期刊论文详细信息
| BMC Neuroscience | |
| Inferring network connectivity using kinetic Ising models | |
| Poster Presentation | |
| Hong-Li Zeng1  Erik Aurell2  Joanna Tyrcha3  Andreas Thorning4  John A Hertz5  Yasser Roudi6  | |
| [1] Department of Applied Physics, Helsinki University of Technology, 02015, TKK Espoo, Finland;Department of Computational Biology, Royal Institute of Technology, 106 91, Stockholm, Sweden;Department of Information and Computer Science, Helsinki University of Technology, 02015, TKK Espoo, Finland;Institute of Mathematics, Stockholm University, 106 91, Stockholm, Sweden;Niels Bohr Institute, Copenhagen University, 2100, Copenhagen Ø, Denmark;Niels Bohr Institute, Copenhagen University, 2100, Copenhagen Ø, Denmark;Nordita, 106 91, Stockholm, Sweden;Nordita, 106 91, Stockholm, Sweden; | |
| 关键词: Firing Rate; Functional Connectivity; Ising Model; Approximate Formula; Connection Strength; | |
| DOI : 10.1186/1471-2202-11-S1-P51 | |
| 来源: Springer | |
PDF
|
|
【 摘 要 】
【 授权许可】
CC BY
© Hertz et al; licensee BioMed Central Ltd. 2010. This article is published under license to BioMed Central Ltd.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202311109062778ZK.pdf | 359KB |
【 参考文献 】
- [1]
- [2]
- [3]
PDF