Temporal pairwise spike correlations fully capture single-neuron information
Temporal pairwise spike correlations fully capture single-neuron information
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DOI：
10.1038/ncomms13805
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发表时间：
2016-12-15
影响因子：
16.6
通讯作者：
Tchumatchenko, Tatjana
中科院分区：
文献类型：
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作者：
Dettner, Amadeus;Muenzberg, Sabrina;Tchumatchenko, Tatjana
要破解神经密码并读出神经尖峰信号传递的信息，必须了解信息是如何编码的，以及有多少信息可用于解码。为此，它是必不可少的，从第一原理推导出一组最小的尖峰功能，包含完整的信息内容的神经元。在这里，我们提出了这样一套完整的编码功能。我们表明，时间成对的尖峰相关性完全确定了由一个单一的尖峰神经元有限的时间记忆和固定的尖峰统计所传达的信息。我们发现，通常被忽视的峰间间隔时间相关性可以显着改变总信息。我们的研究结果提供了许多不同的观察之间的概念联系，并建议将未来研究的重点从解决放电率到解决成对尖峰相关函数作为神经信息的主要决定因素。
To crack the neural code and read out the information neural spikes convey, it is essential to understand how the information is coded and how much of it is available for decoding. To this end, it is indispensable to derive from first principles a minimal set of spike features containing the complete information content of a neuron. Here we present such a complete set of coding features. We show that temporal pairwise spike correlations fully determine the information conveyed by a single spiking neuron with finite temporal memory and stationary spike statistics. We reveal that interspike interval temporal correlations, which are often neglected, can significantly change the total information. Our findings provide a conceptual link between numerous disparate observations and recommend shifting the focus of future studies from addressing firing rates to addressing pairwise spike correlation functions as the primary determinants of neural information.