Scene statistics and noise determine the relative arrangement of receptive field mosaics.

Scene statistics and noise determine the relative arrangement of receptive field mosaics.
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DOI:
10.1073/pnas.2105115118
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发表时间:
2021-09-28
影响因子:
11.1
通讯作者:
Pearson J
Pearson J
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Jun NY;Field GD;Pearson J

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在各种各样的物种中,视网膜中专门用于信号增加(ON)或减少(OFF)的细胞代表了视觉计算的最基本构建块之一。这些细胞协调形成马赛克,每个细胞负责视觉空间的一小部分,最小限度地重叠,但这些马赛克在空间上相互协调的方式相对未知。在这里,我们展示了如何有效的编码理论,假设神经系统最大限度地减少冗余信息的编码量,可以预测相对的空间排列的ON和OFF马赛克。信息效率最高的安排是由系统中的噪声水平和自然图像的统计数据决定的。许多感觉系统利用并行的ON和OFF通路,分别发出刺激增量和减量的信号。这些通路由跨越感觉空间的ON和OFF探测器的集合或网格组成。然而,由对立通路进行的编码提出了一个问题:应该如何安排ON和OFF检测器的网格来最佳地编码自然刺激?我们研究了这个问题,使用的模型,视网膜有效的编码理论指导。具体来说,我们优化了空间感受野和对比度响应函数,以编码给定噪声和受限放电率的自然图像。我们发现,ON和OFF感受野的最佳安排表现出对齐和反对齐网格之间的过渡。优选的相位取决于检测器噪声和自然刺激的统计结构。这些结果表明,噪声和刺激的统计产生质的变化,在神经编码策略,并提供理论预测的配置对手在神经系统中的途径。
Across a wide variety of species, cells in the retina specialized for signaling either increases (ON) or decreases (OFF) in light represent one of the most basic building blocks of visual computation. These cells coordinate to form mosaics, with each cell responsible for a small, minimally overlapping portion of visual space, but the ways in which these mosaics could be spatially coordinated with each other are relatively unknown. Here, we show how efficient coding theory, which hypothesizes that the nervous system minimizes the amount of redundant information it encodes, can predict the relative spatial arrangement of ON and OFF mosaics. The most information-efficient arrangements are determined both by levels of noise in the system and the statistics of natural images. Many sensory systems utilize parallel ON and OFF pathways that signal stimulus increments and decrements, respectively. These pathways consist of ensembles or grids of ON and OFF detectors spanning sensory space. Yet, encoding by opponent pathways raises a question: How should grids of ON and OFF detectors be arranged to optimally encode natural stimuli? We investigated this question using a model of the retina guided by efficient coding theory. Specifically, we optimized spatial receptive fields and contrast response functions to encode natural images given noise and constrained firing rates. We find that the optimal arrangement of ON and OFF receptive fields exhibits a transition between aligned and antialigned grids. The preferred phase depends on detector noise and the statistical structure of the natural stimuli. These results reveal that noise and stimulus statistics produce qualitative shifts in neural coding strategies and provide theoretical predictions for the configuration of opponent pathways in the nervous system.
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