doesn?t work for you, or that might present a barrier to some users, please >> do reach out to us! We?re looking forward to receiving your feedback. >> >> Usability >> >> - Gone is the 15-character limitation for channel names when writing >> FIFF files. >> - Raw, Epochs, and Info objects now have a beautiful tabular >> representation in Jupyter Notebooks. >> - Ever wanted to add Annotations to individual channels? This is now >> possible with the new ch_names parameter. >> - Annotations can now be exported to a pandas DataFramevia >> Annotations.to_data_frame(). >> - Interested in summary descriptive statistics for all your channels? >> Have a look at the new Raw.describe(). >> - Epochs and Evoked now allow you to easily apply transformations to >> their data using the brand-new apply_function() method. >> - Epochs metadata can now be generated automatically from events >> using mne.epochs.make_metadata(). >> - Raw.get_data() now has a units parameter to return data in the >> desired unit. >> >> Visualization >> >> - Dark mode! ? Source estimate plots can now detect the operating >> system theme preferences and will apply a dark theme automatically if the >> OS is currently in dark mode. Dark mode can also be activated manually via >> the theme parameter of mne.viz.Brain. >> - Much improved interactive 3D plots in Jupyter Notebooks. (We?re >> still trying to get Jupyter Lab to work nicely as well ? it currently >> behaves rather erratically, though!) >> - The new silhouette parameter of mne.viz.Brain can be used to >> display sharp edges and to improve perception. >> >> Source imaging >> >> - New method mne.Dipole.to_mni() for more convenient conversion from >> Dipole.pos to MNI. >> - We have a new infant template MRI dataset downloader, >> mne.datasets.fetch_infant_template(). >> - Add digitizer information to mne.io.read_raw_egi(). >> - We now allow reading digitization from files other than *.fif in >> the coregistration GUI. >> - We managed to speed up mne.inverse_sparse.tf_mixed_norm() using >> STFT/ISTFT linearity. >> >> Data >> reading and writing >> >> - Moving over from EEGLAB? No problem! We?ve added support for >> reading new (2021) EEGLAB file format. >> - Moving back to EEGLAB? No problem either! You can now export Raw >> and Epochs to the EEGLAB format, thanks to the new export() methods >> and the eeglabio package. >> - mne.channels.read_custom_montage() got more versatile! It now >> supports CSV, TSV, and XYZ support formats. >> - StarStim / enobio NEDF files can now be read via >> mne.io.read_raw_nedf(). >> >> Channel types >> >> - There is now a new dbs channel type for deep brain stimulation >> recordings. >> >> Notable >> API changes >> >> - mne.beamformer.tf_dics() has been deprecated >> - The default of real_filter=False in mne.beamformer.make_dics() will >> change to True in the next version of MNE-Python. >> - mne.io.anonymize_info() now also anonymizes the sex and hand fields >> when keep_his=False. >> - Evoked objects have gained a new baseline attribute that is >> automatically assembled based on the baseline of the averaged Epochs. >> - mne.read_selection() has been deprecated in favor of >> mne.read_vectorview_selection(). >> - Fitting ICA on baseline-corrected Epochs, and / or applying it on >> baseline-corrected Epochs or Evoked data will now display a warning. >> >> Full changelog >> >> For a full list of improvements and API changes, see: >> >> https://mne.tools/stable/whats_new.html#version-0-23 >> >> Find the full documentation at https://mne.tools/ >> Installing >> the new release >> >> Since quite a few things ? including dependencies ? have changed, we >> recommend creating a new environment with a ?fresh? installation. Please >> follow the installation instructions on our website: >> >> https://mne.tools/stable/install/mne_python.html >> Feedback >> >> As usual, we welcome your bug reports, feature requests, critiques, and >> contributions. Development takes place on GitHub. If you would like to >> contribute, star the project, or just take a peek at the code, visit >> https://github.com/mne-tools/mne-python. >> >> You may follow us on Twitter: https://twitter.com/mne_news >> >> We hope you will enjoy the new features and many, many small improvements >> we have added, and are looking forward to receiving your feedback. >> >> Stay safe and take care! >> >> The MNE-Python developers >> Contributors >> >> MNE-Python is a community-driven project. We are always very happy to >> welcome new contributors of code and documentation! 41 people contributed >> to this release, and 11 of them contributed for the very first time ? thank >> you so much for your time and effort, we truly appreciate it! >> >> This is the list of contributors in alphabetical order (first-time >> contributors marked with a ?+?): >> >> - Adam Li >> - Alex Rockhill >> - Alexandre Gramfort >> - Ana Radanovic >> - Andres Rodriguez + >> - Anna Padee + >> - Apoorva Karekal + >> - Britta Westner >> - Catalina Magalvan >> - Christian Brodbeck >> - Christian Mista >> - Christian O?Reilly >> - Christina Zhao >> - Christopher J. Bailey >> - Clemens Brunner >> - Cora Kim + >> - Daniel McCloy >> - Denis A. Engemann >> - Dominik Welke + >> - Eduard Ort >> - Enrico Varano + >> - Eric Larson >> - Erica Peterson + >> - Evgenii Kalenkovich >> - Felix Klotzsche + >> - Giorgio Marinato >> - Guillaume Favelier >> - Jack Zhang+ >> - Jean-Remi King >> - Johann Benerradi >> - Joris Van den Bossche >> - Judy D Zhu + >> - Liberty Hamilton >> - Luke Bloy >> - Maggie Clarke + >> - Mainak Jas >> - Manorama Kadwani >> - Marijn van Vliet >> - Martin Schulz >> - Matt Sanderson + >> - Matteo Anelli + >> - Nicolas Gensollen >> - Ram Pari + >> - Richard H?chenberger >> - Richard Koehler + >> - Robert Luke >> - Rotem Falach + >> - Sebastien Treguer >> - Silvia Cotroneo + >> - Stefan Appelhoff >> - Steven Bierer >> - Sumalyo Datta + >> - Timon Merk >> - Tristan Stenner >> - Valerii Chirkov+ >> - Victoria Peterson >> - Yu-Han Luo >> - Zhi Zhang + >> >> >> _______________________________________________ >> Neuroimaging mailing listNeuroimaging at python.orghttps://mail.python.org/mailman/listinfo/neuroimaging >> >> >> _______________________________________________ >> Neuroimaging mailing list >> Neuroimaging at python.org >> https://mail.python.org/mailman/listinfo/neuroimaging >> > _______________________________________________ > Neuroimaging mailing list > Neuroimaging at python.org > https://mail.python.org/mailman/listinfo/neuroimaging > -------------- next part -------------- An HTML attachment was scrubbed... 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