Elsevier

Current Opinion in Neurobiology

Volume 24, February 2014, Pages 133-142
Current Opinion in Neurobiology

Retinal ganglion cell maps in the brain: implications for visual processing

https://doi.org/10.1016/j.conb.2013.08.006Get rights and content

Highlights

  • The retina conveys a rich set of information about the content of the visual world to the brain.

  • Genetic tools are starting to reveal ‘labeled lines’ extending from the retina to visual targets in the brain that control specific behaviors.

  • The dorsal lateral geniculate nucleus harbors cell types tuned for directional motion and orientation features that may arise from the retina.

  • Genetic and imaging studies are starting to provide a window into how retinal maps are kept separate or combined within the brain.

Everything the brain knows about the content of the visual world is built from the spiking activity of retinal ganglion cells (RGCs). As the output neurons of the eye, RGCs include ∼20 different subtypes, each responding best to a specific feature in the visual scene. Here we discuss recent advances in identifying where different RGC subtypes route visual information in the brain, including which targets they connect to and how their organization within those targets influences visual processing. We also highlight examples where causal links have been established between specific RGC subtypes, their maps of central connections and defined aspects of light-mediated behavior and we suggest the use of techniques that stand to extend these sorts of analyses to circuits underlying visual perception.

Introduction

Over 50 years ago, Lettvin et al. published the seminal paper ‘What the Frog's Eye Tells the Frog's Brain’ [1]. Lettvin described the many elaborate features encoded by the output neurons of the eye  the retinal ganglion cells (RGCs), such as edges, looming objects, or ‘bug detectors’ that respond best to small stimuli moving against a stationary background. The broad textbook model of vision nevertheless became that RGCs have simple center-surround receptive fields that are combined within the brain to generate more complex feature representations [2]. This certainly is the case for some RGCs and visual channels [3, 4, 5]. However, Lettvin also had it right: regardless of whether you examine the eye of a fish, mouse, rat, rabbit, monkey or human, you’ll find ∼20 distinct subtypes of RGCs, each responding best to a specific, often highly specialized arrangement of light and dark in the visual environment [6, 7•, 8]. For example, some RGCs respond best to specific directions of motion [9, 10, 11] or orientations [12, 13, 14] and still others are suppressed by contrast [15] or signal the presence of looming stimuli [16]. A complete cataloging of the features encoded by different RGC subtypes is ongoing, but one thing is clear: RGCs are primed to deliver a rich set of visual information to the brain. In mammals there are also more than two-dozen brain areas that receive direct input from RGCs. Thus, the following crucial questions arise:

  • 1.

    Where does each RGC subtype project to in the brain?

  • 2.

    How are the visual signals encoded by different RGC subtypes integrated by local circuits within their targets?

  • 3.

    How does the parallel organization of retinal maps influence visual perception and behavior?

In the following sections, we address recent progress toward answering these questions. We focus on four different eye-to-brain pathways, each serving a dedicated aspect of visual processing.

Section snippets

Intrinsically photosensitive RGCs: linking irradiance detectors to brain nuclei controlling specific non-image-forming behaviors

One of the great ongoing successes in the effort to link specific RGC subtypes and their maps in the brain to well defined visual behaviors comes from the study of intrinsically photosensitive RGCs (ipRGCs). All ipRGCs respond directly to light due to their expression of melanopsin photopigment [17, 18, 19, 20]. Genetic labeling of ipRGCs from the melanopsin locus enabled selective mapping of ipRGC axonal projections within the brain and thereby revealed their two major targets: the

The superior colliculus contains functionally distinct parallel visual maps

The superior colliculus (SC) is a large multimodal structure involved in directing the head and eyes to particular locations in visual space [35]. Input from the retina is delivered to the superficial-most layers of the SC where it is topographically mapped and aligned with the auditory and somatosensory maps that reside in deeper layers [36]. Recently, there has been a surge in understanding about how different RGCs and the information they encode are mapped in the SC. In large part these

Cell-type-specific targeting of RGCs in the lateral geniculate nucleus

The recent advent of genetic tools for labeling specific RGC subtypes has greatly expanded understanding of how different visual channels are organized within the most famous mammalian retinorecipient target  the dorsal lateral geniculate nucleus (dLGN). Studies used transgenic labeling of specific RGC subtypes to demonstrate that the mouse dLGN contains at least two broad categories of functionally distinct retinal maps: a laminar map of direction selective RGC (DSGC) axons that resides

Mapping direction selective retinal inputs to brain areas that control image-stabilization

As the eyes and head move, images slip on the retina; left unchecked this would blur the image of the visual scene. A specialized set of direction selective RGCs and central targets together called the accessory optic system (AOS) generate reflexive eye movements that compensate for retinal slip [70, 71, 72•]. Consequently, the AOS is a powerful model for probing how the mapping of DSGCs relates to visual behavior. Classic work in rabbits [70] showed that the AOS consists of On-DSGCs that

Perspectives

Here we reviewed recent advances in understanding how different RGCs map visual features to the brain. In some cases such as the ipRGCs, those maps resemble ‘labeled lines’, whereas in other cases, such as the retinal inputs to the SC, they are poised to converge in a combinatorial pattern. Understanding the relevance of this convergence to visual processing and perception represents an important unmet challenge. For example, does the combined directional tuning of dLGN neurons simply mirror

References and recommended reading

Papers of particular interest, published within the period of review, have been highlighted as:

  • • of special interest

  • •• of outstanding interest

Acknowledgements

We thank Maureen Eztevez, David Berson, Jianhua Cang and Cris Niell and members of the Huberman Lab for helpful comments. Support was provided by Knights Templar Eye Foundation (O.S.D) and by NIH R01 EY022157-01, The McKnight Endowment Fund for Neuroscience and the Pew Charitable Trusts (A.D.H).

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