How NeuroTrailblazers Fits BRAIN CONNECTS
A learner-facing map of NIH BRAIN CONNECTS, IC3, APEX, Allen Institute resources, project teams, and NeuroTrailblazers.
How NeuroTrailblazers Fits BRAIN CONNECTS
NeuroTrailblazers is not a third data coordinating center. Its job is different:
IC3 and APEX organize and expose the science. NeuroTrailblazers organizes the learning.
NIH BRAIN / BRAIN CONNECTS
Use NIH and NIH RePORTER for authoritative program goals, awards, funding, and program provenance.
IC3 — Integrative Connectomics Coordination Center
IC3 coordinates cross-CONNECTS integration for electron microscopy, fluorescence microscopy, and barcoded-sequencing pipelines; evaluates scalability; develops cloud tools; and is building the CONNECTS Knowledge Base.
Learner handoff: cellular/synaptic integration, common coordinate frameworks, cell type ↔ connectivity integration, common pipelines, and integrated CONNECTS resources.
APEX — Axonal Projectome EXchange
APEX coordinates macaque/human axonal-projectome efforts across optical microscopy, X-ray imaging, diffusion MRI, standards, harmonization, and benchmarking.
Learner handoff: long-range axonal pathways, projectome-scale connectivity, tractography validation, cross-species comparison, and multiscale imaging.
Allen Institute / AIBS
Allen maintains major scientific datasets, browsers, and educator-facing resources such as the ABC Atlas and MICrONS materials.
NeuroTrailblazers rule: link and scaffold; do not recreate the manual. Pose the scientific question, send the learner to the authentic resource, then assess interpretation and limitations.
HI-MC / MouseConnects and other CONNECTS projects
Projects supply authentic workflows, datasets, methods, software, experts, and contribution opportunities.
HI-MC provides a particularly useful synaptic-resolution learning spine:
sample → image → segment → proofread → integrate → analyze → share
NeuroTrailblazers
NeuroTrailblazers owns the learner journey:
- Sequencing and prerequisites. The learning tracks put the core reference material in an order, name what each track’s “done” means as a capability, and say what to read before what.
- Authentic-resource activities. Getting Started with Data and the dataset pages route learners into the real tools — Codex, neuPrint, Neuroglancer, CAVE — rather than simulations of them.
- Hidden curriculum. The hidden curriculum section writes down the operating knowledge research training assumes — asking for help, authorship, reporting norms — as named, checkable statements.
- Assessment. The session kits carry a rubric per module, and the Facilitator Guide covers assessment designs that scale beyond one instructor.
- Evidence literacy. Unit 01 trains the discipline of saying what the evidence supports, what it supports only with a named assumption, and what to refuse to claim; Reading and judging applies it to the literature.
- Mentoring. The models-in-practice playbook gives mentors the MERIT stages, what the mentee produces in each, and the failure mode each stage exists to prevent.
- Public interpretation. Module 22 and its public-engagement companion train learners to explain connectomics to non-research audiences without overclaiming.
- Career pathways. Career mechanics and the learner personas map how the machinery of applications, funding, and transitions actually works, for concrete kinds of learners.
What not to duplicate
Do not build a competing CONNECTS-KB, APEX projectome platform, ABC Atlas manual, MICrONS viewer, or project documentation better maintained by the originating team.
What NeuroTrailblazers uniquely adds
- Cross-scale conceptual glue: cell atlas → projectome → cellular connectome → synaptic connectome → activity → perturbation.
- Evidence boundaries: program intent ≠ output ≠ scientific result ≠ impact ≠ interpretation.
- Authentic use: use real scientific resources whenever feasible.
- People development: help learners become capable of participating in CONNECTS-style science.