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
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【 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.

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