Search Results for author: Jacob Granley

Found 4 papers, 2 papers with code

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

1 code implementation NeurIPS 2023 Jacob Granley, Tristan Fauvel, Matthew Chalk, Michael Beyeler

We show that our approach quickly learns a personalized stimulus encoder, leads to dramatic improvements in the quality of restored vision, and is robust to noisy patient feedback and misspecifications in the underlying forward model.

Bayesian Optimization

Adapting Brain-Like Neural Networks for Modeling Cortical Visual Prostheses

no code implementations27 Sep 2022 Jacob Granley, Alexander Riedel, Michael Beyeler

Overall, this is an essential first step towards building brain-like models of electrical stimulation, which may not just improve the quality of vision provided by cortical prostheses but could also further our understanding of the neural code of vision.

Hybrid Neural Autoencoders for Stimulus Encoding in Visual and Other Sensory Neuroprostheses

no code implementations26 May 2022 Jacob Granley, Lucas Relic, Michael Beyeler

Sensory neuroprostheses are emerging as a promising technology to restore lost sensory function or augment human capabilities.

U-Net with Hierarchical Bottleneck Attention for Landmark Detection in Fundus Images of the Degenerated Retina

1 code implementation9 Jul 2021 Shuyun Tang, Ziming Qi, Jacob Granley, Michael Beyeler

The network consists of a novel bottleneck attention block that combines and refines self-attention, channel attention, and relative-position attention to highlight retinal abnormalities that may be important for fovea and OD segmentation in the degenerated retina.

Fovea Detection Optic Disc Detection +2

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