A Retinal Circuit That Computes Object Motion

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A Retinal Circuit That Computes Object Motion

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Title: A Retinal Circuit That Computes Object Motion
Author: Baccus, Stephen A.; Meister, Markus; Ölveczky, Bence P.; Manu, Mihai

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Citation: Baccus, Stephen A., Bence P. Ölveczky, Mihai Manu, and Markus Meister. 2008. A retinal circuit that computes object motion. The Journal of Neuroscience 28(27): 6807– 6817.
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Abstract: Certain ganglion cells in the retina respond sensitively to differential motion between the receptive field center and surround, as produced by an object moving over the background, but are strongly suppressed by global image motion, as produced by the observer's head or eye movements. We investigated the circuit basis for this object motion sensitive (OMS) response by recording intracellularly from all classes of retinal interneurons while simultaneously recording the spiking output of many ganglion cells. Fast, transient bipolar cells respond linearly to motion in the receptive field center. The synaptic output from their terminals is rectified and then pooled by the OMS ganglion cell. A type of polyaxonal amacrine cell is driven by motion in the surround, again via pooling of rectified inputs, but from a different set of bipolar cell terminals. By direct intracellular current injection, we found that these polyaxonal amacrine cells selectively suppress the synaptic input of OMS ganglion cells. A quantitative model of these circuit elements and their interactions explains how an important visual computation is accomplished by retinal neurons and synapses.
Published Version: http://dx.doi.org/10.1523/JNEUROSCI.4206-07.2008
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:2424373

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  • FAS Scholarly Articles [7875]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University

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