Effective neuronal refractoriness dominates the statistics of superimposed spike trains
© Deger et al; licensee BioMed Central Ltd. 2011
Published: 18 July 2011
Partially funded by BMBF grant 01GQ0420 to BCCN Freiburg, and DFG grant to SFB 780, subproject C4.
- Maimon G, Assad JA: Beyond poisson: Increased spike-time regularity across primate parietal cortex. Neuron. 2009, 62: 426-440. 10.1016/j.neuron.2009.03.021.PubMed CentralView ArticlePubMedGoogle Scholar
- Brunel N: Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons. J Comput Neurosci. 2000, 8 (3): 183-208. 10.1023/A:1008925309027.View ArticlePubMedGoogle Scholar
- Lindner B: Superposition of many independent spike trains is generally not a Poisson process. Phys Rev E. 2006, 73: 022-901.Google Scholar
- Johnson DH: Point process models of single-neuron discharges. J Comput Neurosci. 1996, 3 (4): 275-299. 10.1007/BF00161089.View ArticlePubMedGoogle Scholar
- Câteau H, Reyes A: Relation between single neuron and population spiking statistics and effects on network activity. Phys Rev Lett. 2006, 96: 058-101. 10.1103/PhysRevLett.96.058101.View ArticleGoogle Scholar
- Cox DR, Smith WL: On the superposition of renewal processes. Biometrika. 1954, 41 (1/2): 91-99. 10.2307/2333008.View ArticleGoogle Scholar
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