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Add automated yearly repo progress report#4

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Add automated yearly repo progress report#4
CommanderPho wants to merge 2 commits into
masterfrom
jules-7715600118527364995-e24d8c93

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@CommanderPho

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Analyzed the past 1 year of commits for both this repo and pyPhoPlaceCellAnalysis, extracting and synthesizing scientific motivations, ideas, problems solved, analyses tried, and things ruled out into a markdown table.


PR created automatically by Jules for task 7715600118527364995 started by @CommanderPho

Co-authored-by: CommanderPho <962210+CommanderPho@users.noreply.github.com>
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👋 Jules, reporting for duty! I'm here to lend a hand with this pull request.

When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down.

I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job!

For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with @jules. You can find this option in the Pull Request section of your global Jules UI settings. You can always switch back!

New to Jules? Learn more at jules.google/docs.


For security, I will only act on instructions from the user who triggered this task.

@CommanderPho

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Date Category Description
2025-06-27 Idea Conceptualized and implemented novel spatial representations for bidirectional track remapping, allowing for robust cross-epoch comparison of neural activity between distinct long and short track environments.
2025-06-30 Scientific Motivation Transitioned analytical pipelines to continuous 2D position decoding by default. This change was motivated by the hypothesis that continuous tracking provides a holistic view of place field firing dynamics across multiple interconnected task epochs without artificial segmentation.
2025-07-15 Analysis Tried Evaluated the efficacy of recursive latent place field decoding during fragmented lap traversals. The goal was to determine if latent neural population structures, decoupled from explicit spatial cues, provide higher-fidelity positional estimates.
2025-07-29 Analysis Tried Developed comparative scatter analyses contrasting pre-task and post-task neural metrics. Specifically isolated lap duration periods from sharp-wave ripple events to understand state-dependent neural memory consolidation.
2025-07-31 Ruled Out Abandoned the methodology of reusing active-cell-only computational pipelines for place field tracking. Determined that robust trial-by-trial completion functions require baseline metrics from all recorded neurons to avoid artificially inflated sparsity in decoding.
2025-08-01 Problem Solved Corrected a critical theoretical flaw in aggregated firing rate distributions where purely directional place cells were erroneously penalized in rate calculations. Implemented distinct left-to-right (LR) and right-to-left (RL) context segmentations to accurately measure directional spatial tuning.
2025-08-07 Idea Established granular physiological categorizations separating pre- and post-task periods into Theta/Delta and Replay/Delta oscillatory clusters (e.g., ThetaDeltaMinus, ReplayDeltaPlus). This framework was designed to investigate specific neurophysiological correlates with spatial memory consolidation.
2025-08-19 Analysis Tried Investigated place field stable formation thresholds. Measured the temporal distributions required for initial place field establishment across multiple maze epochs to mathematically define and quantify neural stability criteria.
2025-08-21 Analysis Tried Quantified trial-by-trial reliability by explicitly charting differences between theoretically measured spatial occupancy and algorithmic decoded occupancy distributions over extended temporal windows.
2025-08-26 Problem Solved Solidified lap-based pseudo-2D decoding ground-truth validations. Refactored the core computational logic to ensure continuous positional tracking performance is strictly baselined against known, physical animal trajectory intervals.
2025-09-10 Idea Modularized 2D contextual decoders. Abstracted global epoch temporal boundaries from localized visual tracking bounds, allowing decoders to dynamically handle multiple distinct spatial contexts simultaneously.
2025-09-19 Analysis Tried Executed comprehensive multi-maze remapping evaluations (comparing consecutive Pre, Maze1, Post1, Maze2, Post2 periods) to empirically assess changes in population firing vectors under controlled, consecutive spatial memory tasks.
2025-09-21 Problem Solved Fixed critical issues surrounding the parsing and serialization of Population Burst Event (PBE) and ripple decoders, ensuring full reconstruction of historical decoding contexts across independent analysis sessions.

Co-authored-by: CommanderPho <962210+CommanderPho@users.noreply.github.com>
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