{
  "name": "Flyiverse",
  "sourceCheckedThrough": "2026-09-10",
  "methodology": "https://flyiverse.com/about/",
  "notice": "Source inspection only. Programs have not been independently run or biologically validated by Flyiverse.",
  "projects": [
    {
      "slug": "doomfly",
      "name": "DOOMFLY",
      "repo": "https://github.com/nftechie/doomfly",
      "category": "games",
      "tagline": "A Doom arena with a MaleCNS wiring diagram in the control loop.",
      "description": "Doom frames stimulate modeled sensory inputs; activity in retained MaleCNS v1.0 wiring reaches a fixed button interface for turning, movement, and firing. The repository also describes an experimental dopamine-gated rule that changes a small set of connections.",
      "datasets": [
        "MaleCNS"
      ],
      "platforms": [
        "Python",
        "ViZDoom",
        "C++"
      ],
      "scope": "whole-graph",
      "neurons": "166,700 retained neurons; 25,582,938 directed connections",
      "model": "Approximate neural dynamics with experimental dopamine-gated plasticity",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "input": "Game frames mapped to modeled sensory neurons",
      "output": "Fixed neuron-to-button interface",
      "caveat": "Its README says the current training candidate failed its visual, conditioning, and survival validation gates; this catalog did not run it.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/nftechie/doomfly/blob/main/README.md"
        },
        {
          "label": "MaleCNS portal",
          "url": "https://male-cns.janelia.org/"
        }
      ],
      "relations": [
        {
          "slug": "malecns",
          "label": "uses MaleCNS v1.0 wiring"
        }
      ],
      "featured": true,
      "art": "doom"
    },
    {
      "slug": "desktop-fly",
      "name": "DesktopFly",
      "repo": "https://github.com/DenisSergeevitch/desktop-fly",
      "category": "desktop",
      "tagline": "A 3D fly that wanders across a macOS desktop.",
      "description": "A macOS desktop creature whose README describes spiking simulations built from FlyWire brain wiring and a MaleCNS brain-to-leg network, alongside modeled senses, joints, and behavior.",
      "datasets": [
        "FlyWire",
        "MaleCNS"
      ],
      "platforms": [
        "macOS",
        "Windows"
      ],
      "scope": "selected-circuit",
      "neurons": "668 FlyWire + 1,045 MaleCNS cells; distinct from the displayed point cloud",
      "model": "Leaky integrate-and-fire; explicit cross-specimen interface",
      "input": "Modeled cursor looming, window geometry, joint/contact feedback",
      "output": "Desktop creature behavior and articulated leg mechanics",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "caveat": "The connectome supplies wiring; the README also describes modeled body and behavioral layers. It was not run for this catalog.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/DenisSergeevitch/desktop-fly/blob/master/README.md"
        },
        {
          "label": "FlyWire Codex",
          "url": "https://codex.flywire.ai/"
        }
      ],
      "relations": [
        {
          "slug": "flywire",
          "label": "uses FlyWire wiring and annotations"
        },
        {
          "slug": "malecns",
          "label": "uses a MaleCNS brain-to-leg network"
        }
      ],
      "featured": true,
      "art": "desktop"
    },
    {
      "slug": "fly-escape",
      "name": "Help the Fly Escape",
      "repo": "https://github.com/dzhng/fly-escape",
      "category": "games",
      "tagline": "Rearrange a tiny house and see which simulated flies find the exit.",
      "description": "A browser game where the player places household objects, releases a swarm, and can follow a fly or inspect its brain while the README describes simulated neural movement.",
      "datasets": [
        "MaleCNS"
      ],
      "platforms": [
        "Web"
      ],
      "scope": "selected-circuit",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "caveat": "The README presents an interactive simulation, not biological validation; the linked page was only checked for an HTTP 200 response.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/dzhng/fly-escape/blob/main/README.md"
        },
        {
          "label": "MaleCNS portal",
          "url": "https://male-cns.janelia.org/"
        }
      ],
      "demo": "https://fly-escape.vercel.app",
      "relations": [
        {
          "slug": "malecns",
          "label": "README identifies a MaleCNS connectome basis"
        }
      ],
      "featured": true,
      "art": "escape"
    },
    {
      "slug": "fly-mario",
      "name": "Fly64",
      "repo": "https://github.com/ornata/fly",
      "category": "games",
      "tagline": "A MaleCNS model wired into Super Mario 64.",
      "description": "A macOS-specific project that connects a fly-brain model based on MaleCNS data to a decompiled Super Mario 64 build.",
      "datasets": [
        "MaleCNS"
      ],
      "platforms": [
        "macOS",
        "Super Mario 64"
      ],
      "scope": "unspecified",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "caveat": "The README documents setup requirements and a local server, but does not establish gameplay performance or biological fidelity.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/ornata/fly/blob/main/README.md"
        },
        {
          "label": "MaleCNS download",
          "url": "https://male-cns.janelia.org/download/"
        }
      ],
      "relations": [
        {
          "slug": "malecns",
          "label": "uses MaleCNS data"
        }
      ],
      "featured": true,
      "art": "mario"
    },
    {
      "slug": "fly-brain-snake",
      "name": "Fly Brain plays Snake",
      "repo": "https://github.com/SameerV7862/fly-brain-snake",
      "category": "games",
      "tagline": "Sugar and looming signals steer a full-connectome Snake loop.",
      "description": "A local Snake server using a reported full FlyWire connectome and a Shiu et al. leaky-integrate-and-fire model. Its README maps nearby walls and body to looming inputs and apples to sugar inputs.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Python",
        "Web"
      ],
      "scope": "whole-graph",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "model": "Shiu et al. leaky integrate-and-fire model",
      "input": "Mapped looming and sugar signals",
      "output": "Snake controls",
