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Attention Score in Context
| Title |
Metastable dynamics in heterogeneous neural fields
|
|---|---|
| Published in |
Frontiers in Systems Neuroscience, June 2015
|
| DOI | 10.3389/fnsys.2015.00097 |
| Pubmed ID | |
| Authors |
Cordula Schwappach, Axel Hutt, Peter beim Graben |
| Abstract |
We present numerical simulations of metastable states in heterogeneous neural fields that are connected along heteroclinic orbits. Such trajectories are possible representations of transient neural activity as observed, for example, in the electroencephalogram. Based on previous theoretical findings on learning algorithms for neural fields, we directly construct synaptic weight kernels from Lotka-Volterra neural population dynamics without supervised training approaches. We deliver a MATLAB neural field toolbox validated by two examples of one- and two-dimensional neural fields. We demonstrate trial-to-trial variability and distributed representations in our simulations which might therefore be regarded as a proof-of-concept for more advanced neural field models of metastable dynamics in neurophysiological data. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 5% |
| Germany | 1 | 5% |
| Unknown | 18 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 35% |
| Student > Ph. D. Student | 6 | 30% |
| Student > Master | 3 | 15% |
| Professor | 1 | 5% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 2 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 6 | 30% |
| Agricultural and Biological Sciences | 2 | 10% |
| Psychology | 2 | 10% |
| Mathematics | 2 | 10% |
| Engineering | 2 | 10% |
| Other | 4 | 20% |
| Unknown | 2 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 16 July 2015.
All research outputs
#14,817,410
of 22,815,414 outputs
Outputs from Frontiers in Systems Neuroscience
#888
of 1,342 outputs
Outputs of similar age
#144,599
of 262,924 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#23
of 41 outputs
Altmetric has tracked 22,815,414 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,342 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 262,924 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.