Year |
Citation |
Score |
2022 |
Senk J, Kriener B, Djurfeldt M, Voges N, Jiang HJ, Schüttler L, Gramelsberger G, Diesmann M, Plesser HE, van Albada SJ. Connectivity concepts in neuronal network modeling. Plos Computational Biology. 18: e1010086. PMID 36074778 DOI: 10.1371/journal.pcbi.1010086 |
0.551 |
|
2022 |
Dahmen D, Layer M, Deutz L, Dąbrowska PA, Voges N, von Papen M, Brochier T, Riehle A, Diesmann M, Grün S, Helias M. Global organization of neuronal activity only requires unstructured local connectivity. Elife. 11. PMID 35049496 DOI: 10.7554/eLife.68422 |
0.582 |
|
2021 |
Dąbrowska PA, Voges N, von Papen M, Ito J, Dahmen D, Riehle A, Brochier T, Grün S. On the Complexity of Resting State Spiking Activity in Monkey Motor Cortex. Cerebral Cortex Communications. 2: tgab033. PMID 34296183 DOI: 10.1093/texcom/tgab033 |
0.394 |
|
2012 |
Voges N, Perrinet L. Complex dynamics in recurrent cortical networks based on spatially realistic connectivities. Frontiers in Computational Neuroscience. 6: 41. PMID 22787446 DOI: 10.3389/Fncom.2012.00041 |
0.643 |
|
2012 |
Voges N, Blanchard S, Wendling F, David O, Benali H, Papadopoulo T, Clerc M, Bénar C. Modeling of the neurovascular coupling in epileptic discharges. Brain Topography. 25: 136-56. PMID 21706377 DOI: 10.1007/S10548-011-0190-1 |
0.42 |
|
2012 |
Voges N, Aertsen A, Rotter S. Structural models of cortical networks with long-range connectivity Mathematical Problems in Engineering. 2012. DOI: 10.1155/2012/484812 |
0.639 |
|
2011 |
Blanchard S, Papadopoulo T, Bénar CG, Voges N, Clerc M, Benali H, Warnking J, David O, Wendling F. Relationship between flow and metabolism in BOLD signals: insights from biophysical models. Brain Topography. 24: 40-53. PMID 21057867 DOI: 10.1007/S10548-010-0166-6 |
0.329 |
|
2011 |
Voges N, Perrinet L. The relationship between cortical network structure and the corresponding state space dynamics Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P345 |
0.639 |
|
2010 |
Voges N, Schüz A, Aertsen A, Rotter S. A modeler's view on the spatial structure of intrinsic horizontal connectivity in the neocortex. Progress in Neurobiology. 92: 277-92. PMID 20685378 DOI: 10.1016/j.pneurobio.2010.05.001 |
0.63 |
|
2010 |
Voges N, Perrinet L. Phase space analysis of networks based on biologically realistic parameters. Journal of Physiology, Paris. 104: 51-60. PMID 19909813 DOI: 10.1016/J.Jphysparis.2009.11.004 |
0.615 |
|
2010 |
Voges N, Guijarro C, Aertsen A, Rotter S. Models of cortical networks with long-range patchy projections. Journal of Computational Neuroscience. 28: 137-54. PMID 19866352 DOI: 10.1007/s10827-009-0193-z |
0.646 |
|
2009 |
Voges N, Perrine L. Recurrent cortical networks with realistic horizontal connectivities show complex dynamics Bmc Neuroscience. 10: 304. DOI: 10.1186/1471-2202-10-S1-P304 |
0.593 |
|
2007 |
Voges N, Aertsen A, Rotter S. Statistical analysis of spatially embedded networks: From grid to random node positions Neurocomputing. 70: 1833-1837. DOI: 10.1016/j.neucom.2006.10.126 |
0.566 |
|
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