flyeye-escape-neuron-v1

A compact, reproducible neuron-level Drosophila escape-circuit graph derived from the pinned MaleCNS source used by FlyEye.

Dataset summary

The compact graph contains:

• 126 LC4 / looming seed neurons;
• 26 selected direct escape descending-neuron targets;
• directed LC4-to-output pathways within a maximum 3-hop corridor;
• all signed internal edges between retained neurons;
• original source indices;
• MaleCNS body IDs;
• source and derived graph hashes;
• deterministic extraction metadata.

Files

• graph.bin — FLYGRAPH v1 binary
• manifest.json — IDs, groups, provenance and scientific boundary
• report.json — extraction/compression report
• escape-fast-v1.json — lightweight aggregate profile
• CITATION.cff
• DATA_LICENSE.md

FLYGRAPH v1 binary format

8 bytes   magic "FLYGRAPH"
u32 LE    version
u32 LE    neuronCount
u32 LE    edgeCount
u32[n+1]  rowOffsets
u32[e]    presynapticIndices
f64[e]    signed weights

Rows are postsynaptic neurons.

Scientific boundary

The retained neuron-level edges are real signed edges selected from the pinned MaleCNS-derived graph. The pathway selection itself is task-specific.

This dataset does not claim that FlyEye's camera encoding, thresholds, aggregate runtime dynamics, or behavioral readouts are measured biological physiology. Those components are modeled unless separately validated.

Licensing and attribution

MaleCNS-derived graph assets retain the upstream CC BY 4.0 attribution recorded in the manifest.

Source attribution:

Janelia FlyEM MaleCNS — https://male-cns.janelia.org/download/

FlyEye software and extraction tooling are licensed separately under MIT.

Reproducibility

The source repository pins the upstream graph source and contains the graph builder, CI workflow, graph integrity tests, JavaScript/TypeScript loaders and a Python SDK.

Source:

https://github.com/tubban1/fly-eye

Citation

If you use this dataset or the FlyEye Developer Kit in research, cite the archived software release:

FlyEye Contributors (2026). FlyEye Developer Kit: reusable Drosophila connectome graphs and runtime tooling (v0.5.0-alpha.9). Zenodo. https://doi.org/10.5281/zenodo.22829797

@software{flyeye_developer_kit_2026,
  author  = {{FlyEye Contributors}},
  title   = {FlyEye Developer Kit: reusable Drosophila connectome graphs and runtime tooling},
  year    = {2026},
  version = {0.5.0-alpha.9},
  doi     = {10.5281/zenodo.22829797},
  url     = {https://doi.org/10.5281/zenodo.22829797}
}

Related resources:

• Live demo: https://fly.fde.fan
• Source: https://github.com/tubban1/fly-eye
• GitHub release: https://github.com/tubban1/fly-eye/releases/tag/v0.5.0-alpha.9
• Zenodo archive: https://doi.org/10.5281/zenodo.22829797