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A Three-Layer Network Model of Direction Selective Circuits in the Optic Tectum

Overview of attention for article published in Frontiers in Neural Circuits, November 2017
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Title
A Three-Layer Network Model of Direction Selective Circuits in the Optic Tectum
Published in
Frontiers in Neural Circuits, November 2017
DOI 10.3389/fncir.2017.00088
Pubmed ID
Authors

Fatima Abbas, Marcus A. Triplett, Geoffrey J. Goodhill, Martin P. Meyer

Abstract

The circuit mechanisms that give rise to direction selectivity in the retina have been studied extensively but how direction selectivity is established in retinorecipient areas of the brain is less well understood. Using functional imaging in larval zebrafish we examine how the direction of motion is encoded by populations of neurons at three layers of the optic tectum; retinal ganglion cell axons (RGCs), a layer of superficial inhibitory interneurons (SINs), and periventricular neurons (PVNs), which constitute the majority of neurons in the tectum. We show that the representation of motion direction is transformed at each layer. At the level of RGCs and SINs the direction of motion is encoded by three direction-selective (DS) subtypes tuned to upward, downward, and caudal-to-rostral motion. However, the tuning of SINs is significantly narrower and this leads to a conspicuous gap in the representation of motion in the rostral-to-caudal direction at the level of SINs. Consistent with previous findings we demonstrate that, at the level of PVNs the direction of motion is encoded by four DS cell types which include an additional DS PVN cell type tuned to rostral-to-caudal motion. Strikingly, the tuning profile of this emergent cell type overlaps with the gap in the representation of rostral-to-caudal motion at the level of SINs. Using our functional imaging data we constructed a simple computational model that demonstrates how the emergent population of PVNs is generated by the interactions of cells at each layer of the tectal network. The model predicts that PVNs tuned to rostral-to-caudal motion can be generated via convergence of DS RGCs tuned to upward and downward motion and feedforward tuned inhibition via SINs which suppresses responses to non-preferred directions. Thus, by reshaping directional tuning that is inherited from the retina inhibitory inputs from SINs can generate a novel subtype of DS PVN and in so doing enhance the encoding of directional stimuli.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 16%
Student > Ph. D. Student 6 14%
Student > Bachelor 5 11%
Student > Master 4 9%
Student > Postgraduate 3 7%
Other 4 9%
Unknown 15 34%
Readers by discipline Count As %
Neuroscience 16 36%
Agricultural and Biological Sciences 3 7%
Biochemistry, Genetics and Molecular Biology 2 5%
Physics and Astronomy 2 5%
Nursing and Health Professions 1 2%
Other 4 9%
Unknown 16 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 August 2018.
All research outputs
#6,404,548
of 23,008,860 outputs
Outputs from Frontiers in Neural Circuits
#379
of 1,222 outputs
Outputs of similar age
#126,801
of 437,733 outputs
Outputs of similar age from Frontiers in Neural Circuits
#14
of 39 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,222 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 437,733 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.