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👁️⚡ Headed to #EMBC2025? Catch two of our lab’s talks on optimizing retinal implants! 📍 Sensory Neuroprostheses 🗓️ Thurs July 17 · 8-10AM · Room B3 M3-4 🧠 Efficient threshold estimation 🧑🔬 Deep human-in-the-loop optimization 🔗 embc.embs.org/2025/program/ #BionicVision #NeuroTech #IEEE #EMBS #Retina

embc.embs.orgProgram – EMBC 2025Loading...

Bionic Vision Lab

@bionicvisionlab.org

🎓 Proud of our undergrad(!) Eirini Schoinas for leading this: bionicvisionlab.org/publications... 🧠 Human-in-the-loop optimization (HILO) works in silico—but does it hold up with real people? ✅ HILO outperformed naïve and deep encoders 🔁 A step toward personalized #BionicVision #EMBC2025

bionicvisionlab.orgEvaluating deep human-in-the-loop optimization for retinal implants using sighted participants | Bionic Vision LabWe evaluate HILO using sighted participants viewing simulated prosthetic vision to assess its ability to optimize stimulation strategies under realistic conditions.

13/7/25, 5:24 pm0 reposts1 like

Bionic Vision Lab

@bionicvisionlab.org

13 July 2025

🧠 Building on Roksana Sadeghi’s work: Calibrating retinal implants is slow and tedious. Can Gaussian Process Regression (GPR) guide smarter sampling? ✅ GPR + spatial sampling = fewer trials, same accuracy 🔁 Toward faster, personalized calibration 🔗 bionicvisionlab.org/publications... #EMBC2025

bionicvisionlab.orgEfficient spatial estimation of perceptual thresholds for retinal implants via Gaussian process regression | Bionic Vision LabWe propose a Gaussian Process Regression (GPR) framework to predict perceptual thresholds at unsampled locations while leveraging uncertainty estimates to guide adaptive sampling.