Christian Pozzorini
Christian Pozzorini
Postdoctoral Fellow, Laboratory of Computational Neuroscience, EPFL
Bestätigte E-Mail-Adresse bei epfl.ch
Titel
Zitiert von
Zitiert von
Jahr
Temporal whitening by power-law adaptation in neocortical neurons
C Pozzorini, R Naud, S Mensi, W Gerstner
Nature neuroscience 16 (7), 942-948, 2013
1652013
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
952012
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
662015
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
442011
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
272016
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
192016
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
72018
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
42010
Enhanced sensitivity to rapid input fluctuations by nonlinear threshold dynamics
C Pozzorini, S Mensi, O Hagens, W Gerstner
Frontiers in Neuroscience 1, 2015
12015
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
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