I have 10+ years of university-level education.
But no lecture taught me how to create good visualizations.
These things are crucial for communication but are often not part of the training.
So, let's have a crash course on visualization guidelines anyone can implement. 🧵
🎂 MNE-Python is turning 1.0!
We're extremely happy & excited to let you all know that MNE-Python has just turned 1.0 after more than one decade of continuous development!
We would like to thank all of our users & contributors! 🙏
#meg#eeg#ieeg#fnirs
https://t.co/Zob5hYBU2l
А вот антивоенная петиция Льва Пономарева хорошо идёт: 150 тыс за 4 часа. Эта петиция не адресная, а декларативная — её смысл в демонстрации массовости общественной позиции.
https://t.co/EGb1rAtn27
1/n Happy to share our latest paper, "A general theory of coherence between brain areas", led by @MariusSchneide2.
Is coherence between brain areas a mechanism for communication, or is it a byproduct of interareal connectivity and oscillatory power?
https://t.co/cT1mymX9Wg
Thanks to @NumFOCUS, @matplotlib now has brand new cheatsheets (1 & 2) and handouts (beginners, intermediate and tips). See https://t.co/VYQ2qOGFy3. #Python#SciPyConf2020
Progress bar package for python: https://t.co/eYPT5jillM. I just wish I had googled it earlier. No more print(i) in loops to get progress in lengthy computations
Just learned an awesome way to quickly estimate if a matrix is positive-definite: https://t.co/kDatEJA641. If all diagonal elements are positive and each is further away from zero than the sum of absolute nondiag. values in its row then the matrix is pos. definite
Can be used to quickly plot data or check raw file info.
The script, of course, can be more complex to handle epochs, forwards and other stuff as well.
A trick for opening .fif files from a terminal :
1) write a python script `~/open_fif.py` such as `import sys; import mne; raw_path = sys.argv[1]; raw = https://t.co/afnA7spEg5.Raw(raw_path)`
2) define an alias `open_fif = 'ipython -i ~/open_fif.py'`
3) PROFIT.
The amazing @NPRougier (who has made many of the more explanatory images in our docs) has made this fantastic 3.1 cheatsheet! Find out how at https://t.co/1CkQWJDIJw