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Mendeley readers
| Title |
An optimally evolved connective ratio of neural networks that maximizes the occurrence of synchronized bursting behavior
|
|---|---|
| Published in |
BMC Systems Biology, March 2012
|
| DOI | 10.1186/1752-0509-6-23 |
| Pubmed ID | |
| Authors |
Chao-Yi Dong, Kwang-Hyun Cho |
| Abstract |
Synchronized bursting activity (SBA) is a remarkable dynamical behavior in both ex vivo and in vivo neural networks. Investigations of the underlying structural characteristics associated with SBA are crucial to understanding the system-level regulatory mechanism of neural network behaviors. |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 11% |
| Unknown | 8 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 56% |
| Researcher | 2 | 22% |
| Student > Bachelor | 1 | 11% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 22% |
| Medicine and Dentistry | 2 | 22% |
| Environmental Science | 1 | 11% |
| Psychology | 1 | 11% |
| Computer Science | 1 | 11% |
| Other | 2 | 22% |