Kling Alexandra, Brackbill Nora, Rhoades Colleen, Gogliettino Alex, Sher Alexander, Litke Alan, Chichilnisky E J
Department of Neurosurgery, Stanford University, Stanford, CA, United States.
Physics Department, University of California, Santa Cruz, Santa Cruz, CA, United States.
Front Cell Neurosci. 2025 Aug 12;19:1600167. doi: 10.3389/fncel.2025.1600167. eCollection 2025.
At least 20 distinct retinal ganglion cell (RGC) types have been identified morphologically in the primate retina, but our understanding of the distinctive visual messages they send to various targets in the brain remains limited, particularly for naturalistic stimuli. Here, we use large-scale multi-electrode recordings to examine how multiple functionally distinct RGC types in the macaque retina respond to flashed natural images. Responses to white noise visual stimulation were used to functionally identify 936 RGCs of 12 types in three recordings. Each cell type was confirmed by the mosaic organization of receptive fields, and seven cell types were cross-identified between recordings. Responses to thousands of natural images were used to examine the average firing rate kinetics in each RGC type as well as the repertoire of distinct firing patterns that each type produced. The average response across images was highly stereotyped for cells of each type and distinct for cells of different types. The responses to natural images more clearly distinguished certain cell types than did the response to white noise stimulation. Moreover, the full repertoires of firing patterns produced by different cell types, assessed by their latency and duration, were largely distinct in most cases and in some cases non-overlapping. Together these data provide an overview of the diversity of RGC signals transmitted from the primate retina to the brain in natural viewing conditions.
在灵长类动物视网膜中,至少已在形态学上鉴定出20种不同类型的视网膜神经节细胞(RGC),但我们对它们向大脑中各个靶标发送的独特视觉信息的了解仍然有限,尤其是对于自然主义刺激而言。在这里,我们使用大规模多电极记录来研究猕猴视网膜中多种功能不同的RGC类型如何对闪烁的自然图像做出反应。在三次记录中,利用对白噪声视觉刺激的反应从功能上鉴定了12种类型的936个RGC。每种细胞类型通过感受野的镶嵌组织得到确认,并且在不同记录之间交叉鉴定出七种细胞类型。利用对数千张自然图像的反应来检查每种RGC类型的平均放电频率动力学以及每种类型产生的不同放电模式。每种类型细胞对图像的平均反应高度刻板,不同类型细胞的反应则各不相同。与对白噪声刺激的反应相比,对自然图像的反应更能清晰地区分某些细胞类型。此外,通过潜伏期和持续时间评估,不同细胞类型产生的完整放电模式在大多数情况下基本不同,在某些情况下甚至不重叠。这些数据共同概述了在自然观察条件下从灵长类动物视网膜传输到大脑的RGC信号的多样性。