Purpose

A living reference hub for papers, datasets, and tools aligned to the technical track.

Technical scope

The atlas is curated for operational use, not just bibliography. Each entry should support one or more concrete tasks in the connectomics workflow and include enough metadata to assess applicability, maturity, and reproducibility.

Scope

• Organize references by workflow stage and evidence type.
• Maintain provenance fields (year, species, modality, scale, access).
• Link every reference family back to at least one track unit.

Planned structure

• Imaging and acquisition references
• Reconstruction and segmentation references
• Analysis and NeuroAI references
• Dataset and benchmark references

Visual context set

Attribution: module14 lesson3 and neuroAI source decks (historical/context visuals).

Required metadata schema (minimum)

• citation: standardized citation string.
• workflow_stage: acquisition, reconstruction, proofreading, analysis, or cross-cutting.
• species and brain_region.
• modality and effective_resolution.
• dataset_or_code_access: URL plus access constraints.
• maturity: concept, validated prototype, production-validated.
• known_limits: concise statement of technical boundaries.
• mapped_units: links to technical-training unit slugs.

Curation policy

1. Add only resources with clear technical contribution or benchmark value.
2. Mark historical methods as historical when superseded, but keep if pedagogically useful.
3. Prefer references with reproducible artifacts (data, code, or explicit protocol).
4. Re-review entries on schedule and retire stale links.

Quality-control checks

• Link health check for every external URL.
• Metadata completeness validation against required schema.
• Duplicate detection (same method presented across multiple venues).
• Coverage audit to avoid over-weighting one workflow stage.

Course links

• Return to Technical Training hub

Practical workflow

1. Start from a workflow stage (imaging, reconstruction, proofreading, analysis).
2. Select core references and datasets for that stage.
3. Cross-link chosen references to relevant technical-track units.
4. Record update date and curator for each entry group.

Discussion prompts

• Which references are foundational versus context-only for current learners?
• What deprecation criteria should remove outdated resources from the atlas?

Mini-lab

Curate one new atlas entry and include:

1. Complete metadata schema fields.
2. One sentence on technical contribution.
3. One sentence on limitation or failure context.
4. One linked unit in this technical-training track.

Related resources

• Journal club list: Technical Track Journal Club
• Shared vocabulary: Connectomics Dictionary

Quick activity

Select one reference from each workflow stage and explain in one sentence how each supports a different unit in the track.

Teaching slide deck

• Slide draft page: Atlas Connectomics Reference deck draft

Evidence pack: papers and datasets

This unit is anchored to canonical papers and datasets used in connectomics practice. Use these as required preparation before activities.

Key papers

• White et al. (1986) - The structure of the nervous system of C. elegans
• Denk and Horstmann (2004) - Serial block-face scanning electron microscopy
• Januszewski et al. (2018) - High-precision automated reconstruction with flood-filling networks
• Kasthuri et al. (2015) - Saturated reconstruction of neocortex
• Bassett, Zurn, and Gold (2018) - On the nature and use of models in network neuroscience

Key datasets

• H01 - Human Cortical Fragment
• MICrONS Explorer
• FlyWire
• neuPrint Hemibrain
• MouseConnects (HI-MC)

Competency checks

• Curate an entry with complete metadata and explicit limitations.
• Assign evidence maturity and review cadence for each resource.

Capability development brief

Capability target: Curate a trustworthy connectomics reference atlas with transparent metadata and evidence quality signals.

Required expertise

• Information scientist (taxonomy and metadata schemas)
• Domain editor (method and dataset quality review)
• Reproducibility lead (citation and versioning standards)

Core concepts to teach

• Metadata completeness: Minimum descriptive fields required for responsible reuse.
• Evidence grading: Explicit quality and maturity signals for methods, datasets, and tools.
• Reference maintenance: Scheduled review and change tracking to keep entries current.

Studio activity

Atlas Entry Sprint - Produce publishable reference entries with complete metadata and quality notes.

Curate three resources and grade each for maturity, scope, and limitations.

1. Complete metadata schema for each resource.
2. Write plain-language summaries with explicit limits.
3. Assign quality tier and review schedule.

Expected outputs:

• Three atlas-ready entries
• Editorial review notes

Assessment artifacts

• Atlas entry template and quality checklist.
• Curated starter index with versioned citations.

Related concepts

Reproducibility and Reference Curation

Curate methods, datasets, and tools with metadata completeness and explicit limitations.

Open in Concept Explorer

finding reliable resources maintaining citation hygiene