Centrosomin represses dendrite branching by orienting microtubule nucleation C Yalgin, S Ebrahimi, C Delandre, LF Yoong, S Akimoto, H Tran, ... Nature neuroscience 18 (10), 1437-1445, 2015 | 118 | 2015 |
Context-aware modeling of neuronal morphologies B Torben-Nielsen, E De Schutter Frontiers in neuroanatomy 8, 92, 2014 | 50 | 2014 |
Electrical compartmentalization in neurons WAM Wybo, B Torben-Nielsen, T Nevian, MO Gewaltig Cell reports 26 (7), 1759-1773. e7, 2019 | 46 | 2019 |
The generation of phase differences and frequency changes in a network model of inferior olive subthreshold oscillations B Torben-Nielsen, I Segev, Y Yarom PLoS computational biology 8 (7), e1002580, 2012 | 45 | 2012 |
An inverse approach for elucidating dendritic function B Torben-Nielsen, KM Stiefel Frontiers in computational neuroscience 4, 128, 2010 | 42 | 2010 |
Design and implementation of multi-signal and time-varying neural reconstructions S Nanda, H Chen, R Das, S Bhattacharjee, H Cuntz, B Torben-Nielsen, ... Scientific data 5 (1), 1-10, 2018 | 36 | 2018 |
The computing dendrite H Cuntz, MW Remme, B Torben-Nielsen AMC 10, 12, 2014 | 34 | 2014 |
Proposed evolutionary changes in the role of myelin KM Stiefel, B Torben-Nielsen, JS Coggan Frontiers in neuroscience 7, 202, 2013 | 33 | 2013 |
Cerebellar nuclear neurons use time and rate coding to transmit Purkinje neuron pauses SK Sudhakar, B Torben-Nielsen, E De Schutter PLoS computational biology 11 (12), e1004641, 2015 | 31 | 2015 |
An efficient and extendable python library to analyze neuronal morphologies B Torben-Nielsen Neuroinformatics 12, 619-622, 2014 | 31 | 2014 |
Oscillatory activity, phase differences, and phase resetting in the inferior olivary nucleus Y Lefler, B Torben-Nielsen, Y Yarom Frontiers in systems neuroscience 7, 22, 2013 | 31 | 2013 |
A comparison of methods to determine neuronal phase-response curves B Torben-Nielsen, M Uusisaari, K Stiefel Frontiers in neuroinformatics 4, 1328, 2010 | 31 | 2010 |
Variability and directionality of inferior olive neuron dendrites revealed by detailed 3D characterization of an extensive morphological library N Vrieler, S Loyola, Y Yarden-Rabinowitz, J Hoogendorp, N Medvedev, ... Brain Structure and Function 224 (4), 1677-1695, 2019 | 29 | 2019 |
Self-referential forces are sufficient to explain different dendritic morphologies H Memelli, B Torben-Nielsen, J Kozloski Frontiers in Neuroinformatics 7, 1, 2013 | 28 | 2013 |
Spatially distributed dendritic resonance selectively filters synaptic input J Laudanski, B Torben-Nielsen, I Segev, S Shamma PLoS computational biology 10 (8), e1003775, 2014 | 23 | 2014 |
Non-parametric algorithmic generation of neuronal morphologies B Torben-Nielsen, S Vanderlooy, EO Postma Neuroinformatics 6, 257-277, 2008 | 23 | 2008 |
A sparse reformulation of the Green’s function formalism allows efficient simulations of morphological neuron models WAM Wybo, D Boccalini, B Torben-Nielsen, MO Gewaltig Neural computation 27 (12), 2587-2622, 2015 | 22 | 2015 |
Systematic mapping between dendritic function and structure B Torben-Nielsen, KM Stiefel Network: Computation in Neural Systems 20 (2), 69-105, 2009 | 19 | 2009 |
The Green’s function formalism as a bridge between single-and multi-compartmental modeling WAM Wybo, KM Stiefel, B Torben-Nielsen Biological cybernetics 107, 685-694, 2013 | 13 | 2013 |
Introduction to dendritic morphology B Torben-Nielsen, H Cuntz The computing dendrite: from structure to function, 3-22, 2013 | 13 | 2013 |