Learning to see again: Perceptual learning of simulated abnormal on- off-cell population responses in sighted individuals.

Learning to see again: Perceptual learning of simulated abnormal on- off-cell population responses in sighted individuals.
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DOI:
10.1167/jov.21.13.10
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发表时间:
2021-12-01
期刊:
影响因子:
1.8
通讯作者:
Fine I
Fine I
中科院分区:
医学4区
文献类型:
--
作者:
Esquenazi RB;Meier K;Beyeler M;Boynton GM;Fine I

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许多形式的人工视力恢复,如电子植入物和光遗传蛋白,通常会导致同时,而不是互补的发射中心和偏离中心的视网膜细胞。在这里,使用虚拟的病人-视力的个人观看扭曲的输入-我们研究可塑性是否可以补偿异常的神经元群体反应。五名参与者分别呈现原始图像和对比度反转图像的组合。使用傅立叶空间中的径向棋盘格(F)及其逆(F)对每个图像(I)及其对比度反转(I)进行滤波。[I * F′] + [I * F]呈现给一只眼睛,[I * F] + [I * F′]呈现给另一只眼睛,使得在一只眼睛中产生中心响应的图像区域在另一只眼睛中产生偏离中心的响应,反之亦然。参与者在20个一小时的会议上不断提高自然物体的歧视任务。训练前和训练后的测试表明,性能的提高是由于两个学习过程:学习识别具有减少的视觉信息的对象,以及学习以非眼睛选择性的方式抑制对比度反转的图像信息。这些结果表明,通过训练,有可能适应由电子和光遗传学视力恢复技术产生的非自然的开细胞和关细胞群体反应。
Many forms of artificial sight recovery, such as electronic implants and optogenetic proteins, generally cause simultaneous, rather than complementary firing of on- and off-center retinal cells. Here, using virtual patients—sighted individuals viewing distorted input—we examine whether plasticity might compensate for abnormal neuronal population responses. Five participants were dichoptically presented with a combination of original and contrast-reversed images. Each image (I) and its contrast-reverse (Iʹ) was filtered using a radial checkerboard (F) in Fourier space and its inverse (Fʹ). [I * F′] + [Iʹ * F] was presented to one eye, and [I * F] + [Iʹ * F′] was presented to the other, such that regions of the image that produced on-center responses in one eye produced off-center responses in the other eye, and vice versa. Participants continuously improved in a naturalistic object discrimination task over 20 one-hour sessions. Pre-training and post-training tests suggest that performance improvements were due to two learning processes: learning to recognize objects with reduced visual information and learning to suppress contrast-reversed image information in a non–eye-selective manner. These results suggest that, with training, it may be possible to adapt to the unnatural on- and off-cell population responses produced by electronic and optogenetic sight recovery technologies.
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