| Temporal whitening by power-law adaptation in neocortical neurons C Pozzorini, R Naud, S Mensi, W Gerstner Nature neuroscience 16 (7), 942-948, 2013 | 151 | 2013 |
| Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms S Mensi, R Naud, C Pozzorini, M Avermann, CCH Petersen, W Gerstner Journal of neurophysiology 107 (6), 1756-1775, 2012 | 87 | 2012 |
| Automated high-throughput characterization of single neurons by means of simplified spiking models C Pozzorini, S Mensi, O Hagens, R Naud, C Koch, W Gerstner PLoS Comput Biol 11 (6), e1004275, 2015 | 60 | 2015 |
| Whole-embryo modeling of early segmentation in Drosophila identifies robust and fragile expression domains J Bieler, C Pozzorini, F Naef Biophysical journal 101 (2), 287-296, 2011 | 42 | 2011 |
| Enhanced sensitivity to rapid input fluctuations by nonlinear threshold dynamics in neocortical pyramidal neurons S Mensi, O Hagens, W Gerstner, C Pozzorini PLoS computational biology 12 (2), e1004761, 2016 | 23 | 2016 |
| Automated point-neuron simplification of data-driven microcircuit models C Rössert, C Pozzorini, G Chindemi, AP Davison, C Eroe, J King, ... arXiv preprint arXiv:1604.00087, 2016 | 18 | 2016 |
| Single‐cell whole exome and targeted sequencing in NPM1/FLT3 positive pediatric acute myeloid leukemia C Walter, C Pozzorini, K Reinhardt, R Geffers, Z Xu, D Reinhardt, ... Pediatric blood & cancer 65 (2), e26848, 2018 | 8 | 2018 |
| Multiple timescales of adaptation in single neuron models C Pozzorini, R Naud, S Mensi, W Gerstner Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on …, 2010 | 4 | 2010 |
| Enhanced sensitivity to rapid input fluctuations by nonlinear threshold dynamics C Pozzorini, S Mensi, O Hagens, W Gerstner Frontiers in Neuroscience 1, 2015 | 1 | 2015 |
| Simplification of neural network models H Markram, W Gerstner, MO Gewaltig, C Rössert, EB Muller, C Pozzorini, ... US Patent App. 15/942,765, 2018 | | 2018 |
| Simplification of neural network models H Markram, W Gerstner, MO Gewaltig, C Rössert, EB Muller, C Pozzorini, ... | | 2018 |
| Computational principles of single neuron adaptation CA Pozzorini EPFL, 2014 | | 2014 |
| A nonlinear coupling between the firing threshold and the membrane potential enhances coding of rapid signals C Pozzorini, S Mensi, O Hagens, W Gerstner Front. Neuroinform. Conference Abstract: Neuroinformatics, 2013 | | 2013 |
| Automatic characterization of three cortical neuron types reveals two distinct adaptation mechanisms S Mensi, R Naud, C Pozzorini, M Avermann, CCH Petersen, W Gerstner BMC Neuroscience 12 (1), 1-1, 2011 | | 2011 |
Wulfram GERSTNERProfessor of Computer Science, EPFL, Brain Mind Institute, Ecole Polytechnique Federale de LausanneBestätigte E-Mail-Adresse bei epfl.ch
