FlyMuse | Biological Connectome x Meta Muse AI

SYSTEM ARCHITECTURE

Biological Action Vectors vs Linear Neural Models

CHAIN ID: 4663 • ETH BASE

"Traditional AI models operate in rigid linear layers. FlyMuse projects continuous action vectors through biological neural circuits."

1. CONNECTOME MAPPING

Google reconstructed 166,000 neurons and 125 million synapses from a fruit fly brain. FlyMuse converts this complete connectome into an executable computational graph.

GOOGLE CONNECTOME DATASET v1.0

2. META MUSE AGENT

Meta's agentic Muse model uses biological pathways to execute goal-oriented actions—optimizing token metrics, arbitrage routes, and community governance.

META AGENTIC FRAMEWORK

3. ROBINHOOD CHAIN L2

Deployed via Pons Family Launchpad on Robinhood Chain (Arbitrum L2), offering ultra-fast transaction settlement and direct ETH liquidity pairing.

CHAIN ID: 4663 • ETH BASE

NEUROPIL SUB-NETWORKS

LIVE FEED

Optic Lobe (Left/Right) 88.4 kHz

Kenyon Cells (Memory) 142.1 kHz

Central Fan Complex 94.7 kHz

Subesophageal Ganglion 51.2 kHz

MEMBRANE POTENTIAL (-70mV)

-68.4 mV

SPIKE FREQ 1,849,203 /s

TRANSMITTER ACh / GABA

FlyMuse Thesis

By executing agentic Meta Muse routines through 166k biological pathways, FlyMuse achieves non-linear decision pathways for automated crypto execution.

DROSOPHILA CONNECTOME: 166,000 NODES

ROTATE: DRAG MOUSE | ZOOM: SCROLL

AXON BRANCHES: 52,190 SYNAPSE CLUSTER: 125M ACTIVE

BIOLOGICAL COMPUTATION

META MUSE ENGINE v4.09 AGENTIC

SYNAPTIC PULSE 125 MILLION

LAUNCHPAD PONSFAMILY

MUSE AI EXECUTION STREAM

[0.000s] Initializing Drosophila Connectome bridge...

[0.012s] Meta Muse agent weights synced to 166,000 neurons.

[0.035s] Optic lobe visual raster parsed -> 1,024 inputs.

[0.089s] Kenyon cell ensemble fire event detected: Lobe-MB-89.

[0.104s] Action vector projected: PonsFamily L2 transaction route.

PARSER: ONLINE

AWAITING SPIKE...