首页> 外文会议>Biocomputing and Emergent Computation Conference Skovde, Sweden 1-2 September 1997 >Towards Learning Retina Implants for Partial Compensation of Retinal Degenerations
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Towards Learning Retina Implants for Partial Compensation of Retinal Degenerations

机译:旨在学习视网膜植入物以部分补偿视网膜变性。

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The development of retina implants for blind humans suffering from various retinal degenerative diseases is the ambitious goal of several interdisciplinary research consortia worldwide. A retina encoder (RE) outside the eye has to replace the information processing of the retina. A retina stimulator (RS) implanted adjacent to the retinal ganglion cell layer at the retinal 'output', has to contact a sufficient number of retinal ganglion cells for electrical stimulation. A wireless signal- and energy transmission system (SE) has to provide the communication between RE and RS. RE consists of a group of adaptive spatiotemporal filters (RF-filters), which can be 'tuned' to various spatial and temporal receptive field (RF) properties of primate retinal ganglion cells during a learning phase. RE adaptation requires a dialog between the implant-carrying subject and the corresponding RE via a neural net.
机译:为患有各种视网膜退行性疾病的盲人开发视网膜植入物是全球数个跨学科研究联盟的宏伟目标。眼睛外部的视网膜编码器(RE)必须替换视网膜的信息处理。在视网膜“输出”处邻近视网膜神经节细胞层植入的视网膜刺激器(RS)必须接触足够数量的视网膜神经节细胞以进行电刺激。无线信号和能量传输系统(SE)必须提供RE和RS之间的通信。 RE由一组​​自适应时空滤波器(RF滤波器)组成,可以在学习阶段将其“调谐”到灵长类视网膜神经节细胞的各种时空感受野(RF)特性。 RE的适应需要通过神经网络在携带植入物的受试者和相应的RE之间进行对话。

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