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自然视觉中上下文影响的灵活门控

Flexible gating of contextual influences in natural vision.

作者信息

Coen-Cagli Ruben, Kohn Adam, Schwartz Odelia

机构信息

D.P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, New York, USA.

Department of Ophthalmology and Visual Sciences, Albert Einstein College of Medicine, Bronx, New York, USA.

出版信息

Nat Neurosci. 2015 Nov;18(11):1648-55. doi: 10.1038/nn.4128. Epub 2015 Oct 5.

Abstract

Identical sensory inputs can be perceived as markedly different when embedded in distinct contexts. Neural responses to simple stimuli are also modulated by context, but the contribution of this modulation to the processing of natural sensory input is unclear. We measured surround suppression, a quintessential contextual influence, in macaque primary visual cortex with natural images. We found that suppression strength varied substantially for different images. This variability was not well explained by existing descriptions of surround suppression, but it was predicted by Bayesian inference about statistical dependencies in images. In this framework, surround suppression was flexible: it was recruited when the image was inferred to contain redundancies and substantially reduced in strength otherwise. Thus, our results reveal a gating of a basic, widespread cortical computation by inference about the statistics of natural input.

摘要

相同的感觉输入嵌入不同的情境中时,可能会被感知为明显不同。对简单刺激的神经反应也会受到情境的调节,但这种调节对自然感觉输入处理的贡献尚不清楚。我们用自然图像在猕猴初级视觉皮层中测量了环绕抑制,这是一种典型的情境影响。我们发现,不同图像的抑制强度差异很大。现有的环绕抑制描述并不能很好地解释这种变异性,但通过对图像统计依赖性的贝叶斯推理可以预测到这种变异性。在此框架下,环绕抑制是灵活的:当推断图像包含冗余信息时会启用环绕抑制,否则强度会大幅降低。因此,我们的结果揭示了通过对自然输入统计信息的推理对一种基本的、广泛存在的皮层计算的门控作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f41/4624479/c4049c93ab20/nihms721927f1.jpg

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