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Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses

NeurIPS 2023 · Probabilistic and scientific modeling › Bayesian optimization · approach: Multi-fidelity hyperparameter optimization · 5 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use HILO to personalize the DSE using patient preference duelsDSE stimulus encoding · MNIST test, simulated patientsreconstruction error: DSE-φGuess: between .25 and 1.1; HILO: .071 ± .0031Helped
Use HILO to personalize the DSE using patient preference duelsDSE stimulus encoding · MNIST test, simulated patientsMNIST accuracy: DSE-φGuess: between 58.6% and 78.3%; HILO: 92% ± 1.0%Helped
Replace the naive encoder with a DSE supplied with true patient parametersVisual prosthesis stimulus encoding · MNIST testperceptual loss: 5.68 -> 0.05Helped
Replace the naive encoder with a DSE supplied with true patient parametersVisual prosthesis stimulus encoding · MNIST testMNIST accuracy: 51% -> 95.6%Helped
Use the proposed phosphene formulation instead of Granley et al.Phosphene model · Electrode Location S1, S2, and S3shape evaluation score: S1: 2.43 -> 0.28; S2: 7.07 -> 0.57; S3: 1.15 -> 0.38Helped
Use the proposed phosphene formulation instead of Granley et al.Phosphene model · Stimulus Parameters 4A, 4B, 4C, and 5mean squared error: 4A: 0.9 -> 0.73; 4B: 2.1 -> 2.3; 4C: 0.16 -> 0.1; 5: 49.5 -> 48.6Mixed
Increase simulated patient feedback noise to σ=0.05 (ablation)HILO · MNIST test, simulated patientsreconstruction errorMixed
Use a misspecified axon trajectory in the encoder's forward model (ablation)HILO · Simulated patients with varied axon trajectoriesreconstruction errorNo clear effect
Use incorrect stimulation thresholds in the encoder's forward model (ablation)HILO · Simulated patients with threshold misspecificationreconstruction errorHurt
Optimize HILO for patient parameters outside the encoder's training ranges (ablation)HILO · Out-of-distribution simulated patientsreconstruction errorMixed
Use Matérn 5/2 rather than the other tested GP kernels (ablation)HILO preference model · 20 simulated patientsreconstruction errorHelped
Use patient-optimal rather than transfer-selected GP hyperparameters (ablation)HILO preference model · 20 simulated patientsfinal reconstruction error: p>.05No clear effect

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