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Journal ArticleDOI

Wiring specificity in the direction-selectivity circuit of the retina

Kevin L. Briggman, +2 more
- 10 Mar 2011 - 
- Vol. 471, Iss: 7337, pp 183-188
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TLDR
It is shown, using serial block-face electron microscopy and two-photon calcium imaging, that the dendrites of mouse starburst amacrine cells make highly specific synapses with direction-selective ganglion cells depending on the ganglION cell’s preferred direction.
Abstract
The proper connectivity between neurons is essential for the implementation of the algorithms used in neural computations, such as the detection of directed motion by the retina. The analysis of neuronal connectivity is possible with electron microscopy, but technological limitations have impeded the acquisition of high-resolution data on a large enough scale. Here we show, using serial block-face electron microscopy and two-photon calcium imaging, that the dendrites of mouse starburst amacrine cells make highly specific synapses with direction-selective ganglion cells depending on the ganglion cell's preferred direction. Our findings indicate that a structural (wiring) asymmetry contributes to the computation of direction selectivity. The nature of this asymmetry supports some models of direction selectivity and rules out others. It also puts constraints on the developmental mechanisms behind the formation of synaptic connections. Our study demonstrates how otherwise intractable neurobiological questions can be addressed by combining functional imaging with the analysis of neuronal connectivity using large-scale electron microscopy.

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Citations
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Three-dimensional alteration of neurites in schizophrenia

TL;DR: In this article, nano-CT analysis of brain tissues of schizophrenia and control cases revealed that neuronal structures vary between individuals, the mean curvature of distal neurites of the schizophrenia cases was 1.5 times higher than that of the controls, and dendritic spines were categorized into two geometrically distinctive groups.
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ON-pathway-dominant glycinergic regulation of cholinergic amacrine cells in the mouse retina.

TL;DR: It is suggested that fully defining the physiological properties of SACs in both ON‐ and OFF‐pathway will be critical to understanding and modelling direction selectivity in the retina.
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Reputation Management: In Autism, Generosity Is Its Own Reward

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References
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Journal ArticleDOI

Two-Photon Laser Scanning Fluorescence Microscopy

TL;DR: The fluorescence emission increased quadratically with the excitation intensity so that fluorescence and photo-bleaching were confined to the vicinity of the focal plane as expected for cooperative two-photon excitation.
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User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability

TL;DR: The methods and software engineering philosophy behind this new tool, ITK-SNAP, are described and the results of validation experiments performed in the context of an ongoing child autism neuroimaging study are provided, finding that SNAP is a highly reliable and efficient alternative to manual tracing.
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The structure of the nervous system of the nematode Caenorhabditis elegans

TL;DR: The structure and connectivity of the nervous system of the nematode Caenorhabditis elegans has been deduced from reconstructions of electron micrographs of serial sections as discussed by the authors.
Journal ArticleDOI

The mechanism of directionally selective units in rabbit's retina.

TL;DR: Experiments are described which show, first, that directional selectivity is not due to optical aberrations of some kind and, secondly, that it is not a simple matter of the latency of response varying systematically across the receptive field.
Journal ArticleDOI

Serial block−face scanning electron microscopy to reconstruct three−dimensional tissue nanostructure

TL;DR: It is demonstrated that datasets meeting these requirements can be obtained by automated block-face imaging combined with serial sectioning inside the chamber of a scanning electron microscope, opening the possibility of automatically obtaining the electron-microscope-level 3D datasets needed to completely reconstruct the connectivity of neuronal circuits.
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