      "caveat": "The repository calls out local data from a sibling directory; this catalog did not inspect that data or run the game.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/SameerV7862/fly-brain-snake/blob/main/README.md"
        },
        {
          "label": "Shiu model repository",
          "url": "https://github.com/philshiu/Drosophila_brain_model"
        }
      ],
      "relations": [
        {
          "slug": "shiu-model",
          "label": "README names the Shiu et al. model"
        },
        {
          "slug": "flywire",
          "label": "uses FlyWire connectome data"
        }
      ],
      "featured": true,
      "art": "snake"
    },
    {
      "slug": "flytris",
      "name": "FlyTris",
      "repo": "https://github.com/rothilion26/flytris",
      "category": "games",
      "tagline": "A connectome-constrained mushroom body takes on Tetris.",
      "description": "A closed-loop Tetris experiment centered on a MaleCNS mushroom-body circuit and a plasticity rule that the README distinguishes from open-loop rendering demos.",
      "datasets": [
        "MaleCNS"
      ],
      "platforms": [
        "Python"
      ],
      "scope": "selected-circuit",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "caveat": "The project describes a model and learning experiment; source inspection is not an independent assessment of learning or fly cognition.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/rothilion26/flytris/blob/main/README.md"
        },
        {
          "label": "MaleCNS portal",
          "url": "https://male-cns.janelia.org/"
        }
      ],
      "relations": [
        {
          "slug": "malecns",
          "label": "uses a MaleCNS mushroom-body circuit"
        }
      ],
      "featured": true,
      "art": "tetris"
    },
    {
      "slug": "flyweight",
      "name": "Flyweight",
      "repo": "https://github.com/mukndd/flyweight",
      "category": "games",
      "tagline": "A browser fighter asks what biological wiring changes.",
      "description": "A browser fighting game with a recurrent artificial controller constrained by FlyWire FAFB v783 connectivity, compared in the repository with a rule-based bot.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Web"
      ],
      "scope": "selected-circuit",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "caveat": "It is an artificial network constrained by wiring, not a claim to recreate a living fly controller.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/mukndd/flyweight/blob/master/README.md"
        },
        {
          "label": "FlyWire annotations",
          "url": "https://github.com/flyconnectome/flywire_annotations"
        }
      ],
      "relations": [
        {
          "slug": "flywire",
          "label": "uses FlyWire FAFB v783 connectivity"
        }
      ]
    },
    {
      "slug": "fly-by-wire",
      "name": "Fly-By-Wire",
      "repo": "https://github.com/siddaarthrms/Fly-By-Wire",
      "category": "embodied",
      "tagline": "A small FlyWire circuit steers a simulated car.",
      "description": "A CARLA car controller built from an upstream-traced FlyWire circuit: a 30×30 grayscale camera input is mapped to cells and descending neurons drive steering, brakes, and throttle.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Python",
        "CARLA"
      ],
      "scope": "selected-circuit",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "input": "30×30 grayscale camera image",
      "output": "Car steering, brake, and throttle signals",
      "caveat": "The README explicitly says this is not a trained network; no driving behavior was independently tested.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/siddaarthrms/Fly-By-Wire/blob/main/README.md"
        },
        {
          "label": "Project write-up",
          "url": "https://siddaarth.com/Fly-By-Wire"
        }
      ],
      "relations": [
        {
          "slug": "flywire",
          "label": "uses a FlyWire-derived circuit"
        }
      ]
    },
    {
      "slug": "flymc",
      "name": "flymc",
      "repo": "https://github.com/Divij-Tech/flymc",
      "category": "games",
      "tagline": "A GPU spiking network steers a Minecraft spider.",
      "description": "A Minecraft Paper plugin and Python/PyTorch process coupled over a loopback socket; the README describes FlyWire-derived sensory inputs and descending-neuron outputs for a spider.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Minecraft",
        "Python",
        "CUDA"
      ],
      "scope": "whole-graph",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "model": "Leaky integrate-and-fire network",
      "caveat": "Its sensory mappings and action interface are project modeling choices, not measured fly physiology.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/Divij-Tech/flymc/blob/master/README.md"
        },
        {
          "label": "FlyWire",
          "url": "https://flywire.ai/"
        }
      ],
      "relations": [
        {
          "slug": "flywire",
          "label": "uses the FlyWire connectome"
        }
      ]
    },
    {
      "slug": "ruby-project",
      "name": "Ruby Project: I Have No Wings and I Must Fly",
      "repo": "https://github.com/wavendis/ruby-project",
      "category": "games",
      "tagline": "A Minecraft mod puts FlyWire-derived signals behind a mob.",
      "description": "A NeoForge Minecraft 1.21.1 mod whose README describes vision, olfaction, learning, and movement driven by FlyWire neural data.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Minecraft",
        "Java"
      ],
      "scope": "unspecified",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "caveat": "README-level documentation supports the implementation description, not a claim that the Minecraft mob reproduces fly behavior.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/wavendis/ruby-project/blob/main/README.md"
        },
        {
          "label": "FlyWire",
          "url": "https://flywire.ai/"
        }
      ],
      "relations": [
        {
          "slug": "flywire",
          "label": "uses FlyWire neural data"
        }
      ]
    },
    {
      "slug": "fly-minesweeper",
      "name": "FLY / MINE",
      "repo": "https://github.com/toufu-cell/fly_minesweeper",
      "category": "games",
      "tagline": "Minesweeper logic repurposed through traced MaleCNS neurons.",
      "description": "A local experiment that uses traced MaleCNS v1.0 neurons as computational, memory, and signal-passing components while making changes inspectable.",
      "datasets": [
        "MaleCNS"
      ],
      "platforms": [
