A Computational Model of Phosphene Appearance for Epiretinal Prostheses.
A Computational Model of Phosphene Appearance for Epiretinal Prostheses.
复制标题
DOI：
10.1109/embc46164.2021.9629663
复制
发表时间：
2021-11
期刊：
影响因子：
--
通讯作者：
中科院分区：
文献类型：
--
作者：
视网膜神经假体是FDA批准的致盲性退行性疾病的唯一治疗选择。一个主要的突出挑战是开发一个计算模型，可以准确地预测在广泛的电刺激引起的视觉感知（光幻视）。在这里，我们提出了一个现象学模型，预测光幻视外观作为刺激幅度，频率和脉冲持续时间的函数。该模型使用视网膜中神经纤维束的模拟图来产生具有准确亮度、大小、方向和伸长的光幻视。我们验证了模型的心理物理数据从两个独立的研究，表明它概括以及新的数据，即使不同的刺激和不同的电极。虽然以前的模型集中在空间或时间方面的孤立引起的光幻视，我们描述了一个更全面的方法，能够占许多报告的视觉效果。该模型具有灵活性和可扩展性，可以适应特定用户的数据。总的来说，这项工作是在广泛的刺激下预测视网膜假体使用者视觉结果的重要的第一步。
Retinal neuroprostheses are the only FDA-approved treatment option for blinding degenerative diseases. A major outstanding challenge is to develop a computational model that can accurately predict the elicited visual percepts (phosphenes) across a wide range of electrical stimuli. Here we present a phenomenological model that predicts phosphene appearance as a function of stimulus amplitude, frequency, and pulse duration. The model uses a simulated map of nerve fiber bundles in the retina to produce phosphenes with accurate brightness, size, orientation, and elongation. We validate the model on psychophysical data from two independent studies, showing that it generalizes well to new data, even with different stimuli and on different electrodes. Whereas previous models focused on either spatial or temporal aspects of the elicited phosphenes in isolation, we describe a more comprehensive approach that is able to account for many reported visual effects. The model is designed to be flexible and extensible, and can be fit to data from a specific user. Overall this work is an important first step towards predicting visual outcomes in retinal prosthesis users across a wide range of stimuli.