spm/spm
Feb 2025 – Jun 2026
10 Months active
Languages Used
MATLAB
Technical Skills
3D Mesh ManipulationBug FixBug FixingCode RefactoringConfigurationConfiguration Management
barnesgr123
PROFILE
Barnesgr123
Over a ten-month period, contributed to the spm/spm repository by developing and refining advanced workflows for EEG and MEG data analysis, simulation, and visualization. Leveraging MATLAB and scientific computing techniques, delivered features such as mesh manipulation, spatial mode selection, and robust data filtering across epochs, while enhancing reproducibility and clarity in simulation outputs. Addressed critical bugs in unit handling, plotting, and data loading to improve reliability and maintainability. The work emphasized code refactoring, testing, and configuration management, resulting in more flexible, accurate, and scalable pipelines for brain imaging research and supporting end-to-end analysis within electrophysiology domains.
Overall Statistics
Feature vs Bugs
68%Features
Repository Contributions
35Total
Bugs
7
Commits
35
Features
15
Lines of code
2,871
Activity Months10
Your Network
65 peopleShared Repositories
22
Work History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026: Focused on EEG inversion workflow improvements in spm/spm. Key feature delivered: Spatial Modes Enhancement in EEG inversion preparation, enabling flexible spatial mode selection and clearer outputs. Implemented via commit 160249e767ff2b84f828ca67a02c605094c18bd8 (Update spm_eeg_inv_prep_modes_xval.m). Impact: more flexible, reproducible EEG preprocessing, reducing manual configuration and improving downstream analysis clarity. Technologies/skills demonstrated: MATLAB, SPM, EEG data processing, cross-validation integration, code refactor. No major bugs fixed this month.
1 Commits • 1 Features
Jun 1, 2026June 2026: Focused on EEG inversion workflow improvements in spm/spm. Key feature delivered: Spatial Modes Enhancement in EEG inversion preparation, enabling flexible spatial mode selection and clearer outputs. Implemented via commit 160249e767ff2b84f828ca67a02c605094c18bd8 (Update spm_eeg_inv_prep_modes_xval.m). Impact: more flexible, reproducible EEG preprocessing, reducing manual configuration and improving downstream analysis clarity. Technologies/skills demonstrated: MATLAB, SPM, EEG data processing, cross-validation integration, code refactor. No major bugs fixed this month.
June 2026
May 2026
7 Commits • 3 Features
May 1, 2026May 2026 monthly highlights focused on expanding data processing capabilities, improving reliability and testability across MEEG workflows, and boosting cross-platform compatibility. Key outcomes include a new reverse filtering option for MEEG data across epochs, a robust mesh path handling refactor with enhanced debugging traceability, a bug fix in custom design mode ensuring reliable contrast variable handling, and improved EEG inversion testing through channel shuffling and removal of fixed random seeds. Overall, these changes accelerate end-to-end analysis pipelines, reduce failure modes in multi-epoch processing, and strengthen pipeline robustness for scalable deployments.
May 2026
7 Commits • 3 Features
May 1, 2026May 2026 monthly highlights focused on expanding data processing capabilities, improving reliability and testability across MEEG workflows, and boosting cross-platform compatibility. Key outcomes include a new reverse filtering option for MEEG data across epochs, a robust mesh path handling refactor with enhanced debugging traceability, a bug fix in custom design mode ensuring reliable contrast variable handling, and improved EEG inversion testing through channel shuffling and removal of fixed random seeds. Overall, these changes accelerate end-to-end analysis pipelines, reduce failure modes in multi-epoch processing, and strengthen pipeline robustness for scalable deployments.
March 2026
3 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for spm/spm: Delivered key feature enhancements to the distortion testing framework and a critical EEG plotting bug fix. The work improves test coverage, data reliability, and business value in EEG/OPM workflows.
3 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for spm/spm: Delivered key feature enhancements to the distortion testing framework and a critical EEG plotting bug fix. The work improves test coverage, data reliability, and business value in EEG/OPM workflows.
March 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for spm/spm: Focused on enhancing MEEGtools mesh visualization and organizing simulation outputs to improve clarity, reproducibility, and business value. Delivered a targeted visualization enhancement, plus improvements in output organization to streamline downstream analysis.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for spm/spm: Focused on enhancing MEEGtools mesh visualization and organizing simulation outputs to improve clarity, reproducibility, and business value. Delivered a targeted visualization enhancement, plus improvements in output organization to streamline downstream analysis.
