Useful agents. Clear boundaries.
Define a browser agent’s authority, action gates, and stop conditions before allowing it into a research workflow.
FIELDNOTES / METHODS / PERSPECTIVES
Neuro Browser Lab.
Ten in-depth guides for curious minds: practical research workflows, clear technical comparisons, and careful reading of neural science.
Pick a question and take a closer look. Each article connects a specific task to supporting evidence, useful review questions, and related topics across NeuroBrowser.com. The collection is for learning and planning, not a live software or clinical service.
All Lab articles
Browse the collection, newest publication date first.
Read the permissions before the promise.
Review extension access, page context, remote processing, updates, and removal using a contained, non-sensitive test.
Signals, systems, and the person in control.
Understand BCI research through its measurement, decoding, feedback, and user-control loop—not a promise of mind reading.
Clear contracts make uncertain results usable.
Specify evidence, uncertainty, validation, errors, and versioning in an interface contract that can be reviewed on paper.
Local or frontier? Start with the task.
A task-based framework for comparing model quality, device constraints, data boundaries, and review effort.
Good data keeps its context.
Use a structured review process to understand acquisition details, participant boundaries, derivatives, and dataset handoffs.
Better labels begin with better questions.
Build a label handbook, preserve supporting evidence, and route ambiguous outputs to a reviewable decision process.
A brain scan is not the whole story.
A non-diagnostic guide to reading brain-imaging information, preserving uncertainty, and preparing questions for clinicians.
Look beyond the image label.
Plan the collection, transformations, evaluation groups, and review process behind a meaningful visual classification.
Research that stays traceable
Turn scattered tabs and AI summaries into a reading process another person can inspect, question, and continue.
Follow a question, not just a category.
Use these connected reading paths to explore source literacy, evaluation, data quality, and the decisions around a research workflow.