Julien Lecoq developed and maintained the openscope-community-predictive-processing repository, delivering robust experimental workflows and data pipelines for neuroscience research. He engineered Bonsai-based experiment launchers, automated configuration management, and integrated hardware control, focusing on reproducibility and data integrity. Using Python and JavaScript, Julien implemented CSV generation, session management, and visualization tools, while refining stimulus presentation and logging systems to support complex behavioral protocols. His work included extensive bug fixing, documentation, and UI improvements, enabling reliable multi-day experiments and streamlined onboarding. The depth of his contributions is reflected in the breadth of features, rigorous testing, and cross-environment compatibility achieved throughout the project.
January 2026 monthly summary: Delivered foundational enhancements to experimental session design in the openscope-community-predictive-processing project, focusing on long-zebra variants and sensorimotor configurations, to enable richer CSV generation and improved experimental reproducibility. Consolidated new session types for long zebra versions and long training sequences, and added a dedicated sensorimotor_no_oddball_long_zebra session configuration. These changes improve experimental design flexibility, data collection workflows, and downstream analysis readiness for predictive processing research.
January 2026 monthly summary: Delivered foundational enhancements to experimental session design in the openscope-community-predictive-processing project, focusing on long-zebra variants and sensorimotor configurations, to enable richer CSV generation and improved experimental reproducibility. Consolidated new session types for long zebra versions and long training sequences, and added a dedicated sensorimotor_no_oddball_long_zebra session configuration. These changes improve experimental design flexibility, data collection workflows, and downstream analysis readiness for predictive processing research.
November 2025 monthly summary for AllenNeuralDynamics/openscope-community-predictive-processing: delivered robust workflow enhancements, visualization improvements, and hardware integration features, driving reliability, cross-environment compatibility, and actionable data insights. Focus areas included expanding the SLAP2 regimen, enhancing data visualization, adding a camera view, and tightening hardware and data handling; plus cross-environment compatibility and optional hardware input to broaden usage scenarios. Business impact includes reduced setup time, improved data fidelity, easier collaboration, and scalable experimentation.
November 2025 monthly summary for AllenNeuralDynamics/openscope-community-predictive-processing: delivered robust workflow enhancements, visualization improvements, and hardware integration features, driving reliability, cross-environment compatibility, and actionable data insights. Focus areas included expanding the SLAP2 regimen, enhancing data visualization, adding a camera view, and tightening hardware and data handling; plus cross-environment compatibility and optional hardware input to broaden usage scenarios. Business impact includes reduced setup time, improved data fidelity, easier collaboration, and scalable experimentation.
October 2025 monthly summary for AllenNeuralDynamics/openscope-community-predictive-processing. Delivered a robust feature and bug-fix wave that improves data integrity, experiment throughput, and storage efficiency. Key outcomes include v2 generic_oddball for movies, long training session capability, trippy movies, and movie encoding compression, plus extensive stability hardening across data tables, timing, and UI. Commits spanning these outcomes include 9f4d70abe948940c1c8f7ad76a41eb33181fc962 (Push v2 of generic_oddball for movies), 7a8995cdd34f4f8c499dc680aa4dba109277e324 (Add long training session), 74e7cb0819ab4a4ac229f08de7f01679e7571063 (add trippy movies), 7ed91e42ff33d6fed836a55b0f3c50d5202c6a70 (Add compressed version of movie), 0a54be24c89d555f896d180351ec8b2d62315357 (Add test script), ebdf270b54e1a0f63f99ba7c91b94ba8dfc2d95d (Create SLAP2 generic).
October 2025 monthly summary for AllenNeuralDynamics/openscope-community-predictive-processing. Delivered a robust feature and bug-fix wave that improves data integrity, experiment throughput, and storage efficiency. Key outcomes include v2 generic_oddball for movies, long training session capability, trippy movies, and movie encoding compression, plus extensive stability hardening across data tables, timing, and UI. Commits spanning these outcomes include 9f4d70abe948940c1c8f7ad76a41eb33181fc962 (Push v2 of generic_oddball for movies), 7a8995cdd34f4f8c499dc680aa4dba109277e324 (Add long training session), 74e7cb0819ab4a4ac229f08de7f01679e7571063 (add trippy movies), 7ed91e42ff33d6fed836a55b0f3c50d5202c6a70 (Add compressed version of movie), 0a54be24c89d555f896d180351ec8b2d62315357 (Add test script), ebdf270b54e1a0f63f99ba7c91b94ba8dfc2d95d (Create SLAP2 generic).
