4.7 Article

Response Latency Tuning by Retinal Circuits Modulates Signal Efficiency

Journal

SCIENTIFIC REPORTS
Volume 9, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41598-019-51756-y

Keywords

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Funding

  1. Hungarian Brain Research Program [KTIA_NAP_13-2-2015-0008]
  2. Hungarian Brain Research Program 2 [2017-1.2.1.-NKP-2017]
  3. European Union
  4. State of Hungary
  5. European Social Fund [TAMOP-4.2.4.A/2-11/12012-0001, EFOP-3.6.1.-16-2016-00004]
  6. New National Excellence Program of the Ministry of Human Capacities [UNKP-19-2-I-PTE-96, UNKP-18-3-I-PTE-378, UNKP-18-3-IV-PTE-172]

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In the visual system, retinal ganglion cells (RGCs) of various subtypes encode preprocessed photoreceptor signals into a spike output which is then transmitted towards the brain through parallel feature pathways. Spike timing determines how each feature signal contributes to the output of downstream neurons in visual brain centers, thereby influencing efficiency in visual perception. In this study, we demonstrate a marked population-wide variability in RGC response latency that is independent of trial-to-trial variability and recording approach. RGC response latencies to simple visual stimuli vary considerably in a heterogenous cell population but remain reliable when RGCs of a single subtype are compared. This subtype specificity, however, vanishes when the retinal circuitry is bypassed via direct RGC electrical stimulation. This suggests that latency is primarily determined by the signaling speed through retinal pathways that provide subtype specific inputs to RGCs. In addition, response latency is significantly altered when GABA inhibition or gap junction signaling is disturbed, which further supports the key role of retinal microcircuits in latency tuning. Finally, modulation of stimulus parameters affects individual RGC response delays considerably. Based on these findings, we hypothesize that retinal microcircuits fine-tune RGC response latency, which in turn determines the context-dependent weighing of each signal and its contribution to visual perception.

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