Cargando…
Explainable Machine Learning Predictions of Perceptual Sensitivity for Retinal Prostheses
To provide appropriate levels of stimulation, retinal prostheses must be calibrated to an individual’s perceptual thresholds (‘system fitting’), despite thresholds varying drastically across subjects, across electrodes within a subject, and over time. Although previous work has identified electrode-...
Autores principales: | Pogoncheff, Galen, Hu, Zuying, Rokem, Ariel, Beyeler, Michael |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934792/ https://www.ncbi.nlm.nih.gov/pubmed/36798201 http://dx.doi.org/10.1101/2023.02.09.23285633 |
Ejemplares similares
-
The benefits of cholinergic enhancement during perceptual learning are long-lasting
por: Rokem, Ariel, et al.
Publicado: (2013) -
A model of ganglion axon pathways accounts for percepts elicited by retinal implants
por: Beyeler, Michael, et al.
Publicado: (2019) -
Retinal Organoids and Retinal Prostheses: An Overview
por: Bellapianta, Alessandro, et al.
Publicado: (2022) -
Machine learning for OpenCV: a practical introduction to the world of machine learning and image processing using OpenCV and Python
por: Beyeler, Michael
Publicado: (2017) -
Retinal Prostheses and Artificial Vision
por: Özmert, Emin, et al.
Publicado: (2019)