Adaptive filtering enhances information transmission in visual cortex
Adaptive filtering enhances information transmission in visual cortex
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DOI：
10.1038/nature04519
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发表时间：
2006-02-23
期刊：
影响因子：
64.8
通讯作者：
Miller, KD
中科院分区：
文献类型：
--
作者：
Sharpee, TO;Sugihara, H;Miller, KD
感觉神经科学旨在了解大脑如何编码自然环境。然而，神经编码在很大程度上是使用简化的刺激来研究的。为了评估大脑的编码策略是否依赖于刺激合奏，我们采用了一种新的信息理论方法，允许无偏计算神经过滤器（感受野）的反应，自然场景或其他复杂的信号与强多点相关性。在猫的初级视觉皮层，我们比较自然输入与噪声输入匹配的亮度和对比度的反应。我们发现，神经滤波器自适应地改变与输入合奏，以增加所携带的信息的神经反应有关的过滤刺激。自适应影响滤波器的空间频率组成，增强对与最佳编码参数一致的未充分代表的频率的灵敏度。适应发生在40秒到许多分钟之间，比以前报道的大多数适应形式都要长.
Sensory neuroscience seeks to understand how the brain encodes natural environments. However, neural coding has largely been studied using simplified stimuli. In order to assess whether the brain's coding strategy depends on the stimulus ensemble, we apply a new information-theoretic method that allows unbiased calculation of neural filters (receptive fields) from responses to natural scenes or other complex signals with strong multipoint correlations. In the cat primary visual cortex we compare responses to natural inputs with those to noise inputs matched for luminance and contrast. We find that neural filters adaptively change with the input ensemble so as to increase the information carried by the neural response about the filtered stimulus. Adaptation affects the spatial frequency composition of the filter, enhancing sensitivity to under-represented frequencies in agreement with optimal encoding arguments. Adaptation occurs over 40 s to many minutes, longer than most previously reported forms of adaptation.