September 2025 focused on stabilizing stimulus presentation and modernizing the stimulus workflow in the OpenScope community predictive processing project. Key work included timing fixes for the stimulus control system, visual stability improvements with VSync and configuration cleanup, and the rollout of Stimulus workflow version 2 (oddball) with a new parameter CSV and a robust Bonsai-driven logging and control setup. These changes improve presentation accuracy, reduce configuration errors, and enable more reliable, repeatable experiments, accelerating research throughput and decision-making.
September 2025 focused on stabilizing stimulus presentation and modernizing the stimulus workflow in the OpenScope community predictive processing project. Key work included timing fixes for the stimulus control system, visual stability improvements with VSync and configuration cleanup, and the rollout of Stimulus workflow version 2 (oddball) with a new parameter CSV and a robust Bonsai-driven logging and control setup. These changes improve presentation accuracy, reduce configuration errors, and enable more reliable, repeatable experiments, accelerating research throughput and decision-making.
August 2025 monthly summary for AllenNeuralDynamics/openscope-community-predictive-processing focused on stabilizing hardware integration, expanding UI automation, and enhancing data visualization and documentation. Delivered core launcher/workflow improvements, a new square control suite for UI automation, and updated hardware coupling with accompanying docs. Implemented performance enhancements for Bonsai rendering, enabled image saving, and updated Bonsai integration to accept full file paths. Fixed numerous reliability and correctness issues to improve system stability across acquisition, control, and visualization components. These efforts reduce risk, accelerate onboarding, and increase value for external users and automation pipelines.
August 2025 monthly summary for AllenNeuralDynamics/openscope-community-predictive-processing focused on stabilizing hardware integration, expanding UI automation, and enhancing data visualization and documentation. Delivered core launcher/workflow improvements, a new square control suite for UI automation, and updated hardware coupling with accompanying docs. Implemented performance enhancements for Bonsai rendering, enabled image saving, and updated Bonsai integration to accept full file paths. Fixed numerous reliability and correctness issues to improve system stability across acquisition, control, and visualization components. These efforts reduce risk, accelerate onboarding, and increase value for external users and automation pipelines.
July 2025 focused on delivering a robust, end-to-end experiment workflow and improving data integrity for the OpenScope community project. The work extended Bonsai-based experiment launcher capabilities, added gamma correction and color balance for stable visual stimuli, fixed critical data logging bugs, and produced comprehensive documentation to enable rapid adoption and reproducibility across teams.
July 2025 focused on delivering a robust, end-to-end experiment workflow and improving data integrity for the OpenScope community project. The work extended Bonsai-based experiment launcher capabilities, added gamma correction and color balance for stable visual stimuli, fixed critical data logging bugs, and produced comprehensive documentation to enable rapid adoption and reproducibility across teams.
June 2025 – OpenScope Community Predictive Processing: Delivered a foundational launcher framework and auto-install workflow, expanded configuration management with Bonsai parameter handling, and strengthened testing and deployment reliability. Key achievements include launching the launcher stack (basic workflow, draft launcher, auto-install), förb document/docs updates, and an emphasis on test quality and maintainability. Major fixes addressed navigation/link stability, API-to-Ftech navigation, and GitHub Pages deployment stability, complemented by UI/UX improvements (website descriptions, block indication, contrast) and SEO enhancements. The month also introduced Version 2, start-stop restoration for SLAP2 with input config, and default path behavior changes, collectively reducing onboarding friction, lowering misconfiguration risk, and accelerating experimentation and deployment cycles.
