arXiv (All)
open access
Training-Free Stimulus Encoding for Retinal Implants via Sparse Projected Gradient Descent
Retinal implants aim to restore functional vision despite photoreceptor degeneration, yet are fundamentally constrained by low resolution electrode arrays and patient-specific perceptual distortions. Most deployed encoders rely on task-agnostic downsampling and linear brightness-to-amplitude mapping
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
- In vivo adaptive optics retinal imaging reveals rod-mediated cone photoreceptor disorganization in RHO-associated retinitis pigmentosa#684648
- Decoupling Retinal Input from its Physiological Constraints#634763
- Argus II Retinal Prosthesis System - Better Vision RP Study#1088490
- Adaptive Optics Retinal Imaging#303635
- Full-Model Optimality for Tunable Linear Generative Priors in Compressed Sensing#924919
Record · ID 1076815
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