Connectomics and robotics research

A biological connectome. A synthetic body.

What if a fly's neural architecture could guide a robot we build ourselves? openflymind explores that possibility using MaleCNS data, connecting a computational model to perception and movement in the physical world.

Current status: Project in development

  1. connectome
  2. matrix
  3. body
Conceptual illustration — does not represent MaleCNS data — form study; platform not yet decided

Scale of the scientific resource

The source resource

openflymind starts from a connectome published by other teams. The figures below describe that dataset, not what the project has already imported, run or integrated into 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.[R4]
Cell types
11,691
Per the same abstract.[R4]
Reference version
MaleCNS v1.0
Released 8 Jun 2026; check for changes before scientific implementation.[R2][R3]
Coverage
Brain + nerve cord
Central brain, optic lobes and ventral nerve cord of an adult male Drosophila melanogaster.[R1]
Synaptic connections (announcement)
~125 million
Per the Google Research announcement of 3 Sep 2026. Not to be converted into matrix dimensions or edge counts.[R5]

Data: FlyEM Male CNS Connectomemale-cns:v1.0 · FlyEM / HHMI Janelia Research Campus · University of Cambridge · MRC Laboratory of Molecular Biology · Google Research · Licence: CC BY 4.0. Use of public data does not imply institutional collaboration.

The question

Can a wiring diagram take on a body?

A connectome reveals an architecture of connections. Our challenge is to investigate how that structure can become a model that receives signals, produces actions and responds to the consequences of its own movements. We aim to develop a pioneering demonstration of MaleCNS robotic embodiment, with explicit methods and evidence that others can examine and reproduce.

The method

Biological architecture interacting with the environment

We will use connectivity data to build a sparse computational representation. Model dynamics and sensory and motor interfaces will be documented experimental choices. The proposed first stage combines vision and movement, with touch and hearing extending the research agenda.

01Anatomy02Model03Sensors04Actuation05Environmentfeedback from the environment01Anatomy02Model03Sensors04Actuation05Environmentfeedback from the environment
Figure 1Proposed flow: the connectome's anatomy gives rise to a computational model; sensors feed the model, whose outputs drive actuation; the environment responds and returns new stimuli to the sensors. conceptual figure
  1. 01Anatomy — published connectome
  2. 02Model — sparse matrix and dynamics
  3. 03Sensors — camera; later touch and hearing
  4. 04Actuation — movement with safe stop
  5. 05Environment — new stimuli

Proposed first stage: vision and movement. Touch and hearing come later as extensions, subject to validation.

Photographs of the real equipment will appear here once it exists. Until then, no renders posing as a prototype.

The body under construction

A robotic body still to be built

The proposed initial scope is vision and movement: a camera as input and movement actuators with physical limits and a safe stop as output; the form of the platform will be defined by the team. Touch and hearing appear as extensions, dependent on validating the earlier stages.

No hardware has been assembled yet. Sensors, processing board, power and actuators will only be given commercial part numbers once the team confirms them. What exists today is the planned architecture and the agenda of engineering decisions.

Progress

Where the project stands

Next milestone

01 Foundations and scope

In progress

Selection of MaleCNS, formulation of the question and definition of evaluation criteria.

Dataset chosen and question formulated; evaluation criteria being drafted. Decisions count as documented only once recorded in the journal.

Last real update: September 22, 2026

Real states for each stage, with no completion percentages. A "tested" stage may have a negative result.

Proposed stages

  1. 01

    Foundations and scopeIn progress

    Dataset chosen and question formulated; evaluation criteria being drafted. Decisions count as documented only once recorded in the journal.

  2. 02

    Import and graphPlanned

  3. 03

    Model dynamicsPlanned

  4. 04

    Vision and movement in simulationPlanned

  5. 05

    Robotic bodyPlanned

  6. 06

    Physical closed loopPlanned

  7. 07

    Sensory extensionsPlanned

    Exploratory.

  8. 08

    Reproduction and communicationPlanned

See all stages

Research journal

Latest notes

The first notes are being reviewed by the team and will be published here.

Team

Who is behind openflymind

Meet the team
  1. Sophia Oliveira Alves smiling, wearing glasses and a black jacket, seated in front of a studio microphone.

    Sophia Oliveira Alves

    Project Lead · Student Researcher

    • Project Lead
    • Feynman Clube Founder
    • IEEE Student Member
  2. Marcos Moreira Alves at the microphone during a talk, with part of the projected slide and the audience in the background.

    Marcos Moreira Alves

    Engineering Mentor · IEEE Senior Member

    • Engineering Mentor
    • IEEE Senior Member
    • Electrical Engineering · UFJF

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Follow the questions, engineering decisions and evidence shaping openflymind. Each stage will document its context, its tests and what we still need to understand.

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