Coding of the contrasts in natural images by populations of neurons in primary visual cortex (V1)
Coding of the contrasts in natural images by populations of neurons in primary visual cortex (V1)
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DOI：
10.1016/s0042-6989(03)00277-3
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发表时间：
2003-08-01
期刊：
影响因子：
1.8
通讯作者：
Tolhurst, DJ
中科院分区：
文献类型：
--
作者：
Clatworthy, PL;Chirimuuta, M;Tolhurst, DJ
可以区分 300 倍对比度范围内的光栅对比度，而 VI 神经元的动态范围非常有限。使用具有来自电生理学研究（猫和猕猴）的对比反应参数的模型神经元群体，我们研究了在整个范围内组合对代码对比反应的方法。一个模型实现了一个池化规则，该规则保留了有关个体响应模式的信息。第二个不加区别地总结回应。我们测量了各种对比度下对比度识别的准确性，发现第一个模型更准确；该模型的实际对比度和估计对比度之间的互信息也最大。猫神经元群体的准确度峰值与自然图像中对比度分布的峰值一致，表明生态匹配。猕猴神经元似乎能够更好地编码平均对比度略高于自然环境中的对比度。 (C) 2003 Elsevier Science Ltd. 保留所有权利。
It is possible to discriminate between grating contrasts over a 300-fold contrast range, whereas VI neurons have very limited dynamic ranges. Using populations of model neurons with contrast-response parameters taken from electrophysiological studies (cat and macaque), we investigated ways of combining responses to code contrast over the full range. One model implemented a pooling rule that retained information about individual response patterns. The second summed responses indiscriminately. We measured accuracy of contrast identification over a wide range of contrasts and found the first model to be more accurate; the mutual information between actual and estimated contrast was also greatest for this model. The accuracy peak for the population of cat neurons coincided with the peak of the distribution of contrasts in natural images, suggesting an ecological match. Macaque neurons seem better able to code contrasts that are slightly higher on average than those found in the natural environment. (C) 2003 Elsevier Science Ltd. All rights reserved.