| Title |
Generalized seizures in a neural field model with bursting dynamics
|
|---|---|
| Published in |
Journal of Computational Neuroscience, August 2015
|
| DOI | 10.1007/s10827-015-0571-7 |
| Pubmed ID | |
| Authors |
X. Zhao, P. A. Robinson |
| Abstract |
The mechanisms underlying generalized seizures are explored with neural field theory. A corticothalamic neural field model that has accounted for multiple brain activity phenomena and states is used to explore changes leading to pathological seizure states. It is found that absence seizures arise from instabilities in the system and replicate experimental studies in numerous animal models and clinical studies. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 32% |
| Student > Master | 4 | 18% |
| Researcher | 3 | 14% |
| Lecturer | 1 | 5% |
| Professor | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 7 | 32% |
| Engineering | 4 | 18% |
| Medicine and Dentistry | 3 | 14% |
| Mathematics | 1 | 5% |
| Psychology | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 3 | 14% |
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 16 June 2016.
All research outputs
#20,288,585
of 22,824,164 outputs
Outputs from Journal of Computational Neuroscience
#263
of 307 outputs
Outputs of similar age
#223,252
of 266,176 outputs
Outputs of similar age from Journal of Computational Neuroscience
#4
of 6 outputs
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So far Altmetric has tracked 307 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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