Responses of neurons in the inferior colliculus to binaural disparities: Insights from the use of Fisher information and mutual information

Responses of neurons in the inferior colliculus to binaural disparities: Insights from the use of Fisher information and mutual information
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DOI:
10.1016/j.jneumeth.2007.11.005
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发表时间:
2008-04-30
影响因子:
3
通讯作者:
Nelken, Israel
Nelken, Israel
中科院分区:
医学4区
文献类型:
--
作者:
Gordon, Noam;Shackleton, Trevor M.;Nelken, Israel

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神经元可检测到的刺激属性的最小变化通常使用受试者工作特征(ROC)曲线进行量化,但最近的研究引入了相关Fisher信息(FI)的使用。虽然ROC分析和FI量化了可用于区分两个刺激的信息,但神经元所携带的信息的全局方面由刺激和响应之间的互信息(MI)量化。FI和MI已被证明是相互关联的,当FI是大的。本文分析了麻醉豚鼠下丘神经元对不同耳间时间差(ITD)或双耳相关性(BC)的声音集合的反应。虽然FI并不是一致的大,但MI和FI之间有很强的关系。信息理论的措施被用来证明这些响应的非泊松统计的重要性。这些神经元可能反映了最大化的MI之间的刺激和反应的约束下的编码的刺激范围和范围的放电率。值得注意的是,虽然MI的最大化,结合尖峰序列的非泊松统计,足以创建其ITD辨别能力接近行为极限的神经元,但相同的规则并不能实现接近行为性能的单神经元BC辨别。(c)2007 Elsevier B.V.保留所有权利。
The minimal change in a stimulus property that is detectable by neurons has been often quantified using the receiver operating characteristic (ROC) curve, but recent studies introduced the use of the related Fisher information (FI). Whereas ROC analysis and FI quantify the information available for discriminating between two stimuli, global aspects of the information carried by a neuron are quantified by the mutual information (MI) between stimuli and responses. FI and MI have been shown to be related to each other when FI is large. Here the responses of neurons recorded in the inferior colliculus of anesthetized guinea pigs in response to ensembles of sounds differing in their interaural time differences (ITDs) or binaural correlation (BC) were analyzed. Although the FI is not uniformly large, there are strong relationships between MI and FI. Information-theoretic measures are used to demonstrate the importance of the non-Poisson statistics of these responses. These neurons may reflect the maximization of the MI between stimuli and responses under constraints on the coded stimulus range and the range of firing rates. Remarkably, whereas the maximization of MI, in conjunction with the non-Poisson statistics of the spike trains, is enough to create neurons whose ITD discrimination capabilities are close to the behavioral limits, the same rule does not achieve single-neuron BC discrimination that is as close to behavioral performance. (c) 2007 Elsevier B.V. All rights reserved.