Pan-retinal characterisation of Light Responses from Ganglion Cells in the Developing Mouse Retina
Year: 2017
Type: article
Abstract: We have investigated the ontogeny of light-driven responses in mouse retinal ganglion cells (RGCs). Using a large-scale, high-density multielectrode array, we recorded from hundreds to thousands of RGCs simultaneously at pan-retinal level, including dorsal and ventral locations. Responses to different contrasts not only revealed a complex developmental profile for ON, OFF and ON-OFF responses, but also unveiled differences between dorsal and ventral RGC responses. At eye-opening, dorsal RGCs of all types were more responsive to light, perhaps indicating an environmental priority to nest viewing for pre-weaning pups. The developmental profile of ON and OFF responses exhibited antagonistic behaviour, with the strongest ON responses shortly after eye-opening, followed by an increase in the strength of OFF responses later on. Further, we found that with maturation receptive field (RF) center sizes decrease, spike-triggered averaged responses to white noise become stronger, and centers become more circular while maintaining differences between RGC types. We conclude that the maturation of retinal functionality is not spatially homogeneous, likely reflecting ecological requirements that favour earlier maturation of the dorsal retina.
Source: Scientific Reports
DOI: 10.1038/srep42330
Institutions: Newcastle University, University of Edinburgh, Institut national de recherche en sciences et technologies du numérique, Université Côte d'Azur, Centre Inria d'Université Côte d'Azur, BIOVISION: Vision biologique : modèles intégratifs et systèmes d'aide à la vision pour les déficients visuels
Language: English
Subfield: Ophthalmology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,690
Awards: Retina-inspired ENcoding for advanced VISION tasks, CARMEN e-Science Portal, Novel analytical and datasharing tools for rich neuronal activity datasets obtained with a 4096 electrodes array, Novel analytical and datasharing tools for rich neuronal activity datasets obtained with a 4096 electrodes array
OpenAlex ID: W2950882754
