ibs-lab/cedalion
Nov 2024 – Jun 2025
6 Months active
Languages Used
MarkdownJupyter NotebookPythonJSONMakefileRSTreStructuredTextrst
Technical Skills
DocumentationLinear AlgebraNumerical ComputingOptimization3D RenderingCode Refactoring
Alexander von Lühmann
PROFILE
Alexander Von Lühmann
Avon Luh contributed to the ibs-lab/cedalion repository by developing and refining neuroimaging data analysis and visualization tools over six months. He implemented features such as advanced 3D rendering, time-series visualization, and robust signal processing workflows using Python, NumPy, and Xarray. Avon enhanced data reconstruction stability through regularization techniques and optimized solver performance for efficiency. He improved documentation and onboarding by updating notebooks, fixing broken links, and clarifying technical guidance, ensuring reproducibility and ease of use. His work addressed both algorithmic depth and usability, resulting in a maintainable codebase that supports reliable fNIRS data analysis and artifact mitigation.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
32Total
Bugs
2
Commits
32
Features
10
Lines of code
9,552
Activity Months6
Your Network
10 people
Work History
June 2025
12 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for ibs-lab/cedalion: Delivered two major features to enhance neuroimaging workflows, improve reliability, and boost research productivity. AMPD enhancements and Physio docs & examples significantly improved discoverability and usability: added a publication reference in the core physio function, introduced a heartbeat analysis notebook, refined the finger-tapping example, and updated physio docs with autosummary, improved type hints, and doc sections; included related notebook and module documentation to streamline onboarding and reproducibility. Noise mitigation in fNIRS introduced measurement_variance to estimate channel noise and enable downweighting of noisy channels; refactored unit handling, renamed global_physio_subtract to global_component_subtract, and expanded notebooks to demonstrate weighted global physiology removal and channel-variance-based artifact handling. Documentation and maintainability improvements included updated notebooks, docs, and changelog entries to ensure consistency and easier onboarding. Overall, these changes reduce analysis friction, improve data quality, and strengthen Cedalion's reliability for neuroimaging research.
12 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for ibs-lab/cedalion: Delivered two major features to enhance neuroimaging workflows, improve reliability, and boost research productivity. AMPD enhancements and Physio docs & examples significantly improved discoverability and usability: added a publication reference in the core physio function, introduced a heartbeat analysis notebook, refined the finger-tapping example, and updated physio docs with autosummary, improved type hints, and doc sections; included related notebook and module documentation to streamline onboarding and reproducibility. Noise mitigation in fNIRS introduced measurement_variance to estimate channel noise and enable downweighting of noisy channels; refactored unit handling, renamed global_physio_subtract to global_component_subtract, and expanded notebooks to demonstrate weighted global physiology removal and channel-variance-based artifact handling. Documentation and maintainability improvements included updated notebooks, docs, and changelog entries to ensure consistency and easier onboarding. Overall, these changes reduce analysis friction, improve data quality, and strengthen Cedalion's reliability for neuroimaging research.
June 2025
May 2025
2 Commits • 2 Features
May 1, 2025In May 2025, the team delivered two core features for ibs-lab/cedalion that advance data processing workflows and artifacts analysis, along with documentation improvements to enable reproducible results. No significant bugs were recorded; the focus was on feature delivery, quality of documentation, and strengthening round-trip data capabilities.
May 2025
2 Commits • 2 Features
May 1, 2025In May 2025, the team delivered two core features for ibs-lab/cedalion that advance data processing workflows and artifacts analysis, along with documentation improvements to enable reproducible results. No significant bugs were recorded; the focus was on feature delivery, quality of documentation, and strengthening round-trip data capabilities.
April 2025
11 Commits • 3 Features
Apr 1, 2025April 2025 saw targeted delivery in ibs-lab/cedalion of enhanced neuroimaging visualization, stability-focused reconstruction, and documentation improvements. Key outcomes include animated and multi-view visualizations with XArray-backed time-series, a regularization-enabled pseudo-inverse for more stable reconstructions, and renamed/docs updates that improve reproducibility and onboarding. These changes offer clearer data interpretation, more reliable analyses, and faster researcher onboarding, while maintaining a lean, refactored codebase.
11 Commits • 3 Features
Apr 1, 2025April 2025 saw targeted delivery in ibs-lab/cedalion of enhanced neuroimaging visualization, stability-focused reconstruction, and documentation improvements. Key outcomes include animated and multi-view visualizations with XArray-backed time-series, a regularization-enabled pseudo-inverse for more stable reconstructions, and renamed/docs updates that improve reproducibility and onboarding. These changes offer clearer data interpretation, more reliable analyses, and faster researcher onboarding, while maintaining a lean, refactored codebase.
April 2025
March 2025
5 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for ibs-lab/cedalion focused on delivering user-facing capabilities and performance improvements that drive onboarding speed, reliability, and solve efficiency.
March 2025
5 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for ibs-lab/cedalion focused on delivering user-facing capabilities and performance improvements that drive onboarding speed, reliability, and solve efficiency.
February 2025
1 Commits
Feb 1, 2025February 2025 monthly summary for ibs-lab/cedalion: Focused on improving notebook documentation reliability by fixing a broken GUI image link in a notebook. This change corrects the image path to ensure the image displays properly, improving documentation accuracy and user guidance with minimal user friction. The work enhances overall documentation quality and maintainability, aligning with product onboarding and support goals.
1 Commits
Feb 1, 2025February 2025 monthly summary for ibs-lab/cedalion: Focused on improving notebook documentation reliability by fixing a broken GUI image link in a notebook. This change corrects the image path to ensure the image displays properly, improving documentation accuracy and user guidance with minimal user friction. The work enhances overall documentation quality and maintainability, aligning with product onboarding and support goals.
February 2025
November 2024
1 Commits
Nov 1, 2024Month 2024-11 — ibs-lab/cedalion: Documentation stability and onboarding focus. Delivered a critical bug fix to the README that restores access to the example notebooks, improving user experience and reducing potential support queries. No new features were released this month; instead, the emphasis was on ensuring existing resources are accurate and actionable for users and contributors.
November 2024
1 Commits
Nov 1, 2024Month 2024-11 — ibs-lab/cedalion: Documentation stability and onboarding focus. Delivered a critical bug fix to the README that restores access to the example notebooks, improving user experience and reducing potential support queries. No new features were released this month; instead, the emphasis was on ensuring existing resources are accurate and actionable for users and contributors.
Activity
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Quality Metrics
Correctness90.6%
Maintainability91.2%
Architecture88.8%
Performance84.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMakefileMarkdownPythonRSTreStructuredTextrst
Technical Skills
3D RenderingAlgorithm ImplementationCode RefactoringData AnalysisData CleaningData ReconstructionData VisualizationDocumentationExample DevelopmentGIF GenerationImage ProcessingImage RenderingJupyter NotebookJupyter NotebooksLinear Algebra
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