December 2025
4 Commits • 1 Features
Dec 1, 2025December 2025 – Spm/spm: Delivered significant EEG brain mesh simulation enhancements, improved data loading reliability, and code quality improvements, delivering business value through more accurate simulations, robust data ingestion, and maintainable code for future research and deployment.
4 Commits • 1 Features
Dec 1, 2025December 2025 – Spm/spm: Delivered significant EEG brain mesh simulation enhancements, improved data loading reliability, and code quality improvements, delivering business value through more accurate simulations, robust data ingestion, and maintainable code for future research and deployment.
December 2025
November 2025
3 Commits • 2 Features
Nov 1, 2025Month: 2025-11 — Delivered end-to-end MEG data workflow in spm/spm: (1) MEG brain data simulation, distortion, and reconstruction in the SPM toolbox using MATLAB; supports multiple scenarios, distorts brain meshes, and performs source reconstruction with different inversion methods, built on SPM test data from the CTF system. (2) Enhanced visualization for MEG simulations with clearer plots, adjusted color schemes to distinguish true vs distorted surfaces, and optimizations to reduce recalculations for faster rendering. Impact: enables researchers to run reproducible MEG pipelines end-to-end, improves interpretability of results, and accelerates experimentation with inversion methods. Technologies/skills demonstrated: MATLAB scripting, SPM toolbox integration, data visualization, and performance-focused code quality. Bugs fixed: none reported this month; work focused on feature delivery and visual/data quality improvements.
November 2025
3 Commits • 2 Features
Nov 1, 2025Month: 2025-11 — Delivered end-to-end MEG data workflow in spm/spm: (1) MEG brain data simulation, distortion, and reconstruction in the SPM toolbox using MATLAB; supports multiple scenarios, distorts brain meshes, and performs source reconstruction with different inversion methods, built on SPM test data from the CTF system. (2) Enhanced visualization for MEG simulations with clearer plots, adjusted color schemes to distinguish true vs distorted surfaces, and optimizations to reduce recalculations for faster rendering. Impact: enables researchers to run reproducible MEG pipelines end-to-end, improves interpretability of results, and accelerates experimentation with inversion methods. Technologies/skills demonstrated: MATLAB scripting, SPM toolbox integration, data visualization, and performance-focused code quality. Bugs fixed: none reported this month; work focused on feature delivery and visual/data quality improvements.
September 2025
1 Commits
Sep 1, 2025Month: 2025-09 — spm/spm: Focused on reliability and correctness with no new feature releases. Key deliverable: EEG Simulation Unit Handling and SI Conversion Bug Fix, with changes to convert sensor units to SI, detect and fix unit mismatches in forward model calculations, and enforce consistent unit usage. Impact: improved numerical accuracy and consistency across EEG simulations, reducing rework due to unit errors and enabling smoother downstream analyses. Skills demonstrated: unit-aware numerical computing, SI unit handling, debugging, and maintainability improvements.
1 Commits
Sep 1, 2025Month: 2025-09 — spm/spm: Focused on reliability and correctness with no new feature releases. Key deliverable: EEG Simulation Unit Handling and SI Conversion Bug Fix, with changes to convert sensor units to SI, detect and fix unit mismatches in forward model calculations, and enforce consistent unit usage. Impact: improved numerical accuracy and consistency across EEG simulations, reducing rework due to unit errors and enabling smoother downstream analyses. Skills demonstrated: unit-aware numerical computing, SI unit handling, debugging, and maintainability improvements.
September 2025
August 2025
2 Commits • 1 Features
Aug 1, 20252025-08 Monthly Summary for spm/spm: Focused feature delivery and targeted bug fixes to improve MEEG data integrity and EEG visualization reliability. Delivered a new MEEG object path update feature and fixed a plotting indexing bug to ensure accurate trial representation, driving better research efficiency and reproducibility. Key features delivered: - MEEG Object Path Update Enhancement: Added spm_setmeshpaths.m to update mesh and MRI file paths in an MEEG object, with directory specification and optional index to modify specific locations; saves the updated object. Commit ed96f2a5748348227dcd52e8b36e23ab066c9bf3. Major bugs fixed: - EEG Simulation Plotting Indexing Fix: Corrected plotting of EEG simulation trials by fixing indexing to display the first trial from trialind correctly instead of a hardcoded 'trial one', improving visualization accuracy. Commit 87e31bd8563a3ca42489f29a9c3550d6ac3b92df. Overall impact and accomplishments: - Improves data integrity and reproducibility for MEEG analyses by enabling reliable path management and object persistence. - Enhances visualization reliability for EEG simulations, reducing user confusion and potential misinterpretation of trial data. - Demonstrates end-to-end feature development and bug resolution within spm/spm, contributing to a more maintainable and trustworthy codebase. Technologies/skills demonstrated: - MATLAB scripting for object manipulation and MEEG data structures. - Robust indexing and data handling in plotting routines. - Version control discipline with focused commits and clear messages.
