Source data
Connectome
The anatomical basis of openflymind is the FlyEM Male CNS Connectome, version male-cns:v1.0, released under the CC BY 4.0 licence by FlyEM / HHMI Janelia Research Campus, University of Cambridge, MRC Laboratory of Molecular Biology, and Google Research. The team uses this public resource and takes no credit for the original reconstruction.
Use of public data does not imply institutional collaboration.
Visualisation
Connectome explorer
Select a region in the list or in the figure to see what the data show and what is the team's proposed interpretation.
Conceptual illustrationDoes not depict real MaleCNS neurons, coordinates or connections.
Regions
Published resource
Resource figures
The figures below describe the resource published by FlyEM and collaborators, each with its source. They do not describe what openflymind has imported, run or integrated with hardware.
- Neurons in the source dataset
- 166,000+166,691 neurons, per the paper abstract (Cell, 2026). Describes the published resource, not what openflymind has implemented.Source[R4]
- Cell types
- 11,691Per the same abstract.Source[R4]
- Reference version
- MaleCNS v1.0Released 8 Jun 2026; check for changes before scientific implementation.Source[R2][R3]
- Coverage
- Brain + nerve cordCentral brain, optic lobes and ventral nerve cord of an adult male Drosophila melanogaster.Source[R1]
- Synaptic connections (announcement)
- ~125 millionPer the Google Research announcement of 3 Sep 2026. Not to be converted into matrix dimensions or edge counts.Source[R5]
Method
From anatomy to model
The proposed path from the anatomical map to a running model, in seven steps. Each step is a recorded decision, not a result already obtained.
Always distinguish the available dataset, the imported subset, the model that runs and the hardware that is integrated.
Select and record the data
Identify the neurons, connections and annotations needed, with version, filters, provenance and checksum.
Build a directed graph
Nodes stand for neurons or explicitly grouped units; edges, for connections present in the data.
Represent connectivity as sparse matrices
Keep the traceability between computational indices and biological identifiers.
Define the neural dynamics
Choose update equations, scales, parameters and hypotheses. The anatomical matrix alone does not determine the dynamics.
Connect sensors
Turn camera signals, and later tactile and auditory sensors, into inputs compatible with the modelled populations.
Connect actuators
Map model outputs to motion controllers, with physical limits and a safe stop.
Close the loop and measure
The robot acts in the environment; new stimuli return to the sensors; experiments assess the behaviour.
Provenance
Sources
Scientific and data references consulted for this page, with the date of access.
- [R1]Janelia — Male CNS Connectome — HHMI Janelia Research Campus, FlyEM Project TeamChosen resource: anatomical coverage, credits and licence.
- [R2]MaleCNS — male-cns.janelia.orgVersions, tools and release timeline.
- [R3]MaleCNS — DownloadProgrammatic access and data tables. The documentation consulted uses male-cns:v1.0.
- [R4]Sexual dimorphism in the complete connectome of the Drosophila male central nervous system — Berg et al., Cell, 2026 (record at Google Research)Paper abstract; neuron and cell-type counts.
- [R5]A connectomics milestone: mapping the complete male fruit fly brain — Google ResearchPublished 3 Sep 2026; scale, context and figures.
- [R6]Creative Commons — Attribution 4.0 International (CC BY 4.0)Attribution, indication of changes and link to the licence.
- [R7]Connectome/GoPiGo — GitHub repositoryDocumented precedent of a C. elegans-based model connected to a physical robot.
- [R8]FLYNN: Robust Neural Network for Robot Navigation using Fly Brain Topology — arXiv preprint, 2026Female FAFB v783 connectome topology and navigation in MuJoCo. Not to be confused with MaleCNS or with a physical demonstration.
- [R12]FlyWireReference for scientific presentation and visual exploration of connectomes; distinct from the chosen dataset.