Brüderle et al. 2011 | Brüderle, D., Petrovici, M. A., Vogginger, B., Ehrlich, M., Pfeil, T., Millner, S., Grübl, A., Wendt, K., Müller, E., Schwartz, M.-O., de Oliveira, D. H., Jeltsch, S., Fieres, J., Schilling, M., Müller, P., Breitwieser, O., Petkov, V., Muller, L., Davison, A. P., Krishnamurthy, P., Kremkow, J., Lundqvist, M., Muller, E., Partzsch, J., Scholze, S., Zühl, L., Mayr, C., Destexhe, A., Diesmann, M., Potjans, T. C., Lansner, A., Schüffny, R., Schemmel, J. and Meier, K. | A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems | Biological Cybernetics (2011) 104(4-5): 263-296 doi:10.1007/s00422-011-0435-9 |
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Muller and Destexhe 2012 | Muller, L. and Destexhe, A. | Propagating waves in thalamus, cortex and the thalamocortical system: Experiments and models | Journal of Physiology-Paris (2012) 106 (5-6): 222-238 doi:10.1016/j.jphysparis.2012.06.005 |
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Muller et al. 2014 | Muller, L.E., Reynaud, A., Chavane, F. and Destexhe, A. | The stimulus-evoked population response in visual cortex of awake monkey is a propagating wave | Nature Communications (2014) 5: 3675 doi:10.1038/ncomms4675 |
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Muller et al. 2014b | Muller, L.E., Destexhe, A. and Rudolph-Lilith, M. | Brain networks: small-worlds, after all? | New Journal of Physics (2014) 16: 105004 doi:10.1088/1367-2630/16/10/105004 |
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Petrovici et al. 2014 | Petrovici, M. A., Vogginger, B., Müller, P., Breitwieser, O., Lundqvist, M., Muller, L., Ehrlich, M., Destexhe, A., Lansner, A., Schüffny, R., Schemmel, J. and Meier, K. | Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms | PLoS ONE (2014) 9(10): e108590 doi:10.1371/journal.pone.0108590 |
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Rudolph-Lilith and Muller 2014 | Rudolph-Lilith, M. and Muller, L. E. | On a representation of the Verhulst logistic map | Discrete Mathematics (2014) 324: 19-27 doi:10.1016/j.disc.2014.01.018 |
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Rudolph-Lilith and Muller 2014b | Rudolph-Lilith, M. and Muller, L. E. | Algebraic approach to small-world network models | Phys. Rev. E (2014) 89: 012812 doi:10.1103/PhysRevE.89.012812 |
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