2026 may be the year of the Linux desktop 🐧.
I can think of three good reasons:
1. Windows is on the decline. Bugs, bloat and unwanted AI features make it less and less usable
2. Linux has a lot of momentum. Adoption rates are rising and Linux increasingly establishes itself in the gaming market.
3. Reliance on US software is becoming a security risk. The increasing hostility drives Europeans to seek alternatives.
Full post: https://olebialas.com/posts/year-of-the-linux-desktop/
Want to learn how to manage and version-control scientific data using a free and open source distributed system?
Then join me on Dec 5th for a 1-day introductory workshop on DataLad!
It's online and free and you can sign up here if you are interested:
https://uni-bonn.zoom-x.de/meeting/register/NXLr36CrRjuIdLn3ATeFzA
On the day before, I'll host another 1-day workshop where you can learn the prerequisite computer skills like using a terminal and version control with git:
https://uni-bonn.zoom-x.de/meeting/register/gae1BhW7T-u5EGEZl-2SGw
Computer tools can help scientists make their research more reproducible, facilitate collaboration with other researchers, and enhance their productivity. This one-day course provides an introduction to the essential tools for organizing and managing computational projects, as well as sharing code and data with other scientists. Participants will learn about writing and running code with Visual Studio Code and Jupyter Notebooks, managing Python environments with pixi, version control with Git and sharing code and data with GitHub and Sciebo. After this course, participants will be equipped with the tools to do professional computational research. - When: Dec 4th, 2025 @ 9:30 – 17:00 CET - Trainer: Dr. Ole Bialas - Format: Hands-On Workshop (>50% Small-Group Exercises) - Length: 6 Hours - Prerequisites: None. Participants of all skill levels and backgrounds are welcome! - Topics: - Installing Scientific Software: Package Management and Project with Pixi and Pip - Working with Code: Editing and Running Code with the Terminal, the Visual Studio Code IDE and Jupyter Notebooks - Managing Scientific Projects: Version Control and Backups with Git, GitHub, and Sciebo - Technical Requirements: - Windows, Mac, or Linux computer - Software: - VSCode: https://code.visualstudio.com/download - Git: https://git-scm.com/downloads - pixi: https://pixi.sh/latest/installation/ - Accounts: - GitHub: https://github.com/ - Sciebo: https://hochschulcloud.nrw/ - Certification: Students who attend at least 75% of the course will receive a participation certificate by email at the end of the course
A demonstration of UnitMatch, a Bayesian algorithm that matches units based on average waveforms across recordings. I simulate multi-session electrophysiological data with SpikeInterface and track units across recordings.
New blog post! Using Python with Pandas and Seaborn to analyze a and visualize the activity from hundreds of neurons in the visual cortex:
https://olebialas.github.io/posts/2025-09-03-psth_with_pandas/
Hey Mastodon!
I have a website where I occasionally blog about neuroscience and coding topics like data visualization or automated preprocessing of EEG. If that sounds interesting to you have a look:
olebialas.github.io/posts
