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Trends Neurosci. 2018 Apr;41(4):224-237. doi: 10.1016/j.tins.2018.01.009. Epub 2018 Feb 14.

Flexible Neural Hardware Supports Dynamic Computations in Retina.

Author information

1
Department of Neurobiology, Weizmann Institute of Science, Rehovot, 76100, Israel. Electronic address: michal.rivlin@weizmann.ac.il.
2
Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, USA. Electronic address: william.grimes@nih.gov.
3
Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, USA. Electronic address: rieke@u.washington.edu.

Abstract

The ability of the retina to adapt to changes in mean light intensity and contrast is well known. Classically, however, adaptation is thought to affect gain but not to change the visual modality encoded by a given type of retinal neuron. Recent findings reveal unexpected dynamic properties in mouse retinal neurons that challenge this view. Specifically, certain cell types change the visual modality they encode with variations in ambient illumination or following repetitive visual stimulation. These discoveries demonstrate that computations performed by retinal circuits with defined architecture can change with visual input. Moreover, they pose a major challenge for central circuits that must decode properties of the dynamic visual signal from retinal outputs.

KEYWORDS:

Retinal circuits; adaptation; dynamic computing; parallel processing; retinal ganglion cells

PMID:
29454561
PMCID:
PMC5878716
DOI:
10.1016/j.tins.2018.01.009
[Indexed for MEDLINE]
Free PMC Article

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