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Delivery of continuously-varying stimuli using channelrhodopsin-2

Overview of attention for article published in Frontiers in Neural Circuits, January 2013
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Title
Delivery of continuously-varying stimuli using channelrhodopsin-2
Published in
Frontiers in Neural Circuits, January 2013
DOI 10.3389/fncir.2013.00184
Pubmed ID
Authors

Tatjana Tchumatchenko, Jonathan P. Newman, Ming-fai Fong, Steve M. Potter

Abstract

To study sensory processing, stimuli are delivered to the sensory organs of animals and evoked neural activity is recorded downstream. However, noise and uncontrolled modulatory input can interfere with repeatable delivery of sensory stimuli to higher brain regions. Here we show how channelrhodopsin-2 (ChR2) can be used to deliver continuous, subthreshold, time-varying currents to neurons at any point along the sensory-motor pathway. To do this, we first deduce the frequency response function of ChR2 using a Markov model of channel kinetics. We then confirm ChR2's frequency response characteristics using continuously-varying optical stimulation of neurons that express one of three ChR2 variants. We find that wild-type ChR2 and the E123T/H134R mutant ("CheTA") can pass continuously-varying subthreshold stimuli with frequencies up to ~70 Hz. Additionally, we find that wild-type ChR2 exhibits a strong resonance at ~6-10 Hz. Together, these results indicate that ChR2-derived optogenetic tools are useful for delivering highly repeatable artificial stimuli that mimic in vivo synaptic bombardment.

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The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 8%
Switzerland 1 1%
Germany 1 1%
Spain 1 1%
Belgium 1 1%
Unknown 87 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 32%
Researcher 20 20%
Student > Master 15 15%
Student > Bachelor 6 6%
Professor 4 4%
Other 16 16%
Unknown 6 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 37%
Neuroscience 22 22%
Engineering 14 14%
Medicine and Dentistry 5 5%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 9 9%
Unknown 8 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 December 2013.
All research outputs
#18,355,685
of 22,733,113 outputs
Outputs from Frontiers in Neural Circuits
#932
of 1,210 outputs
Outputs of similar age
#218,088
of 280,780 outputs
Outputs of similar age from Frontiers in Neural Circuits
#119
of 173 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,210 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.