ayalab1/neurocode
Feb 2025 – Feb 2025
1 Month active
Languages Used
Git ConfigurationMATLAB
Technical Skills
Behavioral Data AnalysisCode CleanupMATLAB ProgrammingNeuroscience Data AnalysisPlace Cell AnalysisSignal Processing
raltodo
PROFILE
Raltodo
During February 2025, Ryan Tang developed a Firing Rate Map Analysis Pipeline for the ayalab1/neurocode repository, enabling robust place cell analysis through MATLAB scripts that generate 1D and 2D firing rate maps and associated statistics. His work incorporated behavioral data analysis and signal processing, with helper functions to streamline neural data workflows and support reproducible research. In addition to building new analysis capabilities, Ryan improved repository maintainability by updating Git configuration and removing editor backup files, ensuring a cleaner codebase for collaborators. The depth of his contributions reflects a focus on both technical rigor and collaborative code hygiene.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
903
Activity Months1
Your Network
127 people
Work History
February 2025
3 Commits • 2 Features
Feb 1, 2025February 2025 (2025-02) monthly summary for ayalab1/neurocode. Focused on delivering a core neural data analysis capability and improving repository hygiene. Delivered a Firing Rate Map Analysis Pipeline for Place Cells using MATLAB scripts enabling 1D/2D firing rate maps and statistics, plus helper data processing functions, accelerating reproducible place cell analysis. Also performed codebase hygiene by updating .gitignore to exclude editor backup files and removing existing backups, reducing noise and risk during collaboration. No major bugs fixed this month; maintenance tasks completed to stabilize the codebase and ensure clean commits.
3 Commits • 2 Features
Feb 1, 2025February 2025 (2025-02) monthly summary for ayalab1/neurocode. Focused on delivering a core neural data analysis capability and improving repository hygiene. Delivered a Firing Rate Map Analysis Pipeline for Place Cells using MATLAB scripts enabling 1D/2D firing rate maps and statistics, plus helper data processing functions, accelerating reproducible place cell analysis. Also performed codebase hygiene by updating .gitignore to exclude editor backup files and removing existing backups, reducing noise and risk during collaboration. No major bugs fixed this month; maintenance tasks completed to stabilize the codebase and ensure clean commits.
February 2025
Activity
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Quality Metrics
Correctness96.6%
Maintainability93.4%
Architecture96.6%
Performance93.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Git ConfigurationMATLAB
Technical Skills
Behavioral Data AnalysisCode CleanupMATLAB ProgrammingNeuroscience Data AnalysisPlace Cell AnalysisSignal ProcessingSpike SortingVersion Control
Repositories Contributed To
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