| How structure determines correlations in neuronal networks V Pernice, B Staude, S Cardanobile, S Rotter PLoS computational biology 7 (5), e1002059, 2011 | 342 | 2011 |
| Quantum transport on small-world networks: A continuous-time quantum walk approach O Mülken, V Pernice, A Blumen Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 76 (5 …, 2007 | 93 | 2007 |
| Recurrent interactions in spiking networks with arbitrary topology V Pernice, B Staude, S Cardanobile, S Rotter Physical Review E 85 (3), 031916, 2012 | 84 | 2012 |
| Reconstruction of sparse connectivity in neural networks from spike train covariances V Pernice, S Rotter Journal of Statistical Mechanics: Theory and Experiment 2013 (03), P03008, 2013 | 37 | 2013 |
| The relevance of network micro-structure for neural dynamics V Pernice, M Deger, S Cardanobile, S Rotter Frontiers in computational neuroscience 7, 72, 2013 | 35 | 2013 |
| From correlation to causation: Estimating effective connectivity from zero-lag covariances of brain signals J Schiefer, A Niederbühl, V Pernice, C Lennartz, J Hennig, P LeVan, ... PLoS computational biology 14 (3), e1006056, 2018 | 26 | 2018 |
| Universal behavior of quantum walks with long-range steps O Mülken, V Pernice, A Blumen Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 77 (2 …, 2008 | 17 | 2008 |
| Slow excitation trapping in quantum transport with long-range interactions O Mülken, V Pernice, A Blumen Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 78 (2 …, 2008 | 11 | 2008 |
| Interpretation of correlated neural variability from models of feed-forward and recurrent circuits V Pernice, RA da Silveira PLoS computational biology 14 (2), e1005979, 2018 | 8 | 2018 |
| Inferring General Relations between Network Characteristics from Specific Network Ensembles S Cardanobile, V Pernice, M Deger, S Rotter PloS one 7 (6), e37911, 2012 | 8 | 2012 |
| S. Rotter.(2011). Recurrent interactions in spiking networks with arbitrary topology V Pernice, B Staude, S Carndanobile Physical Review E 7, e1002059, 0 | 4 | |
| Reconstruction of connectivity in sparse neural networks from spike train covariances V Pernice, S Rotter Front Comput Neurosci Conference Abstract: Bernstein Conference, 2012 | 3 | 2012 |
| Structural motifs and correlation dynamics in networks of spiking neurons V Pernice, B Staude, S Rotter Front Comput Neurosci Conference Abstract: Bernstein Conference on …, 2010 | 2 | 2010 |
| Effect of network structure on spike train correlations in networks of integrate-and-fire neurons V Pernice, B Staude, S Cardanobile, S Rotter BMC Neuroscience 12 (Suppl 1), P272, 2011 | | 2011 |
| Inferring Causation from Correlation in Sparse Networks A Niederbühl, V Pernice, S Rotter | | |
| Relation between spike correlations and network structure V Pernice, S Cardanobile, B Staude, S Rotter | | |
| Scanning for relations of neuronal spiking activity and network structure across multifractal network ensembles M Deger, V Pernice, S Cardanobile, S Rotter | | |
Stefan RotterProfessor of Computational Neuroscience, Bernstein Center Freiburg, University of FreiburgVerified email at bio.uni-freiburg.de
