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首页> 外文期刊>Neuron >Activity Correlations between Direction-Selective Retinal Ganglion Cells Synergistically Enhance Motion Decoding from Complex Visual Scenes
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Activity Correlations between Direction-Selective Retinal Ganglion Cells Synergistically Enhance Motion Decoding from Complex Visual Scenes

机译:方向选择性视网膜神经节细胞之间的活动相关性协同增强复杂视觉场景的运动解码

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摘要

Neurons in sensory systems are often tuned to particular stimulus features. During complex naturalistic stimulation, however, multiple features may simultaneously affect neuronal responses, which complicates the readout of individual features. To investigate feature representation under complex stimulation, we studied how direction-selective ganglion cells in salamander retina respond to texture motion where direction, velocity, and spatial pattern inside the receptive field continuously change. We found that the cells preserve their direction preference under this stimulation, yet their direction encoding becomes ambiguous due to simultaneous activation by luminance changes. The ambiguities can be resolved by considering populations of direction-selective cells with different preferred directions. This gives rise to synergistic motion decoding, yielding more information from the population than the summed information from single-cell responses. Strong positive response correlations between cells with different preferred directions amplify this synergy. Our results show how correlated population activity can enhance feature extraction in complex visual scenes.
机译:感觉系统中的神经元通常调谐到特定的刺激特征。然而,在复杂的自然主义刺激期间,多种特征可以同时影响神经元响应,这使得个人特征的读数复杂化。为了在复杂刺激下调查特征表示,我们研究了蝾螈视网膜中的方向选择性神经节细胞如何响应接受场内的方向,速度和空间图案在不断变化的方向,速度和空间图案中响应纹理运动。我们发现细胞在该刺激下保持它们的方向偏好,但由于亮度变化同时激活,它们的方向编码变得模糊。通过考虑具有不同优选方向的方向选择性细胞的群体,可以解决歧义。这引起了协同运动解码,从人群中产生了来自单细胞响应的总和信息的更多信息。具有不同优选方向的细胞之间的强阳性响应相关性放大了这种协同作用。我们的结果表明,相关人口活动如何增强复杂视觉场景中的特色提取。

著录项

  • 来源
    《Neuron 》 |2019年第5期| 共21页
  • 作者单位

    Univ Med Ctr Gottingen Dept Ophthalmol D-37073 Gottingen Germany;

    Univ Med Ctr Gottingen Dept Ophthalmol D-37073 Gottingen Germany;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 神经病学 ;
  • 关键词

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