Journal publications

  1. (2015) Sudhakar S.K., Torben-Nielsen B., De Schutter E., Cerebellar nuclear neurons use time and rate coding to transmit Purkinje neuron pauses. PLoS Comp. Biol., 12: e1004641
  2. (2015) Yalgin C., Ebrahimi S., Delandre C., Li F.Y., Akimoto S., Tran H., Amikura R., Spokony R., Torben-Nielsen B., White K.P., Moore A.W., Centrosomin represses dendrite branching by orienting microtubule nucleation. Nature Neuroscience, 18(10):1437-1445 (here)
  3. (2015) Wybo, W., Boccalini, D., Torben-Nielsen, B., Gewaltig M-O., A sparse reformulation of the Green's function formalism allows efficient simulations of morphological neuron models. Neural computation, 27:2587–2622.
  4. (2014) Torben-Nielsen, B., De Schutter, E., Context-aware modeling of neuronal morphologies. Frontiers in neuroanatomy, 8:92. doi: 10.3389/fnana.2014.00092 (here).
  5. In memory of Jonathan Laudanski.
    (2014) Laudanski, J.*, Torben-Nielsen, B.*, Segev, I., Shamma, S., Spatially distributed dendritic resonance selectively filters synaptic input. PLoS Comp. Biol., 10(8): e1003775. doi:10.1371/journal.pcbi.1003775 (here)
  6. (2014) Torben-Nielsen, B., An efficient and extendable Python library to analyze neuronal morphologies. Neuroinformatics, DOI: 10.1007/s12021-014-9232-7
  7. (2014) Torben-Nielsen, B., Synthetic neuronal morphology. Encyclopedia of Computational neuroscience, (here)
  8. (2013) Stiefel K.M., Torben-Nielsen, B., Coggan, J.S.,Proposed evolutionary changes in the role of myelin. Front. Neurosci. 7:202 (download)
  9. (2013) Wybo, W., Stiefel, K.M., Torben-Nielsen, B., The Green's function formalism as a bridge between single and multi-compartmental modeling. Biological Cybernetics (in press) (ArXiv)
  10. (2013) Lefler Y., Torben-Nielsen B., Yarom Y, Oscillatory activity, phase differences and phase resetting in the inferior olivary nucleus. Front. Systems Neuroscience. 7:22 Download
  11. (2013) Memelli H.*, Torben-Nielsen B.*, Kozloski J. Self-referential forces are sufficient to explain different dendritic morphologies. Front. Neuroinform. 7:1. Download (with commentary)
  12. (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 Comput Biol 8(7): e1002580. Download
  13. (2010) Torben-Nielsen B., Stiefel K.M., Wide-field motion integration in fly VS cells: insights from an inverse approach. PLoS Comput Biol 6(9): e1000932. doi:10.1371/journal.pcbi.1000932
  14. (2010) Torben-Nielsen B., Stiefel K.M., An inverse approach for elucidating dendritic function. Front. Comput. Neurosci. 4:128. doi:10.3389/fncom.2010.00128. Download
  15. (2010) Torben-Nielsen B., Marylka Uusisaari, Stiefel K.M., A comparison of methods to determine neuronal phase-response curves. Front. Neuroinform. 4:6. doi: 10.3389/fninf.2010.00006. Download
  16. (2009) Torben-Nielsen B., Stiefel K.M., Systematic mapping between dendritic function and structure. Network: Computation in Neural Systems, 20(2): 69 - 105 pdf
  17. (2008) Torben-Nielsen B., Vanderlooy S., Postma E.O., Non-parametric algorithmic generation of neuronal morphologies. Neuroinformatics 6:257--277. pdf
  18. (2008) Torben-Nielsen, B., Tuyls, K. , Postma E.O., EvOL-Neuron: virtual neuron generation, Neurocomputing 71(4-6): 963-972. pdf
  19. (2006) Reeve, R., van Schaik, A., Jin, C., Hamilton, T., Torben-Nielsen, B., Webb, B., Directional hearing in a silicon cricket, BioSystems 87(2-3):307--313.pdf

Refereed book chapters

  1. (2013) Torben-Nielsen, B., Cuntz, H., Dendritic morphology. in "The computing dendrite: from structure to function", Eds. Cuntz H., Remme M. and Torben-Nielsen B. Springer, New York (in press)
  2. (2013) Remme, M., Torben-Nielsen, B., Dendritic computation. in "The computing dendrite: from structure to function", Eds. Cuntz H., Remme M. and Torben-Nielsen B. Springer, New York (in press)
  3. (2013) Stiefel, K.M., Torben-Nielsen, B., Optimized Dendritic Morphologies for Noisy Inputs. in "The computing dendrite: from structure to function", Eds. Cuntz H., Remme M. and Torben-Nielsen B. Springer, New York (in press)

LNAI/LNCS/LNBI - Refereed proceedings

  1. (2013) Alva, P., de Sousa, G., Torben-Nielsen, B., Maex, R., Davey, N., Adams, R. and Steuber, V. Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping. ICANN 2013 Proceedings, LNCS 8131, pp 319-326 , Springer-Verlag, Heidelberg.
  2. (2007) Torben-Nielsen, B., Evolving Virtual Neuronal Morphologies: a case study in Genetic L-Systems Programming. ECAL Proceedings, LNAI 4648 eds. Almeide e Costa, F. et al., pp. 1089-1099, Springer-Verlag, Heidelberg.
  3. (2007) Torben-Nielsen, B., Tuyls, K. , Postma E.O., On the neuronal morphology-function relationship: a synthetic approach, LNBI 4366 eds. Tuyls, K. et al, pp. 131-144, Springer-Verlag, Heidelberg.
  4. (2006) Torben-Nielsen, B., Tuyls, K. , Postma E.O., Shaping Realistic Neuronal Morphologies: an Evolutionary Computation Method, WCCI2006, International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada.
  5. (2006) Torben-Nielsen, B., Tuyls, K. , Postma E.O., Towards Robotic Self-repair by means of Neuronal Remodelling, Kovacs, T. and Marshall, James A.R. (Eds.): AISB'06, Biologically Inspired Robotics (BIRO-NET), Bristol, UK.
  6. (2005) Torben-Nielsen, B., de Croon, G., Postma, E.O., Timing is important: delaying action execution in Plastic Neural Networks, BNAIC 2005.
  7. (2005) Torben-Nielsen, B., Webb, B., Reeve, R., New ears for a robot cricket, W. Duch et al. (Eds.): ICANN 2005, LNCS 3696, pages 297-304.