        "Python",
        "Web"
      ],
      "scope": "whole-graph",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "caveat": "The README explicitly rejects claims of a living animal, natural neural dynamics, consciousness, or pain simulation.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/toufu-cell/fly_minesweeper/blob/main/README.md"
        },
        {
          "label": "MaleCNS portal",
          "url": "https://male-cns.janelia.org/"
        }
      ],
      "relations": [
        {
          "slug": "malecns",
          "label": "uses traced MaleCNS v1.0 neurons"
        }
      ]
    },
    {
      "slug": "infinite-sugar",
      "name": "Infinite Sugar",
      "repo": "https://github.com/cnqso/infinite-sugar",
      "category": "art",
      "tagline": "A terrarium fly gets a permanent sweet signal.",
      "description": "A FlyWire-based whole-brain emulation in a terrarium where continuous sweet-sensing stimulation drives reported neural activity, with some body motions supplied as patterns.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Web"
      ],
      "scope": "whole-graph",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "caveat": "The README distinguishes neural-driven motions from wing and foot motions supplied as patterns; the linked page was only checked for HTTP reachability.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/cnqso/infinite-sugar/blob/main/README.md"
        },
        {
          "label": "FlyWire",
          "url": "https://flywire.ai/"
        }
      ],
      "demo": "https://infinitesugar.cnqso.com/",
      "relations": [
        {
          "slug": "flywire",
          "label": "uses the FlyWire connectome"
        }
      ]
    },
    {
      "slug": "flychip",
      "name": "flychip",
      "repo": "https://github.com/Eriskii/flychip",
      "category": "tools",
      "tagline": "A compressed FlyWire-derived network for a microcontroller.",
      "description": "Firmware for an Adafruit Feather RP2350 running a packed central-brain graph derived from FlyWire FAFB v783 as a leaky-integrate-and-fire simulation.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Adafruit Feather RP2350",
        "C++"
      ],
      "scope": "selected-circuit",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "model": "Leaky integrate-and-fire network",
      "caveat": "The README says optic lobes and photoreceptors are excluded and labels dynamics, neurotransmitter signs, and sensory stimulation as modeling choices.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/Eriskii/flychip/blob/main/README.md"
        },
        {
          "label": "FlyWire annotations",
          "url": "https://github.com/flyconnectome/flywire_annotations"
        }
      ],
      "relations": [
        {
          "slug": "flywire",
          "label": "derives a graph from FlyWire FAFB v783"
        }
      ]
    },
    {
      "slug": "gnat",
      "name": "gnat",
      "repo": "https://github.com/lubabs770/gnat",
      "category": "desktop",
      "tagline": "DesktopFly adapted to a Hyprland desktop.",
      "description": "A Linux/Wayland port of DesktopFly: a desktop fly is described as responding to windows, cursor movement, time, and temperature through a connectome-based simulation.",
      "datasets": [
        "FlyWire",
        "MaleCNS"
      ],
      "platforms": [
        "Linux",
        "Wayland",
        "Hyprland"
      ],
      "scope": "selected-circuit",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "caveat": "This is a stated port relationship and README claim; it was not installed or exercised here.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/lubabs770/gnat/blob/main/README.md"
        },
        {
          "label": "DesktopFly upstream",
          "url": "https://github.com/DenisSergeevitch/desktop-fly"
        }
      ],
      "parent": "desktop-fly"
    },
    {
      "slug": "realfly",
      "name": "realfly",
      "repo": "https://github.com/dashw00d/realfly",
      "category": "desktop",
      "tagline": "A cross-platform desktop-creature engine with a FlyWire fly.",
      "description": "A transparent-overlay desktop-creature engine whose first creature is described as a port of DesktopFly, driven by a FlyWire connectome circuit.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Windows",
        "macOS",
        "Linux"
      ],
      "scope": "selected-circuit",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "caveat": "The README describes the engine and its first creature; this catalog did not test platform support or behavior.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/dashw00d/realfly/blob/main/README.md"
        },
        {
          "label": "DesktopFly upstream",
          "url": "https://github.com/DenisSergeevitch/desktop-fly"
        }
      ],
      "parent": "desktop-fly"
    },
    {
      "slug": "shiu-model",
      "name": "Drosophila brain model",
      "repo": "https://github.com/philshiu/Drosophila_brain_model",
      "category": "research",
      "tagline": "The companion code for a connectome-based fly LIF model.",
      "description": "Code accompanying the Shiu et al. paper, for activating and silencing neurons in a computational model based on an adult fruit-fly connectome.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Python",
        "Google Colab"
      ],
      "scope": "whole-graph",
      "evidence": "paper-linked",
      "checked": "2026-09-10",
      "model": "Leaky integrate-and-fire computational model",
      "caveat": "This is a computational model and companion repository, not a biological validation of all simulated activity.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/philshiu/Drosophila_brain_model/blob/main/Readme.md"
        },
        {
          "label": "Companion paper",
          "url": "https://www.biorxiv.org/content/10.1101/2024.02.28.582505v1"
        }
      ],
      "relations": [
        {
          "slug": "flywire",
          "label": "model is based on the adult FlyWire connectome"
        }
      ]
    },
    {
      "slug": "malecns",
      "name": "MaleCNS supplemental data",
      "repo": "https://github.com/flyconnectome/2025malecns",
      "category": "research",
      "tagline": "Derived data products for the male fly brain and ventral nerve cord.",
      "description": "Supplemental derived data and analysis notebooks accompanying Berg et al. (2025); its README directs primary connectome artifacts and interactive resources to the MaleCNS portal.",
      "datasets": [
        "MaleCNS"
