Glickfeld-And-Hull-Laboratories/ImagingCode-Glickfeld-Hull
Jun 2025 – Jun 2025
1 Month active
Languages Used
MATLAB
Technical Skills
Data AnalysisImage ProcessingMATLAB ScriptingNeuroscience Data AnalysisScientific Computing
mgs72
PROFILE
Mgs72
Developed and delivered a cross-orientation analysis pipeline for the Glickfeld-And-Hull-Laboratories/ImagingCode-Glickfeld-Hull repository, focusing on enhancing the analysis of visual stimulus responses in neuroscience experiments. The work involved refactoring timecourse plotting, implementing phase-response analysis, and introducing new data processing workflows to improve interpretability and reproducibility. Quality assessment features were added to standardize data evaluation across experimental conditions, streamlining the analysis process. All enhancements were implemented using MATLAB, leveraging skills in data analysis, image processing, and scientific computing. The resulting updates accelerated data interpretation and aligned the codebase more closely with experimental workflows, supporting robust neuroscience data analysis.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
4,167
Activity Months1
Your Network
31 peopleSame Organization
@duke.edu21
Humam Al-ShamiMember
Bryan ChanMember
Bo YuMember
CelineMember
Chris WalterMember
HyeYun ParkMember
HakenmuellerMember
Jude AlnasMember
Kelly XuMember
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for Glickfeld-And-Hull-Laboratories/ImagingCode-Glickfeld-Hull focusing on cross-orientation analysis enhancements and related quality improvements. Delivered a pipeline and visualization enhancements enabling streamlined cross-orientation analysis of visual stimulus responses, including timecourse refactor, phase-response analysis, and cross-condition quality assessments. The work accelerates data interpretation, improves reproducibility, and aligns with experimental workflows.
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for Glickfeld-And-Hull-Laboratories/ImagingCode-Glickfeld-Hull focusing on cross-orientation analysis enhancements and related quality improvements. Delivered a pipeline and visualization enhancements enabling streamlined cross-orientation analysis of visual stimulus responses, including timecourse refactor, phase-response analysis, and cross-condition quality assessments. The work accelerates data interpretation, improves reproducibility, and aligns with experimental workflows.
June 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
Data AnalysisImage ProcessingMATLAB ScriptingNeuroscience Data AnalysisScientific Computing
Repositories Contributed To
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