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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
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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Book ChapterDOI

Synapse formation in the developing vertebrate retina

TL;DR: This chapter summarizes the current understanding of synaptogenesis, formation of synaptic laminae, and emergence of synaptic specificity with a focus on the mouse retina, where state-of-the-art techniques are combined to explore the assembly of functionally defined circuits in unprecedented detail.
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Reconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activity

TL;DR: In this paper, the maximum likelihood estimation of a generalized linear model of the spiking activity in continuous time is employed for the reconstruction of large recurrent neuronal networks from thousands of parallel spike train recordings.
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Determination of secretory granule maturation times in pancreatic islet β-cells by serial block-face electron microscopy.

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Neural Tracing Methods

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Biological convolutions improve DNN robustness to noise and generalisation

TL;DR: In this article , fixed biological filter banks, in particular banks of Gabor filters, are used to constrain the networks to avoid reliance on shortcuts, making them develop more structured internal representations and more tolerance to noise.
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Journal ArticleDOI

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