      ],
      "platforms": [
        "Python"
      ],
      "scope": "toolkit",
      "evidence": "paper-linked",
      "checked": "2026-09-10",
      "caveat": "This repository is supplemental derived data, not the complete primary segmentation and synapse archive.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/flyconnectome/2025malecns/blob/main/README.md"
        },
        {
          "label": "Berg et al. preprint",
          "url": "https://www.biorxiv.org/content/10.1101/2025.10.09.680999"
        }
      ]
    },
    {
      "slug": "flywire",
      "name": "FlyWire neuron annotations",
      "repo": "https://github.com/flyconnectome/flywire_annotations",
      "category": "research",
      "tagline": "Versioned neuron annotations for the FlyWire public release.",
      "description": "Systematic neuron annotations and related data products for the FlyWire FAFB 783 public release, with tagged releases for publication-matched versions.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Data files",
        "Python"
      ],
      "scope": "toolkit",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "caveat": "The README warns annotations change after the initial preprint; consumers need the tagged release appropriate to their publication.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/flyconnectome/flywire_annotations/blob/main/README.md"
        },
        {
          "label": "FlyWire project",
          "url": "https://flywire.ai/"
        }
      ]
    },
    {
      "slug": "codex",
      "name": "Codex",
      "repo": "https://github.com/murthylab/codex",
      "category": "tools",
      "tagline": "A web explorer for FlyWire neurons and annotations.",
      "description": "The open repository for Codex, a web application for exploring and analyzing FlyWire whole-brain-connectome neurons and annotations.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Web",
        "Python"
      ],
      "scope": "visualization",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "caveat": "It is an exploration and analysis interface, not itself a neuron-dynamics simulator.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/murthylab/codex/blob/main/README.md"
        },
        {
          "label": "Codex web app",
          "url": "https://codex.flywire.ai/"
        }
      ],
      "relations": [
        {
          "slug": "flywire",
          "label": "explores FlyWire neurons and annotations"
        }
      ]
    },
    {
      "slug": "fafbseg-py",
      "name": "fafbseg-py",
      "repo": "https://github.com/navis-org/fafbseg-py",
      "category": "tools",
      "tagline": "Python tools for querying and working with FAFB data.",
      "description": "A Python package in the navis ecosystem for interacting with the FAFB segmentation and associated fly-connectome services.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Python"
      ],
      "scope": "toolkit",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "caveat": "A data-access toolkit, not a behavioral or whole-brain simulation.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/navis-org/fafbseg-py/blob/master/README.md"
        },
        {
          "label": "Documentation",
          "url": "https://fafbseg-py.readthedocs.io/en/latest/"
        }
      ],
      "relations": [
        {
          "slug": "flywire",
          "label": "tooling for FAFB/FlyWire ecosystem data"
        }
      ]
    },
    {
      "slug": "flygym",
      "name": "FlyGym",
      "repo": "https://github.com/NeLy-EPFL/flygym",
      "category": "embodied",
      "tagline": "A physics environment for simulated fly bodies and control.",
      "description": "An open simulation environment for fly biomechanics and control, with a rewritten FlyGym 2.x API announced in its README.",
      "datasets": [
        "Unspecified"
      ],
      "platforms": [
        "Python"
      ],
      "scope": "toolkit",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "caveat": "This is an embodied-simulation toolkit; its README does not make it a whole-connectome dataset or validation result.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/NeLy-EPFL/flygym/blob/main/README.md"
        },
        {
          "label": "FlyGym documentation",
          "url": "https://neuromechfly.org/"
        }
      ]
    },
    {
      "slug": "chimera",
      "name": "CHIMERA",
      "repo": "https://github.com/caparison1234/chimera",
      "category": "embodied",
      "tagline": "A larval connectome coupled to a MuJoCo body.",
      "description": "A digital-lifeform project built from a reported larval fruit-fly connectome and connected to a MuJoCo physics body.",
      "datasets": [
        "Larval"
      ],
      "platforms": [
        "Python",
        "MuJoCo"
      ],
      "scope": "whole-graph",
      "evidence": "paper-linked",
      "checked": "2026-09-10",
      "caveat": "The repository describes a simulation built from larval wiring; source inspection does not validate biological behavior.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/caparison1234/chimera/blob/main/README.md"
        },
        {
          "label": "Winding et al. (2023)",
          "url": "https://www.science.org/doi/10.1126/science.add9330"
        }
      ]
    },
    {
      "slug": "webgpu-fly",
      "name": "webgpu-fly",
      "repo": "https://github.com/abgnydn/webgpu-fly",
      "category": "embodied",
      "tagline": "Fire a named neuron. Send a browser fly toward a target.",
      "description": "A browser game couples a FlyWire brain graph, MANC ventral nerve cord graph, and a flybody physics model through a modeled cross-specimen interface. Named-neuron stimulation feeds a hand-written gait; a separate trained walking-policy path bypasses the connectomes.",
      "datasets": [
        "FlyWire",
        "MANC"
      ],
      "platforms": [
        "Web",
        "WebGPU"
      ],
      "scope": "whole-graph",
      "neurons": "139,255 FlyWire brain cells + 23,188 MANC nerve-cord cells (author-reported)",
      "model": "Leaky integrate-and-fire with modeled body coupling",
      "input": "Named-neuron stimulation and rendered retinal input",
      "output": "Motor-rate readouts scale a programmed walking gait",
      "art": "embodied",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "caveat": "The README explicitly documents cross-animal name matching, programmed gait, default kinematic assistance, and no quantitative whole-brain validation. Its separate trained walking policy is not connectome-driven.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/abgnydn/webgpu-fly/blob/main/README.md"
