Orientation Selectivity in the Retina: ON Cell Types and Mechanisms

Antinucci, Paride; Abbas, Farrukh; Hunter, Paul R.

doi:10.1523/jneurosci.1527-16.2016

Cited by 3 publications

(3 citation statements)

References 25 publications

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“…INL, inner nuclear layer; GCL, ganglion cell layer. Diagram modified and expanded from Antinucci et al (2016a) with permission.…”

Section: Orientation-selective Cell Types In the Retinamentioning

confidence: 99%

“…If OSGCs indeed receive inhibitory inputs from orientation-selective amacrine cells, this should be evident in the tuning of synaptic currents recorded from their soma during visual stimulation. Recent studies in rabbit and mouse performed whole-cell voltage clamp recordings in OSGCs to isolate their excitatory and inhibitory currents ( Venkataramani and Taylor, 2010 ; Antinucci et al, 2016a ; Nath and Schwartz, 2016 ; Venkataramani and Taylor, 2016 ; Nath and Schwartz, 2017 ). Strikingly, both rabbit and mouse OSGCs receive synaptic inputs with highly stereotypical tuning profiles ( Figure 3C ).…”

Section: Mechanisms Underlying Retinal Orientation Selectivitymentioning

confidence: 99%

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Orientation-Selective Retinal Circuits in Vertebrates

Antinucci

Hindges

2018

Front. Neural Circuits

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Visual information is already processed in the retina before it is transmitted to higher visual centers in the brain. This includes the extraction of salient features from visual scenes, such as motion directionality or contrast, through neurons belonging to distinct neural circuits. Some retinal neurons are tuned to the orientation of elongated visual stimuli. Such ‘orientation-selective’ neurons are present in the retinae of most, if not all, vertebrate species analyzed to date, with species-specific differences in frequency and degree of tuning. In some cases, orientation-selective neurons have very stereotyped functional and morphological properties suggesting that they represent distinct cell types. In this review, we describe the retinal cell types underlying orientation selectivity found in various vertebrate species, and highlight their commonalities and differences. In addition, we discuss recent studies that revealed the cellular, synaptic and circuit mechanisms at the basis of retinal orientation selectivity. Finally, we outline the significance of these findings in shaping our current understanding of how this fundamental neural computation is implemented in the visual systems of vertebrates.

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“…INL, inner nuclear layer; GCL, ganglion cell layer. Diagram modified and expanded from Antinucci et al (2016a) with permission.…”

Section: Orientation-selective Cell Types In the Retinamentioning

confidence: 99%

Section: Mechanisms Underlying Retinal Orientation Selectivitymentioning

confidence: 99%

Orientation-Selective Retinal Circuits in Vertebrates

Antinucci

Hindges

2018

Front. Neural Circuits

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“…Two main hypotheses may still grant to a certain extent a role to defocus in the progression of myopia. The first one proposes the conflict in the spatially oriented ganglion cells 20–23 and its selectivity that can act as myopigenic clues 24 . Thus, eye growth might be prompted in case a large anisotropy is present in the periphery 25 , and the underlying mechanism of multifocal contact lenses may be related to a reduction of the ratio of radial to azimuthal contrast 25 .…”

Section: Introductionmentioning

confidence: 99%

2-D Peripheral image quality metrics with different types of multifocal contact lenses

García

Wahl

Pusti

et al. 2019

Sci Rep

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To evaluate the impact of multifocal contact lens wear on the image quality metrics across the visual field in the context of eye growth and myopia control. Two-dimensional cross-correlation coefficients were estimated by comparing a reference image against the computed retinal images for every location. Retinal images were simulated based on the measured optical aberrations of the naked eye and a set of multifocal contact lenses (centre-near and centre-distance designs), and images were spatially filtered to match the resolution limit at each eccentricity. Value maps showing the reduction in the quality of the image through each optical condition were obtained by subtracting the optical image quality from the theoretical physiological limits. Results indicate that multifocal contact lenses degrade the image quality independently from their optical design, though this result depends on the type of analysis conducted. Analysis of the image quality across the visual field should not be oversimplified to a single number but split into regional and groups because it provides more insightful information and can avoid misinterpretation of the results. The decay of the image quality caused by the multifocal contacts alone, cannot explain the translation of peripheral defocus towards protection on myopia progression, and a different explanation needs to be found.

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Circuits for Feature Selectivity in the Inner Retina

Schwartz

Swygart

2020

The Senses: A Comprehensive Reference

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Orientation Selectivity in the Retina: ON Cell Types and Mechanisms

Cited by 3 publications

References 25 publications

Orientation-Selective Retinal Circuits in Vertebrates

Orientation-Selective Retinal Circuits in Vertebrates

2-D Peripheral image quality metrics with different types of multifocal contact lenses

Circuits for Feature Selectivity in the Inner Retina

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