Glickfeld-And-Hull-Laboratories/ImagingCode-Glickfeld-Hull
Feb 2025 – Feb 2025
1 Month active
Languages Used
MATLAB
Technical Skills
Behavioral AnalysisData AnalysisImage Processing
Lindsey Wilson
PROFILE
Lindsey Wilson
In February 2025, Lauren Wilson developed a configuration update and data loading refactor for the widefield running analysis pipeline within the ImagingCode-Glickfeld-Hull repository. She focused on enhancing the accuracy and reliability of locomotion analysis by updating file paths and experimental parameters to support new experimental configurations. Using MATLAB and applying skills in behavioral analysis, data analysis, and image processing, Lauren restructured the data loading and processing workflow to improve maintainability and future configurability. Her work addressed the need for scalable, robust data handling in widefield imaging experiments, aligning with project standards and laying groundwork for future experimental flexibility.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
31
Activity Months1
Your Network
10 people
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 focused on delivering a key feature in the widefield running analysis pipeline for Locomotion Analysis within ImagingCode-Glickfeld-Hull. Implemented a configuration update and data loading refactor to support new experimental configurations, enhancing data handling accuracy and reliability for locomotion analyses. This work improves workflow robustness and sets the foundation for scalable, configurable analyses across future experiments. Committed work integrated with the Glickfeld-Hull imaging codebase, aligning with ongoing project goals and quality standards.
1 Commits • 1 Features
Feb 1, 2025February 2025 focused on delivering a key feature in the widefield running analysis pipeline for Locomotion Analysis within ImagingCode-Glickfeld-Hull. Implemented a configuration update and data loading refactor to support new experimental configurations, enhancing data handling accuracy and reliability for locomotion analyses. This work improves workflow robustness and sets the foundation for scalable, configurable analyses across future experiments. Committed work integrated with the Glickfeld-Hull imaging codebase, aligning with ongoing project goals and quality standards.
February 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MATLAB
Technical Skills
Behavioral AnalysisData AnalysisImage Processing
Repositories Contributed To
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