June 2025 – OpenScope Community Predictive Processing: Delivered a foundational launcher framework and auto-install workflow, expanded configuration management with Bonsai parameter handling, and strengthened testing and deployment reliability. Key achievements include launching the launcher stack (basic workflow, draft launcher, auto-install), förb document/docs updates, and an emphasis on test quality and maintainability. Major fixes addressed navigation/link stability, API-to-Ftech navigation, and GitHub Pages deployment stability, complemented by UI/UX improvements (website descriptions, block indication, contrast) and SEO enhancements. The month also introduced Version 2, start-stop restoration for SLAP2 with input config, and default path behavior changes, collectively reducing onboarding friction, lowering misconfiguration risk, and accelerating experimentation and deployment cycles.
May 2025 monthly performance summary for AllenNeuralDynamics/openscope-community-predictive-processing: key features delivered, major fixes, impact, and skills demonstrated. Focus on research reproducibility, protocol clarity, and collaboration.
May 2025 monthly performance summary for AllenNeuralDynamics/openscope-community-predictive-processing: key features delivered, major fixes, impact, and skills demonstrated. Focus on research reproducibility, protocol clarity, and collaboration.
April 2025 monthly summary for AllenNeuralDynamics/openscope-community-predictive-processing focusing on observability, collaboration, and documentation improvements. Delivered new logging/telemetry with RF integration, a sensory-motor workflow, and tooling for docs and CI, while stabilizing navigation/path handling and improving onboarding for cross-team work.
April 2025 monthly summary for AllenNeuralDynamics/openscope-community-predictive-processing focusing on observability, collaboration, and documentation improvements. Delivered new logging/telemetry with RF integration, a sensory-motor workflow, and tooling for docs and CI, while stabilizing navigation/path handling and improving onboarding for cross-team work.
March 2025 highlights: Delivered end-to-end SLAP hardware integration in AllenNeuralDynamics/openscope-community-predictive-processing, consolidating a Bonsai workflow for SLAP hardware, startup/shutdown handling, external trigger inputs, DO2 synchronization, and robust logging. Implemented initial Bonsai files and workflow refactors to improve input paths and ensure reliable data capture and synchronization. Corrected Orientation/Angle misalignment in visual/spatial processing, and refined the Standard_oddball_slap2 stimulus visuals for consistency. These changes enhanced hardware integration reliability, data integrity, and experiment reproducibility, while expanding automation and debugging capabilities.
March 2025 highlights: Delivered end-to-end SLAP hardware integration in AllenNeuralDynamics/openscope-community-predictive-processing, consolidating a Bonsai workflow for SLAP hardware, startup/shutdown handling, external trigger inputs, DO2 synchronization, and robust logging. Implemented initial Bonsai files and workflow refactors to improve input paths and ensure reliable data capture and synchronization. Corrected Orientation/Angle misalignment in visual/spatial processing, and refined the Standard_oddball_slap2 stimulus visuals for consistency. These changes enhanced hardware integration reliability, data integrity, and experiment reproducibility, while expanding automation and debugging capabilities.
February 2025 performance summary for AllenNeuralDynamics/openscope-community-predictive-processing. Delivered foundational tooling for Bonsai-based workflows and a targeted wheel-only operation mode, enabling faster deployment, clearer monitoring, and scalable encoder-driven processing. Key outcomes include a reusable Bonsai project template with editor configuration, .gitignore, license, dependencies, and a setup script to streamline deployment and environment setup; and a wheel-only workflow configuration enabling EncoderPort2 encoder activation, device parameter setup for active operation, visual indicators, heartbeat, and a dedicated logging path and writer. These efforts improve deployment reproducibility, monitorability, and readiness for downstream predictive-processing features.
February 2025 performance summary for AllenNeuralDynamics/openscope-community-predictive-processing. Delivered foundational tooling for Bonsai-based workflows and a targeted wheel-only operation mode, enabling faster deployment, clearer monitoring, and scalable encoder-driven processing. Key outcomes include a reusable Bonsai project template with editor configuration, .gitignore, license, dependencies, and a setup script to streamline deployment and environment setup; and a wheel-only workflow configuration enabling EncoderPort2 encoder activation, device parameter setup for active operation, visual indicators, heartbeat, and a dedicated logging path and writer. These efforts improve deployment reproducibility, monitorability, and readiness for downstream predictive-processing features.
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