August 2025
2 Commits • 1 Features
Aug 1, 20252025-08 Monthly Summary for spm/spm: Focused feature delivery and targeted bug fixes to improve MEEG data integrity and EEG visualization reliability. Delivered a new MEEG object path update feature and fixed a plotting indexing bug to ensure accurate trial representation, driving better research efficiency and reproducibility. Key features delivered: - MEEG Object Path Update Enhancement: Added spm_setmeshpaths.m to update mesh and MRI file paths in an MEEG object, with directory specification and optional index to modify specific locations; saves the updated object. Commit ed96f2a5748348227dcd52e8b36e23ab066c9bf3. Major bugs fixed: - EEG Simulation Plotting Indexing Fix: Corrected plotting of EEG simulation trials by fixing indexing to display the first trial from trialind correctly instead of a hardcoded 'trial one', improving visualization accuracy. Commit 87e31bd8563a3ca42489f29a9c3550d6ac3b92df. Overall impact and accomplishments: - Improves data integrity and reproducibility for MEEG analyses by enabling reliable path management and object persistence. - Enhances visualization reliability for EEG simulations, reducing user confusion and potential misinterpretation of trial data. - Demonstrates end-to-end feature development and bug resolution within spm/spm, contributing to a more maintainable and trustworthy codebase. Technologies/skills demonstrated: - MATLAB scripting for object manipulation and MEEG data structures. - Robust indexing and data handling in plotting routines. - Version control discipline with focused commits and clear messages.
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for the spm/spm repository focusing on beamforming enhancements and robustness improvements. Delivered a new beamforming pseudoZ output to support source reconstruction priors, fixed display behavior in command-line mode to reduce CLI noise, and corrected multi-source handling by sizing the nAm vector to support multiple sources. The changes improve reconstruction accuracy, CLI usability, and processing robustness, enabling more reliable analyses and smoother workflows in multi-source EEG/inverse processing.
3 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for the spm/spm repository focusing on beamforming enhancements and robustness improvements. Delivered a new beamforming pseudoZ output to support source reconstruction priors, fixed display behavior in command-line mode to reduce CLI noise, and corrected multi-source handling by sizing the nAm vector to support multiple sources. The changes improve reconstruction accuracy, CLI usability, and processing robustness, enabling more reliable analyses and smoother workflows in multi-source EEG/inverse processing.
July 2025
February 2025
10 Commits • 4 Features
Feb 1, 2025February 2025 monthly summary for spm/spm: Delivered major enhancements across EEG/MEG pipeline including SHP integration, improved mesh handling, robust EEG simulation/inverse workflow, and expanded testing/validation. Key outcomes include reproducible seed-based sampling across M/EEG pipeline; increased numeric precision and robust distance metrics in mesh computations; added defaults and cross-validation support in EEG simulation with corrected gain-matrix WriteClean logic; and new regression tests for OPM distortion, cortical simulation, and lead-field validation. These changes improve reliability, accuracy, and deployment confidence, enabling safer production rollout and data-driven decisions.
February 2025
10 Commits • 4 Features
Feb 1, 2025February 2025 monthly summary for spm/spm: Delivered major enhancements across EEG/MEG pipeline including SHP integration, improved mesh handling, robust EEG simulation/inverse workflow, and expanded testing/validation. Key outcomes include reproducible seed-based sampling across M/EEG pipeline; increased numeric precision and robust distance metrics in mesh computations; added defaults and cross-validation support in EEG simulation with corrected gain-matrix WriteClean logic; and new regression tests for OPM distortion, cortical simulation, and lead-field validation. These changes improve reliability, accuracy, and deployment confidence, enabling safer production rollout and data-driven decisions.
Activity
Loading activity data...
Quality Metrics
Correctness83.4%
Maintainability81.8%
Architecture77.2%
Performance75.4%
AI Usage21.2%
Skills & Technologies
Programming Languages
MATLAB
Technical Skills
3D Mesh ManipulationBug FixBug FixingCode RefactoringConfigurationConfiguration ManagementData AnalysisData OrganizationData Type ConversionData VisualizationEEG AnalysisEEG analysisElectrophysiologyFile Path ManagementMATLAB Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline