Glickfeld-And-Hull-Laboratories/ImagingCode-Glickfeld-Hull
Nov 2024 – Feb 2026
13 Months active
Languages Used
MATLAB
Technical Skills
Data AnalysisExperimental DesignImage ProcessingMATLAB ScriptingNeuroscienceScientific Computing
LindseyG
PROFILE
Lindseyg
Lauren Glickfeld developed and maintained advanced data analysis and modeling pipelines for the ImagingCode-Glickfeld-Hull repository, focusing on neuroscience imaging and behavioral experiments. She engineered robust MATLAB workflows for two-photon and widefield imaging, integrating statistical analysis, image registration, and behavioral data synchronization to improve data integrity and reproducibility. Her work included building modular analysis frameworks, implementing computational models for neural response simulation, and enhancing visualization tools for cross-session and cross-group comparisons. By addressing data synchronization bugs and expanding support for new experimental paradigms, Lauren ensured reliable, scalable pipelines. Her technical depth spanned MATLAB programming, scientific computing, and statistical modeling.
Overall Statistics
Feature vs Bugs
84%Features
Repository Contributions
38Total
Bugs
5
Commits
38
Features
26
Lines of code
26,445
Activity Months13
Your Network
10 people
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026: Delivered a Cross-orientation Analysis Framework for cross-orientation random direction experiments, enabling data loading, processing, and visualization of neuronal responses to multiple stimuli. The work establishes an end-to-end, modular pipeline with strong traceability and reproducibility.
1 Commits • 1 Features
Feb 1, 2026February 2026: Delivered a Cross-orientation Analysis Framework for cross-orientation random direction experiments, enabling data loading, processing, and visualization of neuronal responses to multiple stimuli. The work establishes an end-to-end, modular pipeline with strong traceability and reproducibility.
February 2026
January 2026
2 Commits • 2 Features
Jan 1, 2026January 2026: Delivered two core features in ImagingCode-Glickfeld-Hull, enhancing data analysis robustness and updating user guidance. No major bugs fixed this month. Impact: safer cross-day comparisons, expanded measurement modalities, and improved onboarding through updated tutorials. Skills demonstrated: data analysis and visualization, statistical methods, and clear documentation.
January 2026
2 Commits • 2 Features
Jan 1, 2026January 2026: Delivered two core features in ImagingCode-Glickfeld-Hull, enhancing data analysis robustness and updating user guidance. No major bugs fixed this month. Impact: safer cross-day comparisons, expanded measurement modalities, and improved onboarding through updated tutorials. Skills demonstrated: data analysis and visualization, statistical methods, and clear documentation.
December 2025
3 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for the ImagingCode-Glickfeld-Hull project. Focused on delivering two high-value data-analysis features, improving measurement reliability, and enabling cross-group comparisons in Arc imaging analyses. No major bugs fixed this month; maintenance updates were applied to improve code quality and reproducibility.
3 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for the ImagingCode-Glickfeld-Hull project. Focused on delivering two high-value data-analysis features, improving measurement reliability, and enabling cross-group comparisons in Arc imaging analyses. No major bugs fixed this month; maintenance updates were applied to improve code quality and reproducibility.
December 2025
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for the ImagingCode-Glickfeld-Hull repository. The team delivered targeted enhancements to the imaging data pipeline and analysis workflow, enabling more reliable data collection, faster validation, and richer insights into visual stimuli responses.
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for the ImagingCode-Glickfeld-Hull repository. The team delivered targeted enhancements to the imaging data pipeline and analysis workflow, enabling more reliable data collection, faster validation, and richer insights into visual stimuli responses.
August 2025
3 Commits • 2 Features
Aug 1, 2025Month 2025-08: Delivered substantive enhancements to ImagingCode-Glickfeld-Hull, expanding data capabilities, introducing advanced modeling, and hardening robustness across experimental paradigms. These efforts improved data integrity, accelerated analysis cycles, and provided richer plots for interpretation and decision-making.
3 Commits • 2 Features
Aug 1, 2025Month 2025-08: Delivered substantive enhancements to ImagingCode-Glickfeld-Hull, expanding data capabilities, introducing advanced modeling, and hardening robustness across experimental paradigms. These efforts improved data integrity, accelerated analysis cycles, and provided richer plots for interpretation and decision-making.
