2010
DOI: 10.1152/jn.00896.2009
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Receptive Field Mosaics of Retinal Ganglion Cells Are Established Without Visual Experience

Abstract: were not yet mature at this age, each of the identified functional RGC types formed a receptive field mosaic, where the spacing of the receptive field centers and the overlap of the receptive field extents were similar to those observed in the retinas of adult rats. These findings suggest that, although the light response properties of RGCs may need vision to reach full maturity, extensive visual experience is not required for individual RGC types to form a regular sensory map of visual space.

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Cited by 47 publications
(49 citation statements)
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“…At the same time, the strength of light-evoked inputs to RGCs, both excitatory and inhibitory, decrease from eye opening through ϳP30 (He et al 2011). We found that latencies were long at eye opening, particularly for OFF cells, and decreased to near mature levels by P16 -17, similar to the results of other studies (Anishchenko et al 2010;Tian and Copenhagen 2003). The increase in RGC responsiveness with age is indicated by the increase in the maximum contrast of the linear filters.…”
Section: Discussionsupporting
confidence: 91%
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“…At the same time, the strength of light-evoked inputs to RGCs, both excitatory and inhibitory, decrease from eye opening through ϳP30 (He et al 2011). We found that latencies were long at eye opening, particularly for OFF cells, and decreased to near mature levels by P16 -17, similar to the results of other studies (Anishchenko et al 2010;Tian and Copenhagen 2003). The increase in RGC responsiveness with age is indicated by the increase in the maximum contrast of the linear filters.…”
Section: Discussionsupporting
confidence: 91%
“…Ideally, each RGC functional type would be followed through development to determine if individual classes go through unique developmental programs (Coombs et al 2007). In other studies, a large percentage of rodent RGCs responsive to white noise checkerboards were segregated into four functional classes by the characteristics of their STA time course (Anishchenko et al 2010;Kerschensteiner et al 2008). Although RGC functional groups could not be resolved by PCA in our study, we segregated RGC types into these four classes using ranges of linear filter parameters that appear to account for most of the variance that separates the groups (Kerschensteiner et al 2008).…”
Section: Discussionmentioning
confidence: 99%
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