Connectivity

The neuroscience training that exists elsewhere, what each one covers that this site does not, and the funding routes that pay for getting there.

Nobody should learn connectomics only from one site. This page is the map of what else is out there: 12 programmes, platforms and funding routes, each with a plain statement of what it covers that NeuroTrailblazers does not.

Where this page stops. Three neighbouring pages already cover ground that is easy to confuse with this one, and none of them is duplicated here:

This page is only about training you can go and do, and what funds it.

How to choose between these

The honest ranking depends on what you have already finished here.

If you have… Go to
Finished the fly material and want more of it FlyWire Academy — same data, more practice
Finished the technical units and want modelling depth Neuromatch Academy
Finished the units and want bench or circuit-physiology skill CAJAL, MBL or CSHL
To teach this material to undergraduates The Allen Institute educators’ workshop, then compare with the session kits
No budget and no application window INCF TrainingSpace and SfN Neuronline
A plan but no money The funding section below

Training built on connectome data

The closest neighbours to this site: programmes that teach with the same datasets NeuroTrailblazers teaches with. If you want more practice on MICrONS or FlyWire specifically, start here rather than with a general neuroscience course.

FlyWire Academy

Princeton UniversityAlways open

Three worksheets for high school and three for college, 20-30 and 30-45 minutes respectively, walking students through the whole-brain fly connectome in Codex. The Python analysis exercises were still in development at the college level when this entry was checked.

Who it is for: Advanced high school (AP/IB) and introductory undergraduate
Format: Self-paced videos, interactive "dry lab" worksheets, Python exercises
Cost: Free; Codex needs a Google account

Next to this site: Goes deeper on one organism than this site does. NeuroTrailblazers covers fly alongside mouse and human and spends its time on why the comparison holds.

Checked 15 September 2026

Incorporating Open Connectomics Data into Teaching Neuroscience

Allen InstituteRun in summer; check the events page for the next round

Participants learn to navigate the MICrONS mouse visual cortex volume and leave with the laboratory modules, lesson plans and assessment tools to run dry labs in their own classes.

Who it is for: Undergraduate neuroscience educators
Format: Two-day in-person workshop at the Allen Institute; no coding experience required
Cost: No fee; domestic travel funds available

Next to this site: The single most direct peer to this site's teaching layer, and it is for instructors rather than learners. If you run a course, go to this and bring the session kits from here to compare.

Checked 15 September 2026

Allen Institute science education and open-data workshops

Allen InstituteYear-round programme

The broader education programme the connectomics teaching workshop sits inside, including Python workshops on Allen open datasets and the Summer Workshop on the Dynamic Brain.

Who it is for: Educators, undergraduates, the public
Format: Workshops, teaching resources, field trips, public events
Cost: Varies by event

Next to this site: Allen maintains the datasets and the manuals for them. This site's standing rule is link and scaffold, not recreate.

Checked 15 September 2026

Intensive schools and summer courses

Residential or cohort-based courses in computational and experimental neuroscience. These are where a learner who has finished the technical units goes for bench or modelling depth this site cannot give online.

Neuromatch Academy

NeuromatchAnnual, July; applications close in the spring

Separate courses in Computational Neuroscience, NeuroAI, Deep Learning and Climate Science. Pods are matched by time zone, research interest and where possible language. Course content is public on GitHub.

Who it is for: Students and researchers entering neuroscience, ML and modelling
Format: Intensive live online course in small "pods" with a teaching assistant and a mentored group project
Cost: Tuition adjusted to local cost of living; waivers available at enrollment

Next to this site: Teaches modelling and analysis method. It does not teach where the connectivity data comes from or how to judge a reconstruction, which is what technical units 03-08 here are for.

Checked 15 September 2026

CAJAL Advanced Neuroscience Training Programme

FENS, Bordeaux Neurocampus and Champalimaud FoundationAnnual programme of courses

Established 2015. Courses span neural circuit methods - optical, electrophysiological, viral tracing, anatomical, optogenetic - plus computational neuroscience, at Bordeaux and at the Champalimaud Centre in Lisbon.

Who it is for: PhD students and postdocs
Format: Three-week project-based residential courses; lectures plus hands-on experimental sessions
Cost: Fees apply; check each course

Next to this site: Wet-lab and circuit-physiology depth. Complementary to, not overlapping with, the volume EM pipeline this site teaches.