August 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for the ImagingCode-Glickfeld-Hull repository in Glickfeld-And-Hull-Laboratories. Focused on delivering and scaling the DART Behavior Experiment data/configs and analysis workflow, with enhancements to data processing scripts and visualization capabilities. Laid groundwork for robust 2P analysis and reproducible pipelines.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for the ImagingCode-Glickfeld-Hull repository in Glickfeld-And-Hull-Laboratories. Focused on delivering and scaling the DART Behavior Experiment data/configs and analysis workflow, with enhancements to data processing scripts and visualization capabilities. Laid groundwork for robust 2P analysis and reproducible pipelines.
June 2025
4 Commits • 4 Features
Jun 1, 2025June 2025 performance summary for Glickfeld-And-Hull-Laboratories/ImagingCode-Glickfeld-Hull: Delivered a suite of MATLAB-based data-analysis tools and a computational model to improve data integrity, cross-session alignment, and reproducibility. Key features delivered include a plaid response shuffle utility for permutation testing, a frame counting discrepancy analysis and correction toolkit to ensure precise timing alignment with photodiode data, an optogenetics data analysis suite for aligning neural activity and licking with cue/lick onsets across sessions and animals (with cross-phase comparisons), and a Priebe model implementing orientation selectivity and visual-stimuli simulation with grating/plaid inputs. These additions were integrated into MATLAB pipelines with careful Git workflow (auto stash before merges) to maintain stability and reproducibility.
4 Commits • 4 Features
Jun 1, 2025June 2025 performance summary for Glickfeld-And-Hull-Laboratories/ImagingCode-Glickfeld-Hull: Delivered a suite of MATLAB-based data-analysis tools and a computational model to improve data integrity, cross-session alignment, and reproducibility. Key features delivered include a plaid response shuffle utility for permutation testing, a frame counting discrepancy analysis and correction toolkit to ensure precise timing alignment with photodiode data, an optogenetics data analysis suite for aligning neural activity and licking with cue/lick onsets across sessions and animals (with cross-phase comparisons), and a Priebe model implementing orientation selectivity and visual-stimuli simulation with grating/plaid inputs. These additions were integrated into MATLAB pipelines with careful Git workflow (auto stash before merges) to maintain stability and reproducibility.
June 2025
April 2025
6 Commits • 4 Features
Apr 1, 2025April 2025 monthly summary for the ImagingCode-Glickfeld-Hull project focused on delivering robust data analysis and visualization capabilities across imaging and electrophysiology workflows. Implemented texture synthesis, enhanced 2P imaging analysis, added statistical utilities, and extended SST neuron data processing to improve experimentation efficiency, data quality, and scientific communication.
April 2025
6 Commits • 4 Features
Apr 1, 2025April 2025 monthly summary for the ImagingCode-Glickfeld-Hull project focused on delivering robust data analysis and visualization capabilities across imaging and electrophysiology workflows. Implemented texture synthesis, enhanced 2P imaging analysis, added statistical utilities, and extended SST neuron data processing to improve experimentation efficiency, data quality, and scientific communication.
March 2025
1 Commits
Mar 1, 2025For 2025-03, this work focused on strengthening data accuracy and reliability in the ImagingCode-Glickfeld-Hull pipeline. The major accomplishment was a critical bug fix that achieves precise synchronization of stimulus onset times by refactoring the counter value correction function to compute the offset between photodiode onset and counter onset, applying this offset to correct counter values and stimulus onset times. This change, tracked in commit df3efa6e5a11d8549190967b5f6af6fb7179aeed ("2p counter correction - LG"), reduces onset drift and improves downstream data analysis. No new features were added this month; however, the reliability improvements directly enhance experimental reproducibility and data quality across sessions and experiments.
1 Commits
Mar 1, 2025For 2025-03, this work focused on strengthening data accuracy and reliability in the ImagingCode-Glickfeld-Hull pipeline. The major accomplishment was a critical bug fix that achieves precise synchronization of stimulus onset times by refactoring the counter value correction function to compute the offset between photodiode onset and counter onset, applying this offset to correct counter values and stimulus onset times. This change, tracked in commit df3efa6e5a11d8549190967b5f6af6fb7179aeed ("2p counter correction - LG"), reduces onset drift and improves downstream data analysis. No new features were added this month; however, the reliability improvements directly enhance experimental reproducibility and data quality across sessions and experiments.
March 2025
February 2025
5 Commits • 3 Features
Feb 1, 2025February 2025 Monthly Summary for the ImagingCode-Glickfeld-Hull repository. Delivered a mix of bug fixes, interactive features, and data-management improvements that directly enhance data quality, reproducibility, and analysis throughput for widefield and in-vitro electrophysiology studies.
February 2025
5 Commits • 3 Features
Feb 1, 2025February 2025 Monthly Summary for the ImagingCode-Glickfeld-Hull repository. Delivered a mix of bug fixes, interactive features, and data-management improvements that directly enhance data quality, reproducibility, and analysis throughput for widefield and in-vitro electrophysiology studies.