        },
        {
          "label": "Launch page",
          "url": "https://webgpu-fly.pages.dev"
        }
      ],
      "demo": "https://webgpu-fly.pages.dev"
    },
    {
      "slug": "fly-brain-arena",
      "name": "fly-brain",
      "repo": "https://github.com/Lulzx/fly-brain",
      "category": "embodied",
      "tagline": "A whole-CNS browser arena and connectome viewer.",
      "description": "A browser project combining a reported MaleCNS v1.0 whole-CNS simulation, physics body, arena, and connectome viewer.",
      "datasets": [
        "MaleCNS"
      ],
      "platforms": [
        "Web",
        "WebGPU"
      ],
      "scope": "whole-graph",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "caveat": "The README describes modeled dynamics and a physics body; the arena URL was checked only for HTTP reachability, not behavior.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/Lulzx/fly-brain/blob/main/README.md"
        },
        {
          "label": "MaleCNS portal",
          "url": "https://male-cns.janelia.org/"
        }
      ],
      "demo": "https://lulzx.com/fly-brain/arena.html",
      "relations": [
        {
          "slug": "malecns",
          "label": "uses MaleCNS v1.0 data"
        }
      ]
    },
    {
      "slug": "flyboard-music",
      "name": "FLYBOARD",
      "repo": "https://github.com/sukoji/flyboard",
      "category": "art",
      "tagline": "A whole fly CNS listens for the pulse inside pop songs.",
      "description": "A MaleCNS spiking simulation feeds a modeled Johnston's-organ ear with song previews, then ranks songs by similarity to its response to courtship song.",
      "datasets": [
        "MaleCNS"
      ],
      "platforms": [
        "Python",
        "CUDA"
      ],
      "scope": "whole-graph",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "model": "Leaky integrate-and-fire",
      "input": "Modeled audio-band activity at Johnston's organ",
      "output": "Brain-wide response similarity score and neuron-painted covers",
      "caveat": "Its audio mapping and score are project modeling choices, not a fly's musical preference or validated auditory response.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/sukoji/flyboard/blob/main/README.md"
        },
        {
          "label": "MaleCNS portal",
          "url": "https://male-cns.janelia.org/"
        }
      ],
      "relations": [
        {
          "slug": "malecns",
          "label": "uses MaleCNS v1.0 wiring"
        }
      ],
      "art": "flyboard-music"
    },
    {
      "slug": "fly-brain-on-music",
      "name": "Fly Brain on Music",
      "repo": "https://github.com/pentasir/fly-brain-on-music",
      "category": "art",
      "tagline": "A real auditory subgraph becomes a glowing, music-synced brain scene.",
      "description": "A Streamlit visualizer simulates a FlyWire auditory-pathway subgraph with LIF dynamics and renders neurons at their reported positions while audio features drive modeled input.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Python",
        "Web"
      ],
      "scope": "selected-circuit",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "model": "Leaky integrate-and-fire",
      "input": "Artist-defined audio feature mapping",
      "output": "Audio-synced 3D neural activity scene",
      "caveat": "The README explicitly calls audio-to-neuron mapping artistic and not a validated account of fly hearing.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/pentasir/fly-brain-on-music/blob/main/README.md"
        },
        {
          "label": "Author-listed demo (only loading shell observed)",
          "url": "https://fly-brain-on-music-xbu8eqftdnxbxupgxbga8z.streamlit.app"
        }
      ],
      "relations": [
        {
          "slug": "flywire",
          "label": "uses a FlyWire auditory subgraph"
        }
      ],
      "art": "music-scene"
    },
    {
      "slug": "making-fly-play-chess",
      "name": "making-fly-play-chess",
      "repo": "https://github.com/mncrftfrcnm/making-fly-play-chess",
      "category": "games",
      "tagline": "A frozen fly-connectome reservoir gives chess positions a strange second opinion.",
      "description": "A reinforcement-learning chess agent sends an encoded board through an 8,192-neuron fixed reservoir derived from the Drosophila brain model and trains only the score readout.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Python",
        "Google Colab"
      ],
      "scope": "selected-circuit",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "input": "Encoded chess position",
      "output": "Position score used to select legal moves",
      "caveat": "The README labels it a simplified reservoir experiment, not a biological simulation or competitive engine.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/mncrftfrcnm/making-fly-play-chess/blob/main/README.md"
        },
        {
          "label": "Upstream model",
          "url": "https://github.com/philshiu/Drosophila_brain_model"
        }
      ],
      "relations": [
        {
          "slug": "shiu-model",
          "label": "uses its connectome data"
        }
      ],
      "art": "chess-reservoir"
    },
    {
      "slug": "fly-brain-chess",
      "name": "Fly Brain / Chess",
      "repo": "https://github.com/ebubekir/fly-brain-chess",
      "category": "games",
      "tagline": "A small frozen FlyWire reservoir plays chess while its spikes light the board's sidecar graph.",
      "description": "A local Docker application maps chess pieces into sensory channels, runs a selected FlyWire v783 recurrent graph, and decodes legal moves with an offline-trained linear layer.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Docker",
        "Web"
      ],
      "scope": "selected-circuit",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "model": "Leaky integrate-and-fire reservoir",
      "input": "Chessboard occupancy channels",
      "output": "Offline-trained move policy",
      "caveat": "The selected graph, signs, dynamics, chess encoding, and readout are engineered; README makes no competitive-strength claim.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/ebubekir/fly-brain-chess/blob/main/README.md"
        },
        {
          "label": "FlyWire Codex",
          "url": "https://codex.flywire.ai/"
        }
      ],
      "relations": [
        {
          "slug": "flywire",
          "label": "uses a FlyWire FAFB v783 subgraph"
        }
      ],
