arXiv (All)
open access
From the Drosophila Visual Connectome to General-Purpose Computer Vision
Biological connectomes encode structured solutions to visual computation that may provide reusable inductive biases for artificial vision. We develop ConnectomeX around FlyVision, a trainable architecture that preserves parallel ON/OFF processing, recurrent computation and population-level graph int
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
- Procedural Core: A Compact Recurrent Initialization for Vision Transformers#1141945
- Muon Learns More Robust and Transferable Features than Adam#267662
- Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing#19788
- Training Crossroads for Recurrent Vision Transformers: Recurrence, Neural ODEs, and Deep Supervision#429379
- RepFlow: Reciprocal Supervision Improves Generation and Representation in Flow Models#1117929
Record · ID 1218153
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