Circuit Mechanisms of a Retinal Ganglion Cell with Stimulus-Dependent Response Latency and Activation Beyond Its Dendrites

Mani, Adam; Schwartz, Greg

doi:10.1016/j.cub.2016.12.033

Cited by 57 publications

(76 citation statements)

References 49 publications

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“…Nine of our internally validated types (5ti, 5so, 5si, 4i, 4on, 6sn, 7o, 73, 82wi) correspond with GC classes that were recently defined by physiological and anatomical techniques (Baden et al, 2016; Jacoby and Schwartz, 2017; Mani and Schwartz, 2017; Sabbah et al, 2017) but have not yet been confirmed as pure types by molecular techniques and mosaic analysis. Our density conservation test (Fig.…”

Section: Resultsmentioning

confidence: 81%

“…Our 7o corresponds to the nonclassical transient On DS cell found by Baden et al (2016) and Sabbah et al (2017). Our 73 corresponds to the On delayed cell as defined by Mani and Schwartz (2017). Our 82wi corresponds to the vertically orientation selective cell studied by Nath and Schwartz (2016).…”

Section: Resultsmentioning

confidence: 92%

“…Our 73 corresponds to the On delayed cell studied by Mani and Schwartz (2017), based on its delayed response, relatively small dendritic field, and many recursive dendrites spanning the central sublamina.…”

Section: Star Methodsmentioning

confidence: 99%

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Digital Museum of Retinal Ganglion Cells with Dense Anatomy and Physiology

Bae

Kim

et al. 2018

Cell

221

244

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When 3D electron microscopy and calcium imaging are used to investigate the structure and function of neural circuits, the resulting datasets pose new challenges of visualization and interpretation. Here, we present a new kind of digital resource that encompasses almost 400 ganglion cells from a single patch of mouse retina. An online "museum" provides a 3D interactive view of each cell's anatomy, as well as graphs of its visual responses. The resource reveals two aspects of the retina's inner plexiform layer: an arbor segregation principle governing structure along the light axis and a density conservation principle governing structure in the tangential plane. Structure is related to visual function; ganglion cells with arbors near the layer of ganglion cell somas are more sustained in their visual responses on average. Our methods are potentially applicable to dense maps of neuronal anatomy and physiology in other parts of the nervous system.

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Section: Resultsmentioning

confidence: 81%

Section: Resultsmentioning

confidence: 92%

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Digital Museum of Retinal Ganglion Cells with Dense Anatomy and Physiology

Bae

Kim

et al. 2018

Cell

221

244

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“…Further, ON-delayed (n = 21, Figure 1C) and OFF-delayed (n = 211, Figure 1G) RGC types were differentiated based on their delayed response kinetics with >0.3 s latencies. Responses of these RGCs were reminiscent of previously described ON-and OFF-delayed RGCs [40]. Following characterization, firing pattern maps of population of RGCs were created and recorded for ON, OFF, ON-OFF and ON/OFF-delayed RGC responses to specify their positions over the MEA in the following experiments.…”

Section: Characterization Of Major Rgcs/displaced Ac Populations In Tmentioning

confidence: 99%

Defocused Images Change Multineuronal Firing Patterns in the Mouse Retina

Banerjee

Wang

et al. 2020

Cells

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Myopia is a major public health problem, affecting one third of the population over 12 years old in the United States and more than 80% of people in Hong Kong. Myopia is attributable to elongation of the eyeball in response to defocused images that alter eye growth and refraction. It is known that the retina can sense the focus of an image, but the effects of defocused images on signaling of population of retinal ganglion cells (RGCs) that account either for emmetropization or refractive errors has still to be elucidated. Thorough knowledge of the underlying mechanisms could provide insight to understanding myopia. In this study, we found that focused and defocused images can change both excitatory and inhibitory conductance of ON alpha, OFF alpha and ON-OFF retinal ganglion cells in the mouse retina. The firing patterns of population of RGCs vary under the different powers of defocused images and can be affected by dopamine receptor agonists/antagonists' application. OFF-delayed RGCs or displaced amacrine cells (dACs) with time latency of more than 0.3 s had synchrony firing with other RGCs and/or dACs. These spatial synchrony firing patterns between OFF-delayed cell and other RGCs/dACs were significantly changed by defocused image, which may relate to edge detection. The results suggested that defocused images induced changes in the multineuronal firing patterns and whole cell conductance in the mouse retina. The multineuronal firing patterns can be affected by dopamine receptors' agonists and antagonists. Synchronous firing of OFF-delayed cells is possibly related to edge detection, and understanding of this process may reveal a potential therapeutic target for myopia patients.

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“…showed increased activity) suggests that this is a highly specific property, presumably because the chromatically nonlinear cells comprise specific subtypes of ganglion cells and likely only few (perhaps a single type at least for the rare nonlinear On cells). Despite the hypothesis that nonlinear chromatic integration is cell-type specific, the measured chromatic nonlinearity indices did not fall into discrete groups, but formed a continuum, reminiscent of characterizations of spatial integration (Carcieri et al, 2003;Mani and Schwartz, 2017).…”

Section: Discussionmentioning

confidence: 82%

Linear and nonlinear chromatic integration in the mouse retina

Khani

Gollisch

2020

Preprint

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AbstractThe computation performed by a neural circuit depends on how it integrates its input signals into an output of its own. In the retina, ganglion cells integrate visual information over time, space, and chromatic channels. Unlike the former two, chromatic integration in the retina is largely unexplored. Analogous to classical studies of spatial integration, we here studied chromatic integration in mouse retina by identifying chromatic stimuli for which activation from one cone type is maximally balanced by deactivation in the other cone type. This revealed nonlinear chromatic integration in subsets of On, Off, and On-Off ganglion cells. Nonlinear On cells differed from the other two classes by displaying response suppression rather than activation under balanced chromatic stimulation. Furthermore, nonlinear chromatic integration occurs independently of nonlinear spatial integration, depends on inhibitory signals from the receptive field surround, and may provide information about chromatic boundaries, such as the skyline in natural scenes.

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Circuit Mechanisms of a Retinal Ganglion Cell with Stimulus-Dependent Response Latency and Activation Beyond Its Dendrites

Cited by 57 publications

References 49 publications

Digital Museum of Retinal Ganglion Cells with Dense Anatomy and Physiology

Digital Museum of Retinal Ganglion Cells with Dense Anatomy and Physiology

Defocused Images Change Multineuronal Firing Patterns in the Mouse Retina

Linear and nonlinear chromatic integration in the mouse retina

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