相关实验视频

Updated: Jul 1, 2025

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.7K

可解释的机器学习对视网膜假肢感知敏感性的预测.

Galen Pogoncheff1, Zuying Hu1, Ariel Rokem2,3

  • 1Department of Computer Science, University of California, Santa Barbara, CA, United States of America.

Journal of neural engineering
|March 7, 2024
PubMed
概括

机器学习模型准确地预测视网膜假肢的视觉感知值,改善系统的适配. 可解释的人工智能识别了年龄和电极距离等关键因素,增强了视觉结果预测.

关键词:
亚格斯二号是阿格斯二号.电极停用 电极停用 电极停用可以解释的人工智能AI感知值 感知值 感知值视网膜假肢是一种视网膜假肢.

更多相关视频

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision09:29

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

13.1K
Visualizing Visual Adaptation04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

9.0K

相关概念视频

Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category,...
6.0K