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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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Journal ArticleDOI

Direction selectivity of the retinotectal system of fish: Findings based on microelectrode extracellular recordings of the tectum opticum

TL;DR: In this article , the authors compared the results of other authors examining direction selectivity in the fish retinotectal system and found that the preferred directions of three different types of direction-selective tectal neurons (DS TNs) match the preferred direction of three types of DS GCs.
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Connecting Connectomes to Physiology

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Machine Learning and Optimization for Neural Circuit Reconstruction

TL;DR: An iterative coarse-to-fine procedure that optimizes the parameters of spatially vary linear transformations of the intensity data in order to minimize discontinuities along the section axis, subject to detail-preserving regularization is proposed.
Posted ContentDOI

Visual experience instructs dendrite orientation but is not required for asymmetric wiring of the retinal direction selective circuit

TL;DR: Dendritic form follows proper circuit function, where dendritic orientation is refined over the course of development and is dependent on structured visual experience following eye opening, as observed in vDSGCs of normally reared animals.
Posted ContentDOI

Special Nuclear Layer Contacts Among Starburst Amacrine Cells in the Mouse Retina

TL;DR: Novel classes of cell-cell contacts between retinal starburst amacrine neurons are observed, from finely detailed morphological reconstructions of cells from an electron microscopic image volume of a mouse retina.
References
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Journal ArticleDOI

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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.
Journal ArticleDOI

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Journal ArticleDOI

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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