Row 41 is the Pokemon Center nurse: 2,142 YES starts on one tile of map
0x3a with a party at 70/70. The survey that names it is a new probe mode
(FLY_PROBE_CATCH=nurse) that leaves the box with B and then pulses A,
printing every state the conversation passes through with the two-option
menu's own geometry beside it. It is a ring of forty-six presses and the
box is a choice on exactly one of them.
So the reading: wFontLoaded plus the border DisplayTwoOptionMenu draws,
plus the cursor it parks inside it. Both halves are needed -- the cursor
bytes survive the box closing, so all forty-six frames carry the
geometry. It claims that box and not "a choice is open" in general.
TargetKey gains Answer { at, yes } for the reopened-prompt exclusion.
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||
|---|---|---|
| .forgejo/workflows | ||
| .github/workflows | ||
| apps/stage | ||
| data/fafb-v783 | ||
| docs | ||
| infra | ||
| packages | ||
| services | ||
| tools | ||
| .gitignore | ||
| CLAUDE.md | ||
| CONTRIBUTING.md | ||
| LICENSE | ||
| LICENSES.md | ||
| Makefile | ||
| NOTICE | ||
| package-lock.json | ||
| package.json | ||
| README.md | ||
| ROM-POLICY.md | ||
flybrain
A simulated fruit-fly brain that plays video games. A connectome-constrained spiking network reads the screen, its population rates become controller inputs, and a scalar reward nudges a bounded set of Kenyon-cell to MBON gains.
The library is @flybrain/brain in packages/brain. It holds the connectome dataset format, the
LIF kernel, the plasticity rule, the population-rate readout and the activity-map geometry. It
holds no game, no emulator and no reward rules: those belong to whatever embeds it.
Workspace layout
| Path | Contents |
|---|---|
packages/brain |
the library (@flybrain/brain) |
data/fafb-v783 |
FlyWire-derived browser artifacts (CC BY-NC 4.0) |
tools/ |
the Python builder that regenerates data/ from official Codex exports |
docs/ |
overview, dataset format, model, plasticity, readout, integration, limitations, verification |
services/flysim |
the Rust service: brain, emulator, snapshot feed, control API, checkpoints |
apps/ |
planned: one directory per game demo |
infra/ |
planned: deployment for the 24/7 stream (see docs/streaming-plan.md) |
Quick start
npm ci
npm test
npm run typecheck
76 tests, about 7 seconds. There is no build step. npx tsx packages/brain/examples/node-random-frames.ts 60
runs the full 139,255-neuron brain with the Game Boy readout on noise frames in plain Node
(about 0.9x Game Boy real time single-threaded on a WSL laptop).
Usage
import { NeuralAgent, gameboyDecoderConfig, toButtonMask } from '@flybrain/brain';
import { loadBrainDatasetFromDir } from '@flybrain/brain/node';
const dataset = await loadBrainDatasetFromDir('data/fafb-v783');
const agent = new NeuralAgent(dataset, { decoder: gameboyDecoderConfig() });
agent.warmup(firstFrame); // 2,500 ms with plasticity off, then calibrate
// every emulator frame:
const { active } = agent.tick(framebuffer, { // RGBA 160x144 by default; any size via config
rewards: [{ value: 0.5 }], // scalar rewards your game adapter detected
boot: !inGame, // relaxes Start/Select throttling on title screens
});
emulator.setButtons(toButtonMask(active));
const checkpoint = agent.exportState(); // bit-exact resume, validated on import
The lower layers (LifNetwork, RewardModulatedStdp, PopulationDecoder) are exported too for
hosts that want to run the loop themselves.
integration.md has the full per-frame loop, the fractional frame timing and the checkpoint contract.
Documentation
- Overview: the pipeline, the layer map and the design principles.
- Dataset format: artifacts, CSR layout, weight encoding, every role and its count, fingerprinting, regeneration, license.
- Model: the 1-ms LIF kernel step by step, every default constant, the retina projection, the RNG, state export and version strings.
- Plasticity: edge selection, the eligibility and reinforcement equations, statistics, topology hash and the explicit non-claims.
- Readout: scores, exclusive groups, pulse channels, the blocked-direction cooldown, the Game Boy preset table and checkpoint versions.
- Integration: what a game must provide, the Pokemon Red integration as a worked example, and a sketch of a platformer adapter.
- Limitations: what is not claimed, what is unproven, measured throughput.
- Verification: the oracle-test strategy and what each test file covers.
- Streaming plan: headless capture, Twitch, VM design and the phased plan for a 24/7 stream.
- Artifact builder: how to regenerate and verify
data/fafb-v783. - Data attribution: source, license and citations.
Provenance
The network, plasticity rule, readout, FlyWire pipeline and activity viewer were extracted from
the fly-plays-pokemon prototype so several game demos can share one core. The default
configuration reproduces that prototype's kernel bit for bit, and verbatim copies of its modules
live in packages/brain/tests/legacy/ as oracles. Built with Astra.
Licensing
The data/fafb-v783 artifacts are derived from the FlyWire FAFB public Codex v783 exports and are
licensed CC BY-NC 4.0. That is a
non-commercial license, so a commercial demo needs a different data source or separate permission.
Citations and the list of modifications are in
data/fafb-v783/ATTRIBUTION.md.
No license has been chosen for the code in this repository yet.
ROMs and save states never enter this repository.