| Title |
Can the activities of the large scale cortical network be expressed by neural energy? A brief review
|
|---|---|
| Published in |
Cognitive Neurodynamics, September 2015
|
| DOI | 10.1007/s11571-015-9354-0 |
| Pubmed ID | |
| Authors |
Rubin Wang, Yating Zhu |
| Abstract |
This paper mainly discusses and summarize that the changes of biological energy in the brain can be expressed by the biophysical energy we constructed. Different from the electrochemical energy, the biophysical energy proposed in the paper not only can be used to simulate the activity of neurons but also be used to simulate the neural activity of large scale cortical networks, so that the scientific nature of the neural energy coding was discussed. |
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 % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 17% |
| Researcher | 2 | 17% |
| Student > Ph. D. Student | 2 | 17% |
| Lecturer | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 4 | 33% |
| Engineering | 2 | 17% |
| Agricultural and Biological Sciences | 1 | 8% |
| Physics and Astronomy | 1 | 8% |
| Arts and Humanities | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 25% |
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 22 January 2016.
All research outputs
#18,425,370
of 22,826,360 outputs
Outputs from Cognitive Neurodynamics
#194
of 319 outputs
Outputs of similar age
#192,520
of 266,946 outputs
Outputs of similar age from Cognitive Neurodynamics
#3
of 8 outputs
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So far Altmetric has tracked 319 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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