Mouse dLGN Receives Functional Input from a Diverse Population of Retinal Ganglion Cells with Limited Convergence

Rosón, Miroslav Román; Bauer, Yannik; Kotkat, Ann H.; Berens, Philipp; Euler, Thomas; Busse, Laura

doi:10.1016/j.neuron.2019.01.040

Cited by 69 publications

(78 citation statements)

References 107 publications

(190 reference statements)

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“…Thus, our results suggest that post-retinal areas may need to differentially process cell-type inputs. Recent work elucidating LGN processing of RGC output confirms that some LGN neurons receive predominant input from a single type of RGC 53 – 55 . These studies also find LGN neurons with input from diverse types of RGCs, posing further questions of how correlations between RGCs of different types may affect early visual processing.…”

Section: Discussionmentioning

confidence: 97%

Ignoring correlated activity causes a failure of retinal population codes

2020

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From starlight to sunlight, adaptation alters retinal output, changing both the signal and noise among populations of retinal ganglion cells (RGCs). Here we determine how these light level-dependent changes impact decoding of retinal output, testing the importance of accounting for RGC noise correlations to optimally read out retinal activity. We find that at moonlight conditions, correlated noise is greater and assuming independent noise severely diminishes decoding performance. In fact, assuming independence among a local population of RGCs produces worse decoding than using a single RGC, demonstrating a failure of population codes when correlated noise is substantial and ignored. We generalize these results with a simple model to determine what conditions dictate this failure of population processing. This work elucidates the circumstances in which accounting for noise correlations is necessary to take advantage of population-level codes and shows that sensory adaptation can strongly impact decoding requirements on downstream brain areas.

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Section: Discussionmentioning

confidence: 97%

Ignoring correlated activity causes a failure of retinal population codes

2020

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“…The dLGN is a non-homogenous nucleus, consisting of different neuronal cell types which can be classified in various ways [67,68]. To test if the effect of CT feedback depends on cell type, we performed binary classification of neurons according to whether or not they were suppressed by contrast (SbC or non-SbC) [67], and whether they were positioned in putative shell or core regions [158] of dLGN.…”

Section: Observations Neurons Micementioning

confidence: 99%

Robust effects of corticothalamic feedback and behavioral state on movie responses in mouse dLGN

Špaček¹,

Born²,

Crombie³

et al. 2019

Preprint

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8Neurons in the dorsolateral geniculate nucleus (dLGN) of the thalamus are contacted by a large number of feedback synapses from cortex, whose role in visual processing is poorly understood. Past studies investigating this role have mostly used simple visual stimuli and anesthetized animals, but corticothalamic (CT) feedback might be particularly relevant during processing of complex visual stimuli, and its effects might depend on behavioral state. Here, we find that CT feedback robustly modulates responses to naturalistic movie clips by increasing response gain and promoting tonic firing mode. Compared to these robust effects for naturalistic movies, CT feedback effects were less consistent for simple grating stimuli. Finally, while CT feedback and locomotion affected dLGN responses in similar ways, we found their effects to be largely independent. We propose that CT feedback and behavioral state use separate routes to powerfully modulate visual information on its way to cortex.

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“…Thus, our results suggest that post-retinal areas may need to differentially process cell type inputs. Recent work elucidating LGN processing of RGC output confirm that some LGN neurons receive predominant input from a single type of RGC (Rompani et al, 2017;Liang et al, 2018;Roman Roson et al, 2019). These studies also find LGN neurons with input from diverse types of RGCs, posing further questions of how correlations between RGCs of different types may affect early visual processing.…”

Section: Implications For Downstream Processingmentioning

confidence: 87%

Ignoring correlated activity causes a failure of retinal population codes under moonlight conditions

Ruda

Zylberberg

Field

2019

Preprint

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The retina encodes visual stimuli across light intensities spanning 10-12 orders of magnitude from starlight to sunlight. To accommodate this enormous range, adaptation alters retinal output, changing both the signal and noise among populations of retinal ganglion cells (RGCs). Here we determine how these light level-dependent changes in signal and noise impact decoding of retinal output. In particular, we consider the importance of accounting for noise correlations among RGCs to optimally read out retinal activity. We find that at moonlight conditions, correlated noise is greater and assuming independent noise severely diminished decoding performance. In fact, assuming independence among a local population of RGCs produced worse decoding than using a single RGC, demonstrating a failure of population codes when correlated noise is substantial and ignored. We generalize these results with a simple model to determine the signal and noise conditions under which this failure of population processing can occur. This work elucidates the circumstances in which accounting for noise correlations is necessary to take advantage of population-level codes and shows that sensory adaptation can strongly impact decoding requirements on downstream brain areas.

show abstract

Mouse dLGN Receives Functional Input from a Diverse Population of Retinal Ganglion Cells with Limited Convergence

Cited by 69 publications

References 107 publications

Ignoring correlated activity causes a failure of retinal population codes

Ignoring correlated activity causes a failure of retinal population codes

Robust effects of corticothalamic feedback and behavioral state on movie responses in mouse dLGN

Ignoring correlated activity causes a failure of retinal population codes under moonlight conditions

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