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本文引用的文献

1
Spatially patterned electrical stimulation to enhance resolution of retinal prostheses.空间模式电刺激增强视网膜假体分辨率。
J Neurosci. 2014 Apr 2;34(14):4871-81. doi: 10.1523/JNEUROSCI.2882-13.2014.
2
Experience-dependent rewiring of specific inhibitory connections in adult neocortex.成年新皮层中特定抑制性连接的经验依赖性重塑。
PLoS Biol. 2014 Feb 25;12(2):e1001798. doi: 10.1371/journal.pbio.1001798. eCollection 2014 Feb.
3
Sensory substitution: closing the gap between basic research and widespread practical visual rehabilitation.感官替代:弥合基础研究与广泛实际视觉康复之间的差距。
Neurosci Biobehav Rev. 2014 Apr;41:3-15. doi: 10.1016/j.neubiorev.2013.11.007. Epub 2013 Nov 23.
4
Fighting blindness with microelectronics.用微电子技术攻克失明难题。
Sci Transl Med. 2013 Nov 6;5(210):210ps16. doi: 10.1126/scitranslmed.3007399.
5
Photodiode circuits for retinal prostheses.用于视网膜假体的光电二极管电路。
IEEE Trans Biomed Circuits Syst. 2011 Oct;5(5):468-80. doi: 10.1109/TBCAS.2011.2144980.
6
Electrical induction of vision.视觉的电感应。
Neurosci Biobehav Rev. 2013 Jun;37(5):803-18. doi: 10.1016/j.neubiorev.2013.03.012. Epub 2013 Mar 25.
7
Cortical plasticity induced by spike-triggered microstimulation in primate somatosensory cortex.灵长类动物体感皮层中由尖峰触发微刺激诱导的皮层可塑性。
PLoS One. 2013;8(3):e57453. doi: 10.1371/journal.pone.0057453. Epub 2013 Mar 5.
8
A strong constraint to the joint processing of pairs of cortical signals.对皮质信号对联合处理的强约束。
J Neurosci. 2012 Nov 7;32(45):15922-33. doi: 10.1523/JNEUROSCI.2186-12.2012.
9
Adult visual cortical plasticity.成人视觉皮层可塑性。
Neuron. 2012 Jul 26;75(2):250-64. doi: 10.1016/j.neuron.2012.06.030.
10
Behavioral and neural correlates of visuomotor adaptation observed through a brain-computer interface in primary motor cortex.在初级运动皮层中通过脑机接口观察到的视觉运动适应的行为和神经相关性。
J Neurophysiol. 2012 Jul;108(2):624-44. doi: 10.1152/jn.00371.2011. Epub 2012 Apr 11.

皮质放大率加上皮质可塑性等于视觉吗?

Cortical magnification plus cortical plasticity equals vision?

作者信息

Born Richard T, Trott Alexander R, Hartmann Till S

机构信息

Dept. of Neurobiology, Harvard Medical School, United States; Center for Brain Science, Harvard University, United States.

Dept. of Neurobiology, Harvard Medical School, United States; Harvard PhD Program in Neuroscience, United States.

出版信息

Vision Res. 2015 Jun;111(Pt B):161-9. doi: 10.1016/j.visres.2014.10.002. Epub 2014 Oct 16.

DOI:10.1016/j.visres.2014.10.002
PMID:25449335
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4400204/
Abstract

Most approaches to visual prostheses have focused on the retina, and for good reasons. The earlier that one introduces signals into the visual system, the more one can take advantage of its prodigious computational abilities. For methods that make use of microelectrodes to introduce electrical signals, however, the limited density and volume occupying nature of the electrodes place severe limits on the image resolution that can be provided to the brain. In this regard, non-retinal areas in general, and the primary visual cortex in particular, possess one large advantage: "magnification factor" (MF)-a value that represents the distance across a sheet of neurons that represents a given angle of the visual field. In the foveal representation of primate primary visual cortex, the MF is enormous-on the order of 15-20 mm/deg in monkeys and humans, whereas on the retina, the MF is limited by the optical design of the eye to around 0.3m m/deg. This means that, for an electrode array of a given density, a much higher-resolution image can be introduced into V1 than onto the retina (or any other visual structure). In addition to this tremendous advantage in resolution, visual cortex is plastic at many different levels ranging from a very local ability to learn to better detect electrical stimulation to higher levels of learning that permit human observers to adapt to radical changes to their visual inputs. We argue that the combination of the large magnification factor and the impressive ability of the cerebral cortex to learn to recognize arbitrary patterns, might outweigh the disadvantages of bypassing earlier processing stages and makes V1 a viable option for the restoration of vision.

摘要

大多数视觉假体的研究都聚焦于视网膜,这是有充分理由的。信号越早引入视觉系统,就越能利用其强大的计算能力。然而,对于利用微电极引入电信号的方法而言,电极有限的密度和占据空间的特性严重限制了能够提供给大脑的图像分辨率。在这方面,一般的非视网膜区域,尤其是初级视觉皮层,具有一个很大的优势:“放大因子”(MF)——一个表示代表视野中给定角度的一片神经元的跨距的值。在灵长类动物初级视觉皮层的中央凹表征中,放大因子非常大——在猴子和人类中约为15 - 20毫米/度,而在视网膜上,放大因子受眼睛的光学设计限制,约为0.3微米/度。这意味着,对于给定密度的电极阵列,可以将分辨率高得多的图像引入V1,而不是引入视网膜(或任何其他视觉结构)。除了在分辨率方面的巨大优势外,视觉皮层在许多不同层面都具有可塑性,从非常局部的学习以更好地检测电刺激的能力,到更高层次的学习,使人类观察者能够适应视觉输入的剧烈变化。我们认为,放大因子大以及大脑皮层识别任意模式的惊人能力相结合,可能会超过绕过早期处理阶段的缺点,使V1成为恢复视力的可行选择。