Cluster-based analysis improves predictive validity of spike-triggered receptive field estimates.
Cluster-based analysis improves predictive validity of spike-triggered receptive field estimates.
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DOI：
10.1371/journal.pone.0183914
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发表时间：
2017
期刊：
影响因子：
3.7
通讯作者：
Malone BJ
中科院分区：
文献类型：
--
作者：
Bigelow J;Malone BJ
谱时感受野（STRF）表征是听觉生理学的一个核心目标。STRF通常由尖峰触发平均值（STA）近似，其反映尖峰之前的平均刺激。在许多情况下，原始STA经受由偶然预期的增益值定义的阈值。然而，这样的校正方法还没有被普遍采用，具体的增益阈值方法的后果还没有被系统地研究。在这里，我们评估了两类统计校正技术，使用由此产生的STRF估计来预测对新的验证刺激的反应。第一，更传统的技术消除了STRF像素（时频箱）与增益值的预期机会。这种校正方法显著提高了预测精度，包括为每个单元优化阈值设置时。第二种技术是一个两步阈值处理过程，其中幸存的初始增益阈值的连续像素的集群，然后进行集群质量阈值的基础上求和的像素值。这种方法即使在最好的增益阈值技术上也有显著的改进。额外的分析表明，允许阈值设置独立变化的STRF的兴奋性和抑制性子字段导致只有边际额外的收益，在最好的。总之，增强反向相关技术与原则性的统计校正选择增加了预测精度超过80%的多单元的STRF和超过40%的单单元的STRF，进一步的解释相关性恢复的spectrotemporal滤波器的听觉系统分析。
Spectrotemporal receptive field (STRF) characterization is a central goal of auditory physiology. STRFs are often approximated by the spike-triggered average (STA), which reflects the average stimulus preceding a spike. In many cases, the raw STA is subjected to a threshold defined by gain values expected by chance. However, such correction methods have not been universally adopted, and the consequences of specific gain-thresholding approaches have not been investigated systematically. Here, we evaluate two classes of statistical correction techniques, using the resulting STRF estimates to predict responses to a novel validation stimulus. The first, more traditional technique eliminated STRF pixels (time-frequency bins) with gain values expected by chance. This correction method yielded significant increases in prediction accuracy, including when the threshold setting was optimized for each unit. The second technique was a two-step thresholding procedure wherein clusters of contiguous pixels surviving an initial gain threshold were then subjected to a cluster mass threshold based on summed pixel values. This approach significantly improved upon even the best gain-thresholding techniques. Additional analyses suggested that allowing threshold settings to vary independently for excitatory and inhibitory subfields of the STRF resulted in only marginal additional gains, at best. In summary, augmenting reverse correlation techniques with principled statistical correction choices increased prediction accuracy by over 80% for multi-unit STRFs and by over 40% for single-unit STRFs, furthering the interpretational relevance of the recovered spectrotemporal filters for auditory systems analysis.
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DOI：
10.1523/jneurosci.5249-08.2009
发表时间：
2009-03-18
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
David SV;Mesgarani N;Fritz JB;Shamma SA
通讯作者：
Shamma SA
影响因子：
16.2
作者：
Atencio, Craig A.;Sharpee, Tatyana O.;Schreiner, Christoph E.
通讯作者：
Schreiner, Christoph E.
影响因子：
2.5
作者：
Bartlett, Edward L.;Sadagopan, Srivatsun;Wang, Xiaoqin
通讯作者：
Wang, Xiaoqin
影响因子：
56.9
作者：
deCharms, RC;Blake, DT;Merzenich, MM
通讯作者：
Merzenich, MM
影响因子：
3.7
作者：
Atencio CA;Schreiner CE
通讯作者：
Schreiner CE