Recently, a detailed catalog of 32 retinal ganglion cell (RGC) visual response patterns in mouse has emerged. However, the 10,000 samples required for this catalog—based on fluorescent signals from a calcium indicator dye—are much harder to acquire from the extracellular spike train recordings underlying our bionic vision research. Therefore, we sought to convert spike trains into pseudocalcium signals so that our data could be directly matched to the 32 predefined, calcium signal-based groups. A microelectrode array (MEA) was used to record spike trains from mouse RGCs of 29 retinas. Visual stimuli were adapted from the Baden et al. study; including moving bars, full-field contrast and temporal frequency chirps, and black–white and UV-green color flashes. Spike train histograms were converted into pseudocalcium traces with an OGB-1 convolution kernel. Response features were extracted using sparse principal components analysis to match each RGC to one of the 32 RGC groups. These responses mapped onto of the 32 previously described groups; however, some of the groups remained unmatched. Thus, adaptation of the Baden et al. methodology for MEA recordings of spike trains instead of calcium recordings was partially successful. Different classification methods, however, will be needed to define clear RGC groups from MEA data for our bionic vision research. Nevertheless, others may pursue a pseudocalcium approach to reconcile spike trains with calcium signals. This work will help to guide them on the limitations and potential pitfalls of such an approach.

中文翻译：

---

小鼠视网膜神经节细胞的假钙视觉反应的分类


最近，小鼠 32 种视网膜神经节细胞 (RGC) 视觉反应模式的详细目录已经出现。然而，该目录所需的 10,000 个样本（基于钙指示剂染料的荧光信号）从我们仿生视觉研究的细胞外尖峰序列记录中获取要困难得多。因此，我们试图将尖峰序列转换为伪钙信号，以便我们的数据可以直接与 32 个预定义的基于钙信号的组相匹配。使用微电极阵列 (MEA) 记录小鼠 29 个视网膜 RGC 的尖峰序列。视觉刺激改编自巴登等人。学习;包括移动条、全场对比度和时间频率啁啾，以及黑白和紫外绿色闪光。使用 OGB-1 卷积核将尖峰序列直方图转换为伪钙迹线。使用稀疏主成分分析提取响应特征，将每个 RGC 与 32 个 RGC 组之一进行匹配。这些响应映射到前面描述的 32 个组中；然而，有些群体仍然无法匹敌。因此，巴登等人的改编。用 MEA 记录尖峰序列代替钙记录的方法取得了部分成功。然而，我们的仿生视觉研究需要不同的分类方法来从 MEA 数据中定义清晰的 RGC 组。尽管如此，其他人可能会采用伪钙方法来协调尖峰序列与钙信号。这项工作将有助于指导他们了解这种方法的局限性和潜在陷阱。