Fernando-JAL/Neurociencias-2026-1
Oct 2025 – Oct 2025
1 Month active
Languages Used
JSONPython
Technical Skills
Data AnalysisData VisualizationJupyter NotebooksMatplotlibNetworkXNumpy
moncerdz160502-creator
PROFILE
Moncerdz160502-creator
Developed a brain connectivity visualization toolkit for the Fernando-JAL/Neurociencias-2026-1 repository, focusing on enabling exploratory analysis and reproducible research within Jupyter notebooks. The solution supported 3D EEG connectivity visualization and provided workflows for loading connectivity data and generating both full-matrix and filtered heatmaps. Leveraging Python, Pandas, and Matplotlib, the developer implemented modular visualization components and data pipelines to facilitate flexible data manipulation and analysis. No major bugs were addressed during this period, with stability validated for the toolkit. The work accelerated brain-network analysis and laid a foundation for future feature expansion in neuroscience data visualization and research workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
8,059
Activity Months1
Your Network
4 peopleShared Repositories
4
Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025Oct 2025 monthly summary: Delivered the Brain connectivity visualization toolkit for Fernando-JAL/Neurociencias-2026-1, enabling notebooks-based exploration, 3D EEG connectivity visualization, and data manipulation workflows including loading connectivity data and generating heatmaps (full matrix and filtered subset). No major bugs fixed this month. Overall impact: accelerates brain-network analysis, enhances reproducibility, and expands visualization capabilities, strengthening research-to-prod readiness. Technologies and skills demonstrated: Python-based data processing, Jupyter notebook workflows, 3D visualization, heatmap generation, and modular visualization scaffolding.
2 Commits • 1 Features
Oct 1, 2025Oct 2025 monthly summary: Delivered the Brain connectivity visualization toolkit for Fernando-JAL/Neurociencias-2026-1, enabling notebooks-based exploration, 3D EEG connectivity visualization, and data manipulation workflows including loading connectivity data and generating heatmaps (full matrix and filtered subset). No major bugs fixed this month. Overall impact: accelerates brain-network analysis, enhances reproducibility, and expands visualization capabilities, strengthening research-to-prod readiness. Technologies and skills demonstrated: Python-based data processing, Jupyter notebook workflows, 3D visualization, heatmap generation, and modular visualization scaffolding.
October 2025
Activity
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Quality Metrics
Correctness70.0%
Maintainability70.0%
Architecture60.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONPython
Technical Skills
Data AnalysisData VisualizationJupyter NotebooksMatplotlibNetworkXNumpyPandasPythonSciPySeaborn
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