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Closed-Loop Efficient Searching of Optimal Electrical Stimulation Parameters for Preferential Excitation of Retinal Ganglion Cells

Overview of attention for article published in Frontiers in Neuroscience, March 2018
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  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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3 X users
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1 patent

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Title
Closed-Loop Efficient Searching of Optimal Electrical Stimulation Parameters for Preferential Excitation of Retinal Ganglion Cells
Published in
Frontiers in Neuroscience, March 2018
DOI 10.3389/fnins.2018.00168
Pubmed ID
Authors

Tianruo Guo, Chih Yu Yang, David Tsai, Madhuvanthi Muralidharan, Gregg J. Suaning, John W. Morley, Socrates Dokos, Nigel H. Lovell

Abstract

The ability for visual prostheses to preferentially activate functionally-distinct retinal ganglion cells (RGCs) is important for improving visual perception. This study investigates the use of high frequency stimulation (HFS) to elicit RGC activation, using a closed-loop algorithm to search for optimal stimulation parameters for preferential ON and OFF RGC activation, resembling natural physiological neural encoding in response to visual stimuli. We evaluated the performance of a wide range of electrical stimulation amplitudes and frequencies on RGC responses in vitro using murine retinal preparations. It was possible to preferentially excite either ON or OFF RGCs by adjusting amplitudes and frequencies in HFS. ON RGCs can be preferentially activated at relatively higher stimulation amplitudes (>150 μA) and frequencies (2-6.25 kHz) while OFF RGCs are activated by lower stimulation amplitudes (40-90 μA) across all tested frequencies (1-6.25 kHz). These stimuli also showed great promise in eliciting RGC responses that parallel natural RGC encoding: ON RGCs exhibited an increase in spiking activity during electrical stimulation while OFF RGCs exhibited decreased spiking activity, given the same stimulation amplitude. In conjunction with the in vitro studies, in silico simulations indicated that optimal HFS parameters could be rapidly identified in practice, whilst sampling spiking activity of relevant neuronal subtypes. This closed-loop approach represents a step forward in modulating stimulation parameters to achieve appropriate neural encoding in retinal prostheses, advancing control over RGC subtypes activated by electrical stimulation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 24%
Researcher 8 19%
Student > Bachelor 4 10%
Student > Master 4 10%
Student > Doctoral Student 3 7%
Other 3 7%
Unknown 10 24%
Readers by discipline Count As %
Engineering 13 31%
Neuroscience 7 17%
Physics and Astronomy 5 12%
Medicine and Dentistry 2 5%
Agricultural and Biological Sciences 1 2%
Other 2 5%
Unknown 12 29%
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 12 August 2021.
All research outputs
#7,208,166
of 25,382,440 outputs
Outputs from Frontiers in Neuroscience
#4,675
of 11,542 outputs
Outputs of similar age
#119,944
of 348,698 outputs
Outputs of similar age from Frontiers in Neuroscience
#112
of 268 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 59% 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 348,698 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 65% of its contemporaries.
We're also able to compare this research output to 268 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 57% of its contemporaries.