Year |
Citation |
Score |
2019 |
Vrieler N, Loyola S, Yarden-Rabinowitz Y, Hoogendorp J, Medvedev N, Hoogland TM, De Zeeuw CI, De Schutter E, Yarom Y, Negrello M, Torben-Nielsen B, Uusisaari MY. Variability and directionality of inferior olive neuron dendrites revealed by detailed 3D characterization of an extensive morphological library. Brain Structure & Function. PMID 30929054 DOI: 10.1007/S00429-019-01859-Z |
0.574 |
|
2015 |
Sudhakar SK, Torben-Nielsen B, De Schutter E. Cerebellar Nuclear Neurons Use Time and Rate Coding to Transmit Purkinje Neuron Pauses. Plos Computational Biology. 11: e1004641. PMID 26630202 DOI: 10.1371/journal.pcbi.1004641 |
0.721 |
|
2015 |
Yalgin C, Ebrahimi S, Delandre C, Yoong LF, Akimoto S, Tran H, Amikura R, Spokony R, Torben-Nielsen B, White KP, Moore AW. Centrosomin represses dendrite branching by orienting microtubule nucleation. Nature Neuroscience. 18: 1437-45. PMID 26322925 DOI: 10.1038/Nn.4099 |
0.397 |
|
2015 |
Yalgin C, Ebrahimi S, Delandre C, Yoong LF, Akimoto S, Tran H, Amikura R, Spokony R, Torben-Nielsen B, White KP, Moore AW. Centrosomin represses dendrite branching by orienting microtubule nucleation Nature Neuroscience. DOI: 10.1038/nn.4099 |
0.397 |
|
2014 |
Torben-Nielsen B, De Schutter E. Context-aware modeling of neuronal morphologies. Frontiers in Neuroanatomy. 8: 92. PMID 25249944 DOI: 10.3389/fnana.2014.00092 |
0.727 |
|
2014 |
Laudanski J, Torben-Nielsen B, Segev I, Shamma S. Spatially distributed dendritic resonance selectively filters synaptic input. Plos Computational Biology. 10: e1003775. PMID 25144440 DOI: 10.1371/journal.pcbi.1003775 |
0.665 |
|
2014 |
Torben-Nielsen B. An efficient and extendable python library to analyze neuronal morphologies. Neuroinformatics. 12: 619-22. PMID 24924300 DOI: 10.1007/s12021-014-9232-7 |
0.533 |
|
2014 |
Close TG, Torben-Nielsen B, De Schutter E. Reduction of multi-compartmental biophysical models by incremental, automated retuning of their parameters and synaptic weights Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P178 |
0.623 |
|
2013 |
Stiefel KM, Torben-Nielsen B, Coggan JS. Proposed evolutionary changes in the role of myelin. Frontiers in Neuroscience. 7: 202. PMID 24265603 DOI: 10.3389/Fnins.2013.00202 |
0.617 |
|
2013 |
Wybo WA, Stiefel KM, Torben-Nielsen B. The Green's function formalism as a bridge between single- and multi-compartmental modeling. Biological Cybernetics. 107: 685-94. PMID 24037222 DOI: 10.1007/s00422-013-0568-0 |
0.789 |
|
2013 |
Lefler Y, Torben-Nielsen B, Yarom Y. Oscillatory activity, phase differences, and phase resetting in the inferior olivary nucleus. Frontiers in Systems Neuroscience. 7: 22. PMID 23801944 DOI: 10.3389/fnsys.2013.00022 |
0.656 |
|
2013 |
Memelli H, Torben-Nielsen B, Kozloski J. Self-referential forces are sufficient to explain different dendritic morphologies. Frontiers in Neuroinformatics. 7: 1. PMID 23386828 DOI: 10.3389/fninf.2013.00001 |
0.486 |
|
2012 |
Torben-Nielsen B, Segev I, Yarom Y. The generation of phase differences and frequency changes in a network model of inferior olive subthreshold oscillations. Plos Computational Biology. 8: e1002580. PMID 22792054 DOI: 10.1371/journal.pcbi.1002580 |
0.747 |
|
2010 |
Torben-Nielsen B, Stiefel KM. An inverse approach for elucidating dendritic function. Frontiers in Computational Neuroscience. 4: 128. PMID 21258425 DOI: 10.3389/fncom.2010.00128 |
0.756 |
|
2010 |
Torben-Nielsen B, Stiefel KM. Wide-field motion integration in fly VS cells: insights from an inverse approach. Plos Computational Biology. 6: e1000932. PMID 20957028 DOI: 10.1371/journal.pcbi.1000932 |
0.695 |
|
2010 |
Torben-Nielsen B, Uusisaari M, Stiefel KM. A comparison of methods to determine neuronal phase-response curves. Frontiers in Neuroinformatics. 4: 6. PMID 20431724 DOI: 10.3389/Fninf.2010.00006 |
0.699 |
|
2009 |
Torben-Nielsen B, Stiefel KM. Systematic mapping between dendritic function and structure. Network (Bristol, England). 20: 69-105. PMID 19568982 DOI: 10.1080/09548980902984833 |
0.765 |
|
2009 |
Torben-Nielsen B, Stiefel KM. Multiscale modeling of cortical neural networks Aip Conference Proceedings. 1167: 15-25. DOI: 10.1063/1.3246614 |
0.628 |
|
2008 |
Torben-Nielsen B, Vanderlooy S, Postma EO. Non-parametric algorithmic generation of neuronal morphologies. Neuroinformatics. 6: 257-77. PMID 18797828 DOI: 10.1007/s12021-008-9026-x |
0.431 |
|
2008 |
Torben-Nielsen B, Tuyls K, Postma E. EvOL-Neuron: Neuronal morphology generation Neurocomputing. 71: 963-972. DOI: 10.1016/j.neucom.2007.02.016 |
0.572 |
|
2007 |
Torben-Nielsen B, Stiefel KM. Systematic mapping of neural function to morphology Bmc Neuroscience. 8: 108. DOI: 10.1186/1471-2202-8-S2-P108 |
0.761 |
|
2007 |
Torben-Nielsen B, Tuyls K, Postma EO. On the neuronal morphology-function relationship: A synthetic approach Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4366: 131-144. |
0.496 |
|
2006 |
Torben-Nielsen B, Tuyls K, Postma EO. Shaping realistic neuronal morphologies: An evolutionary computation method Ieee International Conference On Neural Networks - Conference Proceedings. 573-580. |
0.52 |
|
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