Rank Order Coding: a Retinal Information Decoding Strategy Revealed by Large-Scale Multielectrode Array Retinal Recordings.
Rank Order Coding: a Retinal Information Decoding Strategy Revealed by Large-Scale Multielectrode Array Retinal Recordings.
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DOI：
10.1523/eneuro.0134-15.2016
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发表时间：
2016-05
期刊：
影响因子：
3.4
通讯作者：
Sernagor E
中科院分区：
文献类型：
--
作者：
Portelli G;Barrett JM;Hilgen G;Masquelier T;Maccione A;Di Marco S;Berdondini L;Kornprobst P;Sernagor E
视网膜神经节细胞（RGC）群体如何编码视觉场景仍然是一个悬而未决的问题。蝾螈的研究结果表明，RGC 对的相对延迟编码空间信息，超越了个体 RGC 编码策略。因此，基于这种协调尖峰的群体代码可能是快速有效地传输视觉信息的强大机制。视网膜神经节细胞（RGC）群体如何编码视觉场景仍然是一个悬而未决的问题。蝾螈的研究结果表明，RGC 对的相对延迟编码空间信息，超越了个体 RGC 编码策略。因此，基于这种协调尖峰的群体代码可能是快速有效地传输视觉信息的强大机制。在这里，我们使用由 4096 个电极组成的新一代大规模、高密度多电极阵列，在全视网膜水平记录数百个 RGC 的同步光诱发反应，从而在小鼠中测试了这一假设。有趣的是，我们没有发现任何 RGC 对刺激表现出明显的潜伏期调节，这表明在小鼠中，单个 RGC 对可能无法提供足够的信息。我们表明，大量的信息是在大量 RGC 群体的协调尖峰中协同编码的。因此，用相对活动或等级描述的 RGC 群体响应提供了比经典的独立尖峰计数或基于延迟的代码更相关的信息。特别是，我们首次报告，在考虑整个人群的相对活动时，第一次刺激引起的峰值浪潮是刺激内容的准确指标。我们证明这种编码策略与经典神经编码共存，并且更高效、更快。总体而言，这些新颖的观察表明，在视网膜水平上，协调的尖峰已经提供了一种可靠且快速的策略来快速传输新的视觉场景。
How a population of retinal ganglion cells (RGCs) encodes the visual scene remains an open question. Going beyond individual RGC coding strategies, results in salamander suggest that the relative latencies of a RGC pair encode spatial information. Thus, a population code based on this concerted spiking could be a powerful mechanism to transmit visual information rapidly and efficiently. How a population of retinal ganglion cells (RGCs) encodes the visual scene remains an open question. Going beyond individual RGC coding strategies, results in salamander suggest that the relative latencies of a RGC pair encode spatial information. Thus, a population code based on this concerted spiking could be a powerful mechanism to transmit visual information rapidly and efficiently. Here, we tested this hypothesis in mouse by recording simultaneous light-evoked responses from hundreds of RGCs, at pan-retinal level, using a new generation of large-scale, high-density multielectrode array consisting of 4096 electrodes. Interestingly, we did not find any RGCs exhibiting a clear latency tuning to the stimuli, suggesting that in mouse, individual RGC pairs may not provide sufficient information. We show that a significant amount of information is encoded synergistically in the concerted spiking of large RGC populations. Thus, the RGC population response described with relative activities, or ranks, provides more relevant information than classical independent spike count- or latency- based codes. In particular, we report for the first time that when considering the relative activities across the whole population, the wave of first stimulus-evoked spikes is an accurate indicator of stimulus content. We show that this coding strategy coexists with classical neural codes, and that it is more efficient and faster. Overall, these novel observations suggest that already at the level of the retina, concerted spiking provides a reliable and fast strategy to rapidly transmit new visual scenes.