January 2025
5 Commits • 3 Features
Jan 1, 2025January 2025 (Month: 2025-01) – Delivered core data-processing enhancements and a critical bug fix that together improve data reliability, cross-modality analyses, and reproducibility for visually evoked experiments. Focused on stabilizing imaging data workflows and aligning analyses with behavioral metrics to drive robust scientific conclusions and reusable pipelines.
5 Commits • 3 Features
Jan 1, 2025January 2025 (Month: 2025-01) – Delivered core data-processing enhancements and a critical bug fix that together improve data reliability, cross-modality analyses, and reproducibility for visually evoked experiments. Focused on stabilizing imaging data workflows and aligning analyses with behavioral metrics to drive robust scientific conclusions and reusable pipelines.
January 2025
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024: Delivered neural adaptation data expansion and analysis enhancements for the ImagingCode project under Glickfeld-And-Hull-Laboratories/ImagingCode-Glickfeld-Hull. Expanded the adaptation experiment dataset to include mouse i2585 and broadened analysis scripts for natural image and grating stimuli, including detailed plotting and statistical comparisons of neural responses and adaptation indices to enable deeper mechanistic insights. Performed repository cleanup by removing macOS .DS_Store files to improve version control hygiene and collaboration. These changes enhance data reproducibility, accelerate downstream analyses, and strengthen code quality for robust, reproducible neuroscience research.
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024: Delivered neural adaptation data expansion and analysis enhancements for the ImagingCode project under Glickfeld-And-Hull-Laboratories/ImagingCode-Glickfeld-Hull. Expanded the adaptation experiment dataset to include mouse i2585 and broadened analysis scripts for natural image and grating stimuli, including detailed plotting and statistical comparisons of neural responses and adaptation indices to enable deeper mechanistic insights. Performed repository cleanup by removing macOS .DS_Store files to improve version control hygiene and collaboration. These changes enhance data reproducibility, accelerate downstream analyses, and strengthen code quality for robust, reproducible neuroscience research.
November 2024
3 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for ImagingCode-Glickfeld-Hull: Delivered two major capabilities in the imaging analysis suite. (1) Experiment configuration updates for new protocols: added adaptation stimulus list configurations for four experimental runs and updated multi-wavelength analysis parameters to align with the new setup; commits fc4538d989f6e5d4c557d17ad35933f733034bb5 and fb377ea6e72d4e22b43dfc5968624f75aa610ef0. (2) White-noise analysis script for two-photon imaging: end-to-end pipeline including data loading, registration, cell segmentation, neuropil subtraction, and visualization of neuronal responses; commit d699f6d86d1a314a34e2074db8abc2c6374642b4. No major bugs fixed this month. Impact: Enables organized execution of new protocols, robust noise-aware analysis, and scalable data processing, contributing to faster experiments, higher reproducibility, and better data quality. Technologies/skills demonstrated: Python-based data analysis, image processing, protocol configuration, version control, end-to-end pipeline development.
3 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for ImagingCode-Glickfeld-Hull: Delivered two major capabilities in the imaging analysis suite. (1) Experiment configuration updates for new protocols: added adaptation stimulus list configurations for four experimental runs and updated multi-wavelength analysis parameters to align with the new setup; commits fc4538d989f6e5d4c557d17ad35933f733034bb5 and fb377ea6e72d4e22b43dfc5968624f75aa610ef0. (2) White-noise analysis script for two-photon imaging: end-to-end pipeline including data loading, registration, cell segmentation, neuropil subtraction, and visualization of neuronal responses; commit d699f6d86d1a314a34e2074db8abc2c6374642b4. No major bugs fixed this month. Impact: Enables organized execution of new protocols, robust noise-aware analysis, and scalable data processing, contributing to faster experiments, higher reproducibility, and better data quality. Technologies/skills demonstrated: Python-based data analysis, image processing, protocol configuration, version control, end-to-end pipeline development.
November 2024
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Quality Metrics
Correctness83.4%
Maintainability82.2%
Architecture80.2%
Performance75.2%
AI Usage21.6%
Skills & Technologies
Programming Languages
MATLAB
Technical Skills
2P Imaging AnalysisAlgorithm DevelopmentBehavioral AnalysisBehavioral ExperimentsColor Map GenerationComputational NeuroscienceComputer VisionData AnalysisData ManipulationData ProcessingData VisualizationElectrophysiologyExperimental DesignImage ProcessingImage Registration
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