      "art": "chess-spikes"
    },
    {
      "slug": "null-lab-flyboard",
      "name": "FLYBOARD (NullLabTests)",
      "repo": "https://github.com/NullLabTests/flybrain",
      "category": "art",
      "tagline": "Arcade buttons inject current into the entire MaleCNS and show the wave.",
      "description": "A pygame viewer runs the full MaleCNS graph with toy leaky-integrator dynamics; labeled buttons resolve cell populations and inject simulated current into them.",
      "datasets": [
        "MaleCNS"
      ],
      "platforms": [
        "Python",
        "pygame"
      ],
      "scope": "whole-graph",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "model": "Leaky integrator",
      "input": "Button-driven current injections",
      "output": "Rendered voltage and spike field",
      "caveat": "The README calls the dynamics toy and says the buttons do not model feelings, death, or biological reward.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/NullLabTests/flybrain/blob/main/README.md"
        },
        {
          "label": "MaleCNS portal",
          "url": "https://male-cns.janelia.org/"
        }
      ],
      "relations": [
        {
          "slug": "malecns",
          "label": "uses MaleCNS v1.0 wiring"
        }
      ],
      "art": "arcade-brain"
    },
    {
      "slug": "talking-fly",
      "name": "TalkingFly",
      "repo": "https://github.com/Fatalist0001/talkingFly",
      "category": "art",
      "tagline": "An olfactory subgraph sniffs a molecule, then a local language model gives it a voice.",
      "description": "A Brian2 simulation of a 3,097-neuron FlyWire olfactory subgraph receives DoOR odor-response inputs; a trained decoder and local Gemma model turn results into text.",
      "datasets": [
        "FlyWire",
        "Other"
      ],
      "platforms": [
        "Python",
        "Windows"
      ],
      "scope": "selected-circuit",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "model": "Leaky integrate-and-fire",
      "input": "DoOR odor-response profiles",
      "output": "Odor decoder and local language-model phrase",
      "caveat": "The language-model phrase is a presentation layer; the README also limits claims about odor generalization and simplified LIF dynamics.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/Fatalist0001/talkingFly/blob/main/README.md"
        },
        {
          "label": "DoOR database",
          "url": "https://www.iaf-alliance.org/door/"
        }
      ],
      "relations": [
        {
          "slug": "flywire",
          "label": "uses an olfactory FlyWire subgraph"
        }
      ],
      "art": "odor-voice"
    },
    {
      "slug": "emergent-individuality-fly",
      "name": "Emergent Individuality",
      "repo": "https://github.com/erojasoficial-byte/fly-brain",
      "category": "embodied",
      "tagline": "Two identical whole-brain simulations take different paths through one virtual world.",
      "description": "A GPU LIF simulation couples a FlyWire v783 whole-brain graph to a NeuroMechFly/MuJoCo body with modeled sensory and motor layers, plasticity, and integration metrics.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Python",
        "CUDA",
        "MuJoCo"
      ],
      "scope": "whole-graph",
      "evidence": "paper-linked",
      "checked": "2026-09-10",
      "model": "Leaky integrate-and-fire with Hebbian plasticity",
      "caveat": "The repository's companion preprint and README report its own results; embodiment, sensory encoders, and integration metrics remain model layers.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/erojasoficial-byte/fly-brain/blob/main/README.md"
        },
        {
          "label": "Companion preprint",
          "url": "https://doi.org/10.5281/zenodo.19152238"
        }
      ],
      "relations": [
        {
          "slug": "flywire",
          "label": "uses FlyWire v783"
        },
        {
          "slug": "flygym",
          "label": "uses NeuroMechFly v2"
        }
      ],
      "art": "embodied-individuality"
    },
    {
      "slug": "fruit-fly-lab",
      "name": "Fruit Fly Laboratory",
      "repo": "https://github.com/vaibhavkedarisetti/fruit-fly-lab",
      "category": "embodied",
      "tagline": "Throw a virtual rock and trace a modeled whole brain's route to escape.",
      "description": "A browser and Python laboratory runs a full FlyWire v783 LIF graph, drives selected sensory populations, and exposes reported circuit and lesion experiments with a kinematic body.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Python",
        "Web"
      ],
      "scope": "whole-graph",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "model": "Shiu et al. leaky integrate-and-fire model",
      "input": "Modeled looming, taste, and other sensory drives",
      "output": "Descending-neuron readouts and kinematic body",
      "caveat": "Its README explicitly separates measured wiring from modeled transduction, point neurons, and kinematic body behavior.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/vaibhavkedarisetti/fruit-fly-lab/blob/main/README.md"
        },
        {
          "label": "Shiu et al.",
          "url": "https://doi.org/10.1038/s41586-024-07763-9"
        }
      ],
      "relations": [
        {
          "slug": "flywire",
          "label": "uses FlyWire FAFB v783"
        },
        {
          "slug": "shiu-model",
          "label": "transcribes its model parameters"
        }
      ],
      "art": "lab-escape"
    },
    {
      "slug": "flybrain-flight-controller",
      "name": "Fruit Fly Brain Flight Controller",
      "repo": "https://github.com/dylankainth/flybrain",
      "category": "embodied",
      "tagline": "A FlyWire-derived controller points a DJI Tello toward the sky.",
      "description": "A project for a simulated and DJI Tello flight controller based on FlyWire connectivity, LIF dynamics, optic-flow input, and decoded descending-neuron motor commands.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Python",
        "DJI Tello"
      ],
      "scope": "whole-graph",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "model": "Leaky integrate-and-fire",
      "input": "Optic flow or drone camera feed",
      "output": "Decoded forward, turn, and climb commands",
      "caveat": "README performance and flight claims are author-reported; it documents simplified flight physics and an arbitrary left/right proxy in its data.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/dylankainth/flybrain/blob/master/README.md"
        },
