arXiv (All)
open access
FPGAFly: A 166.7k-Neuron Fruit-Fly Connectome on One FPGA via Deferred Spike Expansion and Shared-Codeword States
Synapse-resolution fruit-fly (Drosophila) connectomes enable neuron-by-neuron simulation of entire insect nervous systems, yet whole-brain models still require computationally demanding software or multiple neuromorphic chips, and single FPGAs support only small or statistical networks. Scaling to t
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Sensorimotor behaviour from an untrained brain-and-nerve-cord connectome#1456704
- A neuromorphic model of olfactory processing and sparse coding in the Drosophila larva brain#1299011
- Prediction error drives associative learning and conditioned behavior in a spiking model of Drosophila larva#1299015
- Spatial, temporal and Notch determination of terminal selector expression controls neuronal cell fate in the Drosophila optic lobe#1079376
- Working Memory with Polychronous Chains#1469123
Record · ID 1488910
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive