Cluster-based analysis improves predictive validity of spike-triggered receptive field estimates.

ABSTRACT: 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 si

SUBMITTER: Bigelow J 

PROVIDER: S-EPMC5587334 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature