Rank order coding: A retinal information decoding strategy revealed by large-scale multielectrode array retinal recordings

Geoffrey Portelli*, John M. Barrett, Gerrit Hilgen, Timothée Masquelier, Alessandro Maccione, Stefano Di Marco, Luca Berdondini, Pierre Kornprobst, Evelyne Sernagor

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)
2 Downloads (Pure)

Abstract

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 largescale, 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.

Original languageEnglish
Article numbere0134-15.2016
Pages (from-to)1-18
Number of pages18
JournaleNeuro
Volume3
Issue number3
Early online date12 May 2016
DOIs
Publication statusPublished - 3 Jun 2016
Externally publishedYes

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