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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Slow dynamics in features of synchronized neural network responses
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, April 2015
|
| DOI | 10.3389/fncom.2015.00040 |
| Pubmed ID | |
| Authors |
Netta Haroush, Shimon Marom |
| Abstract |
In this report trial-to-trial variations in the synchronized responses of neural networks are explored over time scales of minutes, in ex-vivo large scale cortical networks. We show that sub-second measures of the individual synchronous response, namely-its latency and decay duration, are related to minutes-scale network response dynamics. Network responsiveness is reflected as residency in, or shifting amongst, areas of the latency-decay plane. The different sensitivities of latency and decay durations to synaptic blockers imply that these two measures reflect aspects of inhibitory and excitatory activities. Taken together, the data suggest that trial-to-trial variations in the synchronized responses of neural networks might be related to effective excitation-inhibition ratio being a dynamic variable over time scales of minutes. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 18% |
| United States | 1 | 9% |
| Italy | 1 | 9% |
| Canada | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 82% |
| Scientists | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Germany | 2 | 5% |
| France | 1 | 3% |
| Italy | 1 | 3% |
| Unknown | 33 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 21% |
| Student > Master | 7 | 18% |
| Researcher | 7 | 18% |
| Student > Bachelor | 3 | 8% |
| Professor | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 6 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 31% |
| Neuroscience | 8 | 21% |
| Psychology | 2 | 5% |
| Engineering | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 7 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 03 June 2015.
All research outputs
#4,489,222
of 22,799,071 outputs
Outputs from Frontiers in Computational Neuroscience
#204
of 1,341 outputs
Outputs of similar age
#57,362
of 264,369 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#6
of 28 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,341 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 84% 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 264,369 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 78% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.