We showed recently that exposure to whisker vibrations enhances coding efficiency in rat barrel cortex despite increasing correlations in variability (Adibi et al., 2013). Here, to understand how adaptation achieves this improvement in sensory representation, we decomposed the stimulus information carried in neuronal population activity into its fundamental components in the framework of information theory. In the context of sensory coding, these components are the entropy of the responses across the entire stimulus set (response entropy) and the entropy of the responses conditional on the stimulus (conditional response entropy). We found that adaptation decreased response entropy and conditional response entropy at both the level of single neurons and the pooled activity of neuronal populations. However, the net effect of adaptation was to increase the mutual information because the drop in the conditional entropy outweighed the drop in the response entropy. The information transmitted by a single spike also increased under adaptation. As population size increased, the information content of individual spikes declined but the relative improvement attributable to adaptation was maintained.

译文

我们最近表明,尽管变异性之间的相关性增加,但暴露于晶须振动仍可提高大鼠桶皮层中的编码效率 (Adibi等,2013)。在这里,为了了解适应如何实现感官表现的这种改善,我们在信息论的框架内将神经元群体活动中携带的刺激信息分解为其基本组成部分。在感官编码的上下文中,这些成分是整个刺激集的响应的熵 (响应熵) 和以刺激为条件的响应的熵 (条件响应熵)。我们发现,适应在单个神经元水平和神经元群体的合并活动上都降低了响应熵和条件响应熵。但是,适应的净效果是增加互信息,因为条件熵的下降超过了响应熵的下降。在适应的情况下,单个峰值传输的信息也会增加。随着人口规模的增加,单个峰值的信息含量下降,但归因于适应的相对改善得以保持。

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