        {
          "label": "FlyWire",
          "url": "https://flywire.ai/"
        }
      ],
      "relations": [
        {
          "slug": "flywire",
          "label": "uses FlyWire FAFB v783"
        }
      ],
      "art": "drone-fly"
    },
    {
      "slug": "fruit-fly-brain-research",
      "name": "Fruit fly brain",
      "repo": "https://github.com/AbijahKaj/fruit-fly-brain-research",
      "category": "embodied",
      "tagline": "A browser flight loop keeps its circuit small enough to inspect.",
      "description": "A TypeScript project extracts a MaleCNS vision-to-wing subgraph, applies a fitted rate model, and couples rendered eye input to a cartoon flight body.",
      "datasets": [
        "MaleCNS"
      ],
      "platforms": [
        "TypeScript",
        "WebGPU",
        "Web"
      ],
      "scope": "selected-circuit",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "model": "Fitted rate network",
      "input": "Rendered visual scene",
      "output": "Left/right wing commands",
      "caveat": "The README calls the body and neuron dynamics cartoon/model layers and records unresolved flight limitations.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/AbijahKaj/fruit-fly-brain-research/blob/main/README.md"
        },
        {
          "label": "MaleCNS portal",
          "url": "https://male-cns.janelia.org/"
        }
      ],
      "relations": [
        {
          "slug": "malecns",
          "label": "extracts MaleCNS circuit data"
        }
      ],
      "art": "browser-flight"
    },
    {
      "slug": "flysim",
      "name": "FlySim",
      "repo": "https://github.com/mikewolak/flysim",
      "category": "embodied",
      "tagline": "An Apple Silicon fly brain turns sensory clamps into a native desktop creature.",
      "description": "A Cocoa application runs a FlyWire whole-brain LIF network with C and Metal backends, exposes population inputs and outputs, and maps selected results to an animated fly.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "macOS",
        "C",
        "Metal"
      ],
      "scope": "whole-graph",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "model": "Leaky integrate-and-fire",
      "input": "Tagged sensory-population clamps",
      "output": "Motor and descending-neuron population readouts",
      "caveat": "The README provides author-reported benchmarks; the animated behavior and sensory mappings are project layers over the connectome.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/mikewolak/flysim/blob/main/README.md"
        },
        {
          "label": "FlyWire annotations",
          "url": "https://github.com/flyconnectome/flywire_annotations"
        }
      ],
      "relations": [
        {
          "slug": "flywire",
          "label": "uses FlyWire v783"
        }
      ],
      "art": "native-flysim"
    },
    {
      "slug": "bio-sandbox",
      "name": "BIO — Biological Intelligence Sandbox",
      "repo": "https://github.com/sarveshkochhar/bio-sandbox",
      "category": "tools",
      "tagline": "A provenance-first sandbox labels the line between connectome and invention.",
      "description": "A browser laboratory imports a FlyWire graph or synthetic data, runs configurable spiking models and an embodied world, and carries provenance through views and exports.",
      "datasets": [
        "FlyWire",
        "Other"
      ],
      "platforms": [
        "Web",
        "TypeScript"
      ],
      "scope": "toolkit",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "caveat": "The README says it does not simulate a fly; neuron parameters, body, world, plasticity, and demo data are explicit model or synthetic layers.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/sarveshkochhar/bio-sandbox/blob/main/README.md"
        },
        {
          "label": "FlyWire connectivity release",
          "url": "https://doi.org/10.5281/zenodo.10676866"
        }
      ],
      "relations": [
        {
          "slug": "flywire",
          "label": "can import FlyWire FAFB v783"
        }
      ],
      "art": "provenance-sandbox"
    },
    {
      "slug": "connectome-fly-closedloop",
      "name": "connectome-fly-closedloop",
      "repo": "https://github.com/leohio/connectome-fly-closedloop",
      "category": "embodied",
      "tagline": "A MANC gyro circuit closes the loop around wings, legs, and a MuJoCo body.",
      "description": "A research project couples a selected MANC flight or walking circuit to flybody physics at sub-millisecond steps and documents wiring-shuffle controls alongside the modeled layers.",
      "datasets": [
        "MANC",
        "FlyWire"
      ],
      "platforms": [
        "Python",
        "MuJoCo"
      ],
      "scope": "selected-circuit",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "model": "Leaky integrate-and-fire",
      "input": "Modeled haltere and proprioceptive signals",
      "output": "Steering-muscle and leg motor-neuron readouts",
      "caveat": "The README reports a single-model research result and explicitly documents no ground takeoff, weak walking, external calibration, and modeled electrical and muscle layers.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/leohio/connectome-fly-closedloop/blob/main/README.md"
        },
        {
          "label": "MANC project",
          "url": "https://www.manc-connectome.org/"
        }
      ],
      "art": "closed-loop-flight"
    },
    {
      "slug": "desktop-fly-linux",
      "name": "desktopfly (Linux)",
      "repo": "https://github.com/somsom10/desktop-fly-linux",
      "category": "desktop",
      "tagline": "A FlyWire fly walks across Linux windows and flees the cursor.",
      "description": "A Linux/X11-or-XWayland port of DesktopFly retains its selected FlyWire LIF circuit and adds desktop interactions, brain visualization, cursor looming, and sugar controls.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Linux",
        "X11",
        "Wayland"
      ],
      "scope": "selected-circuit",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "model": "Leaky integrate-and-fire",
      "input": "Modeled cursor looming and desktop signals",
      "output": "Procedural desktop creature behavior",
      "caveat": "The body and odor field are modeled, and the README notes native Wayland surfaces cannot provide all desktop senses.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/somsom10/desktop-fly-linux/blob/main/README.md"
        },
        {
          "label": "DesktopFly upstream",
          "url": "https://github.com/DenisSergeevitch/desktop-fly"
