Probing Computation in the Primate Visual System at Single-Cone Resolution

Kling, Alexandra; Field, Greg D.; Brainard, David H.; Chichilnisky, E. J.

doi:10.1146/annurev-neuro-070918-050233

Cited by 19 publications

(10 citation statements)

References 119 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3,9) revealed recordings from the somas, dendrites and axons of RGCs, along with the distinctive features of polyaxonal amacrine cells, as was observed previously in macaque [15,23,32,53]. High-resolution visual stimulation previously revealed the structure of RFs in macaque RGCs at single-cone resolution [17,[54][55][56][57], including the irregular spatial organization of cone inputs seen in human RGCs (Fig. 7).…”

Section: Discussionsupporting

confidence: 65%

Functional Organization of Midget and Parasol Ganglion Cells in the Human Retina

Kling

Gogliettino

Shah

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

The functional organization of diverse retinal ganglion cell (RGC) types, which shape the visual signals transmitted to the brain, has been examined in many species. The unique spatial, temporal, and chromatic properties of the numerically dominant RGC types in macaque monkey retina are presumed to most accurately model human vision. However, the functional similarity between RGCs in macaques and humans has only begun to be tested, and recent work suggests possible differences. Here, the properties of the numerically dominant human RGC types were examined using large-scale multi-electrode recordings with fine-grained visual stimulation in isolated retina, and compared to results from dozens of recordings from macaque retina using the same experimental methods and conditions. The properties of four major human RGC types -- ON-parasol, OFF-parasol, ON-midget, and OFF-midget -- closely paralleled those of the same macaque RGC types, including the spatial and temporal light sensitivity, precisely coordinated mosaic organization of receptive fields, ON-OFF asymmetries, spatial response nonlinearity, and sampling of photoreceptor inputs over space. Putative smooth monostratified cells and polyaxonal amacrine cells were also identified based on similarities to cell types previously identified in macaque retina. The results suggest that recently proposed differences between human and macaque RGCs probably reflect experimental differences, and that the macaque model provides an accurate picture of human RGC function.

show abstract

Section: Discussionsupporting

confidence: 65%

Functional Organization of Midget and Parasol Ganglion Cells in the Human Retina

Kling

Gogliettino

Shah

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…The unprecedented precision provided by adaptive optics imaging systems combined with recent advances in eye tracking and cone type classification (Sabesan et al, 2015) have enabled highly precise psychophysics experiments investigating the percepts resulting from single cones (reviewed by Kling et al, 2019). The responses are highly consistent and reflect activity in the midget RGCs with single cone centers (Schmidt et al, 2019).…”

Section: Parallel Processing Modelsmentioning

confidence: 99%

Reconciling Color Vision Models With Midget Ganglion Cell Receptive Fields

Patterson

Neitz

2019

Front. Neurosci.

View full text Add to dashboard Cite

Midget retinal ganglion cells (RGCs) make up the majority of foveal RGCs in the primate retina. The receptive fields of midget RGCs exhibit both spectral and spatial opponency and are implicated in both color and achromatic form vision, yet the exact mechanisms linking their responses to visual perception remain unclear. Efforts to develop color vision models that accurately predict all the features of human color and form vision based on midget RGCs provide a case study connecting experimental and theoretical neuroscience, drawing on diverse research areas such as anatomy, physiology, psychophysics, and computer vision. Recent technological advances have allowed researchers to test some predictions of color vision models in new and precise ways, producing results that challenge traditional views. Here, we review the progress in developing models of color-coding receptive fields that are consistent with human psychophysics, the biology of the primate visual system and the response properties of midget RGCs.

show abstract

“…The typical example is the visual pathway modeled here, starting the retina to LGN and visual cortex. The relatively simple organization of the retinal circuit makes it a perfect system for dissecting the dynamics and computations of the the multilayered neural network [ 67 , 68 ]. Leveraging the feature of macaque retina with less dense distribution and large size of photoreceptors away from the fovea, the STA analysis, using fine-size white noise checker images, can infer photoreceptors of the input layer while analyzing the spikes of ganglion cells of the output layer [ 67 ].…”

Section: Discussionmentioning

confidence: 99%

Dissecting cascade computational components in spiking neural networks

Jia

Xing

et al. 2021

PLoS Comput Biol

View full text Add to dashboard Cite

Finding out the physical structure of neuronal circuits that governs neuronal responses is an important goal for brain research. With fast advances for large-scale recording techniques, identification of a neuronal circuit with multiple neurons and stages or layers becomes possible and highly demanding. Although methods for mapping the connection structure of circuits have been greatly developed in recent years, they are mostly limited to simple scenarios of a few neurons in a pairwise fashion; and dissecting dynamical circuits, particularly mapping out a complete functional circuit that converges to a single neuron, is still a challenging question. Here, we show that a recent method, termed spike-triggered non-negative matrix factorization (STNMF), can address these issues. By simulating different scenarios of spiking neural networks with various connections between neurons and stages, we demonstrate that STNMF is a persuasive method to dissect functional connections within a circuit. Using spiking activities recorded at neurons of the output layer, STNMF can obtain a complete circuit consisting of all cascade computational components of presynaptic neurons, as well as their spiking activities. For simulated simple and complex cells of the primary visual cortex, STNMF allows us to dissect the pathway of visual computation. Taken together, these results suggest that STNMF could provide a useful approach for investigating neuronal systems leveraging recorded functional neuronal activity.

show abstract

Probing Computation in the Primate Visual System at Single-Cone Resolution

Cited by 19 publications

References 119 publications

Functional Organization of Midget and Parasol Ganglion Cells in the Human Retina

Functional Organization of Midget and Parasol Ganglion Cells in the Human Retina

Reconciling Color Vision Models With Midget Ganglion Cell Receptive Fields

Dissecting cascade computational components in spiking neural networks

Contact Info

Product

Resources

About