How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime
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- 作者：Birgit Kriener (27)
Moritz Helias (28)
Stefan Rotter (30) (31)
Markus Diesmann (28) (29)
Gaute T Einevoll (27) - 刊名：BMC Neuroscience
- 出版年：2013
- 出版时间：July 2013
- 年：2013
- 卷：14
- 期：1-supp
- 全文大小：63KB
- 参考文献：1. Amit DJ, Tsodyks MV: Quantitative study of attractor neural network retrieving at low spike rates I: Substrate - spikes, rates and neuronal gain. / Network 1991, 2:259鈥?73. CrossRef
2. De la Rocha J, Doiron B, Shea-Brown E, Josic K, Reyes A: Correlation between neural spike trains increases with rate. / Nature 2007,448(16):802鈥?07. CrossRef
3. Tetzlaff T, Helias M, Einevoll GT, Diesmann M: Decorrelation of neural network activity by inhibitory feedback. / PLoS Comput Biol 2012,8(8):e1002596. CrossRef - 作者单位：Birgit Kriener (27)
Moritz Helias (28)
Stefan Rotter (30) (31)
Markus Diesmann (28) (29)
Gaute T Einevoll (27)
27. Department of Mathematical Sciences and Technology, Norwegian University of Life Science, 脜s, Norway
28. Inst. of Neuroscience and Medicine (INM-6) and Inst. for Advanced Simulation (IAS-6), J眉lich Research Centre and JARA, J眉lich, Germany
30. Faculty of Biology, University of Freiburg, Freiburg, Germany
31. Bernstein Center Freiburg, Freiburg, Germany
29. Medical Faculty, RWTH Aachen, Aachen, Germany
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