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回弹尖峰作为一种表面填充的神经机制。

Rebound spiking as a neural mechanism for surface filling-in.

机构信息

Department of Basic Psychology, Faculty of Psychology, University of Barcelona, Barcelona, Spain.

出版信息

J Cogn Neurosci. 2011 Feb;23(2):491-501. doi: 10.1162/jocn.2010.21512. Epub 2010 Apr 30.

DOI:10.1162/jocn.2010.21512
PMID:20433239
Abstract

Perceptual filling-in is the phenomenon where visual information is perceived although information is not physically present. For instance, the blind spot, which corresponds to the retinal location where there are no photoreceptor cells to capture the visual signals, is filled-in by the surrounding visual signals. The neural mechanism for such immediate filling-in of surfaces is unclear. By means of computational modeling, we show that surround inhibition produces rebound or after-discharge spiking in neurons that otherwise do not receive sensory information. The behavior of rebound spiking mimics the immediate surface filling-in illusion observed at the blind spot and also reproduces the filling-in of an empty object after a background flash, like in the color dove illusion. In conclusion, we propose rebound spiking as a possible neural mechanism for surface filling-in.

摘要

感知填补是一种现象,即尽管没有物理存在的信息,但仍能感知到视觉信息。例如,盲点对应于视网膜上没有光感受器细胞来捕捉视觉信号的位置,它被周围的视觉信号所填补。这种表面即时填补的神经机制尚不清楚。通过计算建模,我们表明,周围抑制会在那些本来没有接收感觉信息的神经元中产生反弹或后放电尖峰。反弹尖峰的行为模拟了在盲点处观察到的即时表面填补错觉,也再现了在背景闪光后对空对象的填补,就像在颜色鸽子错觉中一样。总之,我们提出反弹尖峰作为表面填补的一种可能的神经机制。

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Stimulus detection after interruption of the feedforward response in a backward masking paradigm.在反向掩蔽范式中,前馈反应中断后的刺激检测。
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Noise destroys feedback enhanced figure-ground segmentation but not feedforward figure-ground segmentation.
噪声会破坏反馈增强的图形-背景分割,但不会破坏前馈图形-背景分割。
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Masking of figure-ground texture and single targets by surround inhibition: a computational spiking model.掩蔽图形-背景纹理和单目标的周围抑制:一个计算尖峰模型。
PLoS One. 2012;7(2):e31773. doi: 10.1371/journal.pone.0031773. Epub 2012 Feb 29.
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Feedback enhances feedforward figure-ground segmentation by changing firing mode.反馈通过改变发放模式增强前馈的图形-背景分割。
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