Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 1996 Jan 23;93(2):609-14.
doi: 10.1073/pnas.93.2.609.

Multineuronal codes in retinal signaling

Affiliations
Review

Multineuronal codes in retinal signaling

M Meister. Proc Natl Acad Sci U S A. .

Abstract

The visual world is presented to the brain through patterns of action potentials in the population of optic nerve fibers. Single-neuron recordings show that each retinal ganglion cell has a spatially restricted receptive field, a limited integration time, and a characteristic spectral sensitivity. Collectively, these response properties define the visual message conveyed by that neuron's action potentials. Since the size of the optic nerve is strictly constrained, one expects the retina to generate a highly efficient representation of the visual scene. By contrast, the receptive fields of nearby ganglion cells often overlap, suggesting great redundancy among the retinal output signals. Recent multineuron recordings may help resolve this paradox. They reveal concerted firing patterns among ganglion cells, in which small groups of nearby neurons fire synchronously with delays of only a few milliseconds. As there are many more such firing patterns than ganglion cells, such a distributed code might allow the retina to compress a large number of distinct visual messages into a small number of optic nerve fibers. This paper will review the evidence for a distributed coding scheme in the retinal output. The performance limits of such codes are analyzed with simple examples, illustrating that they allow a powerful trade-off between spatial and temporal resolution.

PubMed Disclaimer

References

    1. J Physiol. 1979 Jun;291:117-41 - PubMed
    1. J Comp Neurol. 1950 Apr;92(2):227-239 - PubMed
    1. J Neurophysiol. 1983 Feb;49(2):303-24 - PubMed
    1. J Neurophysiol. 1983 Feb;49(2):325-49 - PubMed
    1. J Neurophysiol. 1967 Sep;30(5):1043-71 - PubMed

Publication types

MeSH terms