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Attention Score in Context
Title |
Synaptic E-I Balance Underlies Efficient Neural Coding
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Published in |
Frontiers in Neuroscience, February 2018
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DOI | 10.3389/fnins.2018.00046 |
Pubmed ID | |
Authors |
Shanglin Zhou, Yuguo Yu |
Abstract |
Both theoretical and experimental evidence indicate that synaptic excitation and inhibition in the cerebral cortex are well-balanced during the resting state and sensory processing. Here, we briefly summarize the evidence for how neural circuits are adjusted to achieve this balance. Then, we discuss how such excitatory and inhibitory balance shapes stimulus representation and information propagation, two basic functions of neural coding. We also point out the benefit of adopting such a balance during neural coding. We conclude that excitatory and inhibitory balance may be a fundamental mechanism underlying efficient coding. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 277 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 277 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 56 | 20% |
Researcher | 47 | 17% |
Student > Master | 45 | 16% |
Student > Doctoral Student | 26 | 9% |
Student > Bachelor | 26 | 9% |
Other | 26 | 9% |
Unknown | 51 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 110 | 40% |
Agricultural and Biological Sciences | 25 | 9% |
Medicine and Dentistry | 13 | 5% |
Biochemistry, Genetics and Molecular Biology | 11 | 4% |
Engineering | 11 | 4% |
Other | 42 | 15% |
Unknown | 65 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 22 November 2021.
All research outputs
#2,195,649
of 25,382,440 outputs
Outputs from Frontiers in Neuroscience
#1,297
of 11,542 outputs
Outputs of similar age
#49,947
of 448,179 outputs
Outputs of similar age from Frontiers in Neuroscience
#30
of 220 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 done well, scoring higher than 88% 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 448,179 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 220 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.