Type-specific dendritic integration in mouse retinal ganglion cells

Ran, Yanli; Huang, Ziwei; Baden, Tom; Baayen, Harald; Berens, Philipp; Franke, Katrin; Euler, Thomas

doi:10.1101/753335

Cited by 4 publications

(4 citation statements)

References 70 publications

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“…Specifically, the high density and overlap of dendritic processes across the IPL means that it is impossible to tell if groups of dendritic ROIs belong to the same RGC (Figures 1D and 1E). Nevertheless, functional dendritic data is indicative of the local computations that occur within RGC dendrites as they integrate signals from BCs and ACs in different layers of the IPL and in different positions of the eye [79]. Further, our single cell data (Figures S2A-S2E) suggests that dendritic signals in population recordings are probably also a reasonable proxy for somatic signals, with the added benefit that their signal-to-noise was generally higher (e.g., Figure 2A).…”

Section: A Note On Roi Segmentation and Identitymentioning

confidence: 99%

Zebrafish Retinal Ganglion Cells Asymmetrically Encode Spectral and Temporal Information across Visual Space

et al. 2020

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Summary In vertebrate vision, the tetrachromatic larval zebrafish permits non-invasive monitoring and manipulating of neural activity across the nervous system in vivo during ongoing behavior. However, despite a perhaps unparalleled understanding of links between zebrafish brain circuits and visual behaviors, comparatively little is known about what their eyes send to the brain via retinal ganglion cells (RGCs). Major gaps in knowledge include any information on spectral coding and information on potentially critical variations in RGC properties across the retinal surface corresponding with asymmetries in the statistics of natural visual space and behavioral demands. Here, we use in vivo two-photon imaging during hyperspectral visual stimulation as well as photolabeling of RGCs to provide a functional and anatomical census of RGCs in larval zebrafish. We find that RGCs’ functional and structural properties differ across the eye and include a notable population of UV-responsive On-sustained RGCs that are only found in the acute zone, likely to support visual prey capture of UV-bright zooplankton. Next, approximately half of RGCs display diverse forms of color opponency, including many that are driven by a pervasive and slow blue-Off system—far in excess of what would be required to satisfy traditional models of color vision. In addition, most information on spectral contrast was intermixed with temporal information. Taken together, our results suggest that zebrafish RGCs send a diverse and highly regionalized time-color code to the brain.

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Section: A Note On Roi Segmentation and Identitymentioning

confidence: 99%

Zebrafish Retinal Ganglion Cells Asymmetrically Encode Spectral and Temporal Information across Visual Space

et al. 2020

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“…2E,F, Supplementary Video S1). Together, this allowed sampling both RGC dendrites, which integrate inputs from BCs and ACs (IPL) Masland, 2012;Ran et al, 2019), as well as from RGC somata, whose activity is expected to largely reflect the spiking activity for transmission to the brain (GCL) (Baden et al, 2016). Throughout, we present data recorded from these distinct structures together, with dendrites plotted on top and somata plotted on an inverted y-axis below (e.g.…”

Section: Highly Diverse Light-driven Responses Of Rgcs In the Live Eyementioning

confidence: 99%

What the Zebrafish’s Eye Tells the Zebrafish’s Brain: Retinal Ganglion Cells for Prey Capture and Colour Vision

Zhou

Bear

Roberts

et al. 2020

Preprint

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In vertebrate vision, the tetrachromatic larval zebrafish permits non-invasive monitoring and manipulating of neural activity across the nervous system in vivo during ongoing behaviour. However, despite a perhaps unparalleled understanding of links between zebrafish brain circuits and visual behaviours, comparatively little is known about what their eyes send to the brain in the first place via retinal ganglion cells (RGCs). Major gaps in knowledge include any information on spectral coding, and information on potentially critical variations in RGC properties across the retinal surface to acknowledge asymmetries in the statistics of natural visual space and behavioural demands.Here, we use in vivo two photon (2P) imaging during hyperspectral visual stimulation as well as photolabeling of RGCs to provide the first eye-wide functional and anatomical census of RGCs in larval zebrafish.We find that RGCs' functional and structural properties differ across the eye and include a notable population of UV-responsive On-sustained RGCs that are only found in the acute zone, likely to support visual prey capture of UV-bright zooplankton. Next, approximately half of RGCs display diverse forms of colour opponency -long in excess of what would be required to satisfy traditional models of colour vision. However, most information on spectral contrast was intermixed with temporal information. To consolidate this series of unexpected findings, we propose that zebrafish may use a novel "dual-achromatic" strategy segregated by a spectrally intermediate background subtraction system. Specifically, our data is consistent with a model where traditional achromatic image-forming vision is mainly driven by longwavelength sensitive circuits, while in parallel UV-sensitive circuits serve a second achromatic system of foreground-vision that serves prey capture and, potentially, predator evasion.

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“…The ease of using these algorithms relying on the spike-triggered ensemble under white noise stimulation is also the disadvantage of these approaches -they can only be applied to spike data under white noise stimulation. In many cases, experiments today record more diverse measurements from neurons, such as two-photon calcium imaging [23,24] or synaptic current recording [25] under more diverse types of stimulation, such as correlated noise and natural stimuli [26]. In those cases, spike-triggered analysis can not be used directly without modification, as the spike-triggered average is no longer the maximum likelihood estimate [3].…”

Section: Other Approaches To Efficient Estimation Of Receptive Fieldsmentioning

confidence: 99%

Estimating smooth and sparse neural receptive fields with a flexible spline basis

Huang

Ran

Oesterle

et al. 2021

Neurons, Behavior, Data Analysis, and Theory

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Spatio-temporal receptive field (STRF) models are frequently used to approximate the computation implemented by a sensory neuron. Typically, such STRFs are assumed to be smooth and sparse. Current state-of-the-art approaches for estimating STRFs based on empirical Bayes are often not computationally efficient in high-dimensional settings, as encountered in sensory neuroscience. Here we pursued an alternative approach and encode prior knowledge for estimation of STRFs by choosing a set of basis functions with the desired properties: natural cubic splines. Our method is computationally efficient and can be easily applied to a wide range of existing models. We compared the performance of spline-based methods to non-spline ones on simulated and experimental data, showing that spline-based methods consistently outperform the non-spline versions.

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Type-specific dendritic integration in mouse retinal ganglion cells

Cited by 4 publications

References 70 publications

Zebrafish Retinal Ganglion Cells Asymmetrically Encode Spectral and Temporal Information across Visual Space

Zebrafish Retinal Ganglion Cells Asymmetrically Encode Spectral and Temporal Information across Visual Space

What the Zebrafish’s Eye Tells the Zebrafish’s Brain: Retinal Ganglion Cells for Prey Capture and Colour Vision

Estimating smooth and sparse neural receptive fields with a flexible spline basis

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