| Temporal whitening by power-law adaptation in neocortical neurons C Pozzorini, R Naud, S Mensi, W Gerstner Nature neuroscience 16 (7), 942-948, 2013 | 202 | 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 | 117 | 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 computational biology 11 (6), e1004275, 2015 | 92 | 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 | 48 | 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 | 38 | 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 | 27 | 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 | 14 | 2018 |
| High-throughput nucleotide resolution predictions of assay limitations increase the reliability and concordance of clinical tests J Bieler, C Pozzorini, J Garcia, AC Tuck, M Macheret, A Willig, S Couraud, ... JCO Clinical Cancer Informatics 5, 1085-1095, 2021 | 5 | 2021 |
| 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 |
| A deep learning approach for improved detection of homologous recombination deficiency from shallow genomic profiles G Andre, T Coletta, C Pozzorini, AC Marques, J Bieler, R Kempfer, ... bioRxiv, 2022.07. 06.498851, 2022 | 1 | 2022 |
| 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 |
| Computational principles of single neuron adaptation CA Pozzorini EPFL, 2014 | 1 | 2014 |
| Methods for detecting bialllic loss of function in next-generation sequencing genomic data C Pozzorini, XU Zhenyu US Patent App. 18/522,167, 2024 | | 2024 |
| GIInger predicts homologous recombination deficiency and patient response to PARPi treatment from shallow genomic profiles C Pozzorini, G Andre, T Coletta, A Buisson, J Bieler, L Ferrer, R Kempfer, ... Cell Reports Medicine 4 (12), 2023 | | 2023 |
| Methods for detecting biallelic loss of function in next-generation sequencing genomic data C Pozzorini, XU Zhenyu US Patent 11,830,579, 2023 | | 2023 |
| Benefits of applying molecular barcoding systems are not uniform across different genomic applications J Bieler, S Kubik, M Macheret, C Pozzorini, A Willig, Z Xu Journal of Translational Medicine 21 (1), 305, 2023 | | 2023 |
| Methods for dna library generation to facilitate the detection and reporting of low frequency variants M Macheret, C Pozzorini, A Willig, J Bieler, XU Zhenyu US Patent App. 17/438,461, 2022 | | 2022 |
| Methods for identifying chromosomal spatial instability such as homologous repair deficiency in low coverage next-generation sequencing data C Pozzorini, G Andre, T Coletta, XU Zhenyu US Patent App. 17/688,791, 2022 | | 2022 |
| Simplification of neural network models H Markram, W Gerstner, MO Gewaltig, C Rössert, EB Muller, C Pozzorini, ... US Patent App. 17/658,462, 2022 | | 2022 |
| Simplification of neural models that include arborized projections H Markram, W Gerstner, MO Gewaltig, C Rössert, EB Muller, C Pozzorini, ... US Patent 11,301,750, 2022 | | 2022 |
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