Step 1
Start with a messy research question
A neuroscience question usually arrives with unclear datasets, fragile assumptions, and many possible analysis paths.
Understand BR
From question to reviewable research workflow
Brain Researcher turns a neuroscience question into an evidence-linked plan, a workflow handoff, and a reportable trail that a researcher can inspect.
Question
Evidence
Handoff
Mental model
Question to evidence to workflow to review
BR connects research intent, evidence, methods, execution surfaces, and human review in one workflow.
Step 2
Organize the question
BR turns the question into a structured intent: what evidence is needed, what data could support it, and what needs review.
Step 3
Connect evidence and resources
The system links papers, datasets, brain concepts, tools, and prior runs so the plan is not just a prompt.
Step 4
Build a reviewable workflow
BR proposes a plan with visible assumptions, candidate methods, expected inputs, and handoff boundaries.
Step 5
Hand it to the right surface
The same work can move through MCP to Cursor, Codex, Claude Code, or a more controlled runtime.
Step 6
Review the result, not just the answer
The researcher checks evidence, report artifacts, assumptions, and failure modes before treating a result as useful.
What BR contains
One research context across multiple surfaces
Each surface has a narrower job. Together they keep the research question, evidence, datasets, workflows, and agents aligned.
Datasets
Find research datasets and inspect readiness before choosing an analysis path.
Workflows
Start from curated analysis workflows instead of rebuilding every plan from scratch.
Knowledge Graph
Use graph-backed concepts, evidence, papers, tasks, datasets, and tools to pressure-test a plan.
MCP
Connect BR to the coding agents and IDEs where research work already happens.
Demos
Inspect concrete case reports and evidence bundles before starting your own workflow.
BR is
- A planning, evidence, and workflow handoff layer for neuroscience research.
- A way to keep datasets, methods, reports, and agents connected through one research context.
- A review surface where assumptions and execution boundaries stay visible.
Boundary: BR organizes evidence and workflow handoffs; scientific conclusions still require researcher judgment, appropriate data access, and a supported runtime.
Next step
Move from understanding to inspecting
Start with public case reports, then connect BR to the agent environment where you already work.
For implementation details, inspect the public repository.
Open public repository