Checked 15 September 2026

Neurobiology: Mechanisms and Advanced Approaches

Marine Biological Laboratory, Woods HoleAnnual, early June to mid-July

Cellular and molecular mechanisms of nervous system function in health and neurological disorders, taught at the level of current method rather than settled textbook material.

Who it is for: Graduate students, postdocs and faculty
Format: Six-week immersive research course; participants and faculty run original research within the course
Cost: Fees apply; financial aid is part of the MBL course model

Next to this site: Mechanism at the cell and molecule scale. This site starts one level up, at the wiring diagram.

Checked 15 September 2026

CSHL neuroscience courses

Cold Spring Harbor LaboratoryAnnual course calendar

Relevant offerings include Imaging Structure and Function in the Nervous System, Drosophila Neurobiology (genes, circuits and behaviour), and Computational Neuroscience: Vision. Courses run all day including evenings and weekends, with students resident on campus.

Who it is for: Neuroscientists at all levels
Format: Intensive residential lecture-and-laboratory courses, typically two to three weeks
Cost: Fees apply

Next to this site: Imaging and model-organism technique. The Drosophila course is the natural next step after the fly material here.

Checked 15 September 2026

Open platforms and professional development

Free or low-cost material you can work through without an application, and the professional-skills training the societies run.

INCF TrainingSpace

International Neuroinformatics Coordinating FacilityAlways open

Courses and lessons across general, clinical and computational neuroscience, neuroinformatics and computer science. Each entry lists prerequisites and the software it needs. Part of the wider INCF Training Suite, whose remit is making training materials FAIR.

Who it is for: Anyone
Format: Aggregated online course catalogue - videos, lectures, hands-on tutorials
Cost: Free

Next to this site: An index of other people's courses rather than a curriculum. This site is the opposite: one sequence with a stated order and stated prerequisites.

Checked 15 September 2026

SfN Neuronline

Society for NeuroscienceYear-round

Skills material on science communication, collaboration, lab management, grants, mentoring and networking. SfN has nearly 35,000 members across more than 95 countries.

Who it is for: Neuroscientists at every career stage
Format: Articles, webinars, virtual conferences, discussion forums, Scientific Short Courses
Cost: Unlimited for SfN members; five resources per month for everyone else

Next to this site: Closest overlap is with this site's hidden curriculum, which writes the same operating knowledge down as named, checkable statements rather than advice pieces.

Checked 15 September 2026

Routes that pay for the next step

Training is only reachable if something funds it. These are the standing NIH mechanisms most relevant to someone moving into connectomics. Specific funding opportunity announcements open and expire on their own schedule - always confirm a mechanism is currently active before building a plan on it.

BRAIN Initiative Training Program

NIH BRAIN InitiativeStanding programme; individual announcements vary

The entry point for BRAIN Initiative training mechanisms. Start here rather than with an individual announcement, which may have expired.

Who it is for: Predoctoral through early-career faculty
Format: Portfolio hub for BRAIN-specific training and career-development awards
Cost: n/a - this is funding

Next to this site: NeuroTrailblazers is developed inside a BRAIN CONNECTS project (HI-MC, UM1NS132250). See how we fit BRAIN CONNECTS for that relationship.

Checked 15 September 2026

NINDS R25 - Neuroscience Development for a Diverse Research Workforce

NINDSStanding mechanism

Targets retention rather than recruitment: mentoring, scientific networks, professional development, and the institutional environment around inclusion.

Who it is for: Postbaccalaureate, graduate, postdoctoral and junior faculty researchers
Format: Institutional research education award
Cost: n/a - this is funding

Next to this site: Funds programmes, not individuals directly. If you are a learner, the question to ask your institution is whether it holds one.

Checked 15 September 2026

BRAIN Advanced Postdoctoral Career Transition Award (K99/R00)

NIH BRAIN InitiativeReissued periodically; confirm the current announcement

The standard route from a connectomics postdoc to a tenure-track position while staying in BRAIN research areas.

Who it is for: Postdocs in BRAIN Initiative research areas moving to independence
Format: Mentored-to-independent career transition award
Cost: n/a - this is funding

Next to this site: Career mechanics - what these applications actually require - are covered in this site's hidden curriculum.

Checked 15 September 2026

What this page does not cover

Suggest an addition

If you run relevant training, or know of something that belongs here, open an issue on the repository or email wgr@jhu.edu. Include a link to the provider’s own page describing it — that is what gets checked before anything is added.