        }
      ],
      "parent": "desktop-fly",
      "art": "linux-desktop"
    },
    {
      "slug": "evdokimov-desktop-fly",
      "name": "DesktopFly (Windows)",
      "repo": "https://github.com/EvdokimovDU/desktop-fly",
      "category": "desktop",
      "tagline": "A Direct3D FlyWire creature moves across a Windows desktop.",
      "description": "A Windows .NET application based on DesktopFly renders a procedural desktop fly and a live 668-neuron FlyWire v783 LIF circuit with interactive stimulation.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Windows",
        ".NET"
      ],
      "scope": "selected-circuit",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "model": "Leaky integrate-and-fire",
      "input": "Modeled looming and input events",
      "output": "Procedural desktop creature behavior",
      "caveat": "The README presents a project implementation; the circuit is selected and the body and behavior mapping are modeled.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/EvdokimovDU/desktop-fly/blob/main/README.md"
        },
        {
          "label": "DesktopFly upstream",
          "url": "https://github.com/DenisSergeevitch/desktop-fly"
        }
      ],
      "parent": "desktop-fly",
      "art": "windows-desktop"
    },
    {
      "slug": "desktop-vibe-fly-4win",
      "name": "Desktop Vibe Fly 4Win",
      "repo": "https://github.com/MMGGAAS3-git/desktop-vibe-fly-4win",
      "category": "desktop",
      "tagline": "A Windows port gives a FlyWire desktop fly a nose for active agent work.",
      "description": "A Win32/Direct3D11 port of desktop-vibe-fly runs a selected FlyWire LIF circuit and adds desktop terrain plus modeled project and process signals.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Windows",
        ".NET"
      ],
      "scope": "selected-circuit",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "model": "Leaky integrate-and-fire",
      "input": "Modeled desktop, process, and project signals",
      "output": "Procedural desktop creature behavior",
      "caveat": "The agent-smell features and desktop sensing are application behavior, not biological sensing; its README also notes a stochastic diagnostic.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/MMGGAAS3-git/desktop-vibe-fly-4win/blob/master/README.md"
        },
        {
          "label": "DesktopFly upstream",
          "url": "https://github.com/DenisSergeevitch/desktop-fly"
        }
      ],
      "parent": "desktop-fly",
      "art": "vibe-fly"
    },
    {
      "slug": "siliconfly",
      "name": "SiliconFly",
      "repo": "https://github.com/dawsonamf/siliconfly",
      "category": "desktop",
      "tagline": "A Metal-shader FlyWire brain makes a macOS fly twitch across windows.",
      "description": "A macOS DesktopFly descendant replaces its small circuit with a full FlyWire v783 LIF simulation in Metal and maps named neural population activity to a procedural creature.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "macOS",
        "Swift",
        "Metal"
      ],
      "scope": "whole-graph",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "model": "Leaky integrate-and-fire",
      "input": "Modeled cursor, window, gait, and wind signals",
      "output": "Named-neuron readouts drive procedural behavior",
      "caveat": "The README carefully separates measured wiring from shared LIF parameters, invented noise, sensory drives, and procedural body behavior.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/dawsonamf/siliconfly/blob/master/README.md"
        },
        {
          "label": "DesktopFly upstream",
          "url": "https://github.com/DenisSergeevitch/desktop-fly"
        }
      ],
      "parent": "desktop-fly",
      "relations": [
        {
          "slug": "flywire",
          "label": "uses FlyWire FAFB v783"
        }
      ],
      "art": "silicon-fly"
    },
    {
      "slug": "fly-brain-benchmarks",
      "name": "Emulation of the Drosophila Fly Brain",
      "repo": "https://github.com/eonsystemspbc/fly-brain",
      "category": "research",
      "tagline": "One whole-brain LIF model, six compute backends, and a mountain of spike files.",
      "description": "A FlyWire whole-brain LIF implementation supports activation and silencing experiments plus benchmark and parity workflows across Brian2, PyTorch, NEST GPU, GeNN, and related backends.",
      "datasets": [
        "FlyWire"
      ],
      "platforms": [
        "Python",
        "CUDA",
        "Linux"
      ],
      "scope": "whole-graph",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "model": "Shiu et al. leaky integrate-and-fire model",
      "caveat": "Backend agreement checks implementation parity, not biological validation; the README's cited model result is not a companion paper for this fork.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/eonsystemspbc/fly-brain/blob/main/README.md"
        },
        {
          "label": "Shiu et al.",
          "url": "https://doi.org/10.1038/s41586-024-07763-9"
        }
      ],
      "relations": [
        {
          "slug": "shiu-model",
          "label": "adapts the whole-brain model"
        },
        {
          "slug": "flywire",
          "label": "uses FlyWire v783"
        }
      ],
      "art": "backend-brain"
    },
    {
      "slug": "natverse-malecns",
      "name": "malecns",
      "repo": "https://github.com/natverse/malecns",
      "category": "tools",
      "tagline": "An R bridge makes the male CNS easier to query, plot, and translate between atlases.",
      "description": "An experimental natverse wrapper provides R access to the public male-cns:v1.0 neuPrint snapshot, metadata columns, meshes, and coordinate transforms.",
      "datasets": [
        "MaleCNS"
      ],
      "platforms": [
        "R"
      ],
      "scope": "toolkit",
      "evidence": "readme-reviewed",
      "checked": "2026-09-10",
      "caveat": "It is a thin experimental data-access wrapper, with neuPrint authentication required for access and separate Clio access for writes.",
      "sources": [
        {
          "label": "README",
          "url": "https://github.com/natverse/malecns/blob/master/README.md"
        },
        {
          "label": "MaleCNS project",
          "url": "https://www.janelia.org/project-team/flyem/male-cns-connectome"
        }
      ],
      "relations": [
        {
          "slug": "malecns",
          "label": "accesses the MaleCNS public snapshot"
        }
      ],
      "art": "malecns-r"
    }
  ]
}