Psychophysical test of a tunable retina encoder for retina implants

Psychophysical test of a tunable retina encoder for retina implants
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用于视网膜植入的可调视网膜编码器的心理物理测试

DOI:
10.1109/ijcnn.1999.831483
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发表时间:
1999
期刊:
IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)
影响因子:
--
通讯作者:
R. Hünermann
R. Hünermann
中科院分区:
--
文献类型:
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作者:
Michael Becker;R. Eckmiller;R. Hünermann

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学习型视网膜植入物作为视网膜变性失明受试者的视觉假体,基于感知的调节程序在视力正常的受试者中进行了测试。具有 256 个可调谐时空感受野 (RF) 滤波器的模拟视网膜编码器 (RE) 通过时空视觉模式进行刺激。 RE 输出脉冲率被馈送到反演模块 (IM) 以实时再现相应的输入模式。最初,IM 被训练为给定 RE 状态 S 生成 RE 映射的逆近似值,从而在时空 RE 输入和 IM 输出模式之间产生密切的相似性。随后,S 被任意改变,从而极大地增加了期望模式和感知模式之间的差异。开发了一种基于进化策略的学习算法,根据人类反馈迭代调整 RE。
The perception-based tuning procedure of a learning retina implant as a visual prosthesis for blind subjects with retinal degeneration was tested in subjects with normal vision. A simulated retina encoder (RE) with 256 tunable spatiotemporal receptive field (RF) filters was stimulated by spatiotemporal visual patterns. RE output impulse rate was fed into an inversion module (IM) to reproduce the corresponding input pattern in real time. Initially, IM was trained to generate an approximation of the inverse of the RE mapping for a given RE state S, so as to yield a close similarity between spatiotemporal RE input and IM output patterns. Subsequently, S was arbitrarily changed thus drastically increasing the difference between desired and perceived pattern. A learning algorithm based on evolution strategies was developed to adjust RE iteratively with human feedback.