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 leveraging her skills in behavioral analysis, data analysis, and image processing, Lauren improved the maintainability and scalability of the pipeline. Her work established a more robust workflow for handling widefield locomotion data, aligning with project standards and enabling future configurability for evolving experimental needs in the Glickfeld-Hull codebase.
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 peopleWork 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
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