Werner Van Geit
Werner Van Geit
Group Leader Cells, BlueBrain Project, EPFL
Verified email at - Homepage
Cited by
Cited by
Reconstruction and simulation of neocortical microcircuitry
H Markram, E Muller, S Ramaswamy, MW Reimann, M Abdellah, ...
Cell 163 (2), 456-492, 2015
Automated neuron model optimization techniques: a review
W Van Geit, E De Schutter, P Achard
Biological cybernetics 99 (4), 241-251, 2008
The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex
S Ramaswamy, JD Courcol, M Abdellah, SR Adaszewski, N Antille, ...
Frontiers in neural circuits 9, 44, 2015
BluePyOpt: leveraging open source software and cloud infrastructure to optimise model parameters in neuroscience
W Van Geit, M Gevaert, G Chindemi, C Rössert, JD Courcol, EB Muller, ...
Frontiers in neuroinformatics 10, 17, 2016
Computational modeling methods for neuroscientists
E Schutter
The MIT Press, 2010
Neurofitter: a parameter tuning package for a wide range of electrophysiological neuron models
W Van Geit, P Achard, E De Schutter
Frontiers in neuroinformatics, 1, 2007
The physiological variability of channel density in hippocampal CA1 pyramidal cells and interneurons explored using a unified data-driven modeling workflow
R Migliore, CA Lupascu, LL Bologna, A Romani, JD Courcol, S Antonel, ...
PLoS computational biology 14 (9), e1006423, 2018
Open source brain: a collaborative resource for visualizing, analyzing, simulating, and developing standardized models of neurons and circuits
P Gleeson, M Cantarelli, B Marin, A Quintana, M Earnshaw, S Sadeh, ...
Neuron 103 (3), 395-411. e5, 2019
Single neuron optimization as a basis for accurate biophysical modeling: the case of cerebellar granule cells
S Masoli, MF Rizza, M Sgritta, W Van Geit, F Schürmann, E D'Angelo
Frontiers in cellular neuroscience 11, 71, 2017
From neuron biophysics to orientation selectivity in electrically coupled networks of neocortical L2/3 large basket cells
O Amsalem, W Van Geit, E Muller, H Markram, I Segev
Cerebral Cortex 26 (8), 3655-3668, 2016
The SONATA data format for efficient description of large-scale network models
K Dai, J Hernando, YN Billeh, SL Gratiy, J Planas, AP Davison, ...
PLoS computational biology 16 (2), e1007696, 2020
Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons
E Iavarone, J Yi, Y Shi, BJ Zandt, C O’reilly, W Van Geit, C Rössert, ...
PLOS Computational Biology 15 (5), e1006753, 2019
Modeling complex neurons
E De Schutter, W Van Geit
Computational modeling methods for neuroscientists Cambridge: MIT, 259-84, 2009
Single-neuron models linking electrophysiology, morphology and transcriptomics across cortical cell types
A Nandi, T Chartrand, W Van Geit, A Buchin, Z Yao, SY Lee, Y Wei, ...
bioRxiv, 2020
Computational synthesis of cortical dendritic morphologies
L Kanari, H Dictus, A Chalimourda, A Arnaudon, W Van Geit, B Coste, ...
Cell Reports 39 (1), 110586, 2022
A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex
G Chindemi, M Abdellah, O Amsalem, R Benavides-Piccione, V Delattre, ...
Nature Communications 13 (1), 1-19, 2022
HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data
S Sáray, CA Rössert, S Appukuttan, R Migliore, P Vitale, CA Lupascu, ...
PLoS computational biology 17 (1), e1008114, 2021
Systematic comparison and automated validation of detailed models of hippocampal neurons
S Sáray, CA Rössert, S Appukuttan, R Migliore, P Vitale, CA Lupascu, ...
bioRxiv, 2020
Parameter searching
P Achard, W Van Geit, G LeMasson, E De Schutter
Computational modeling methods for neuroscientists, 2009
Hill. 2019.“Experimentally-Constrained Biophysical Models of Tonic and Burst Firing Modes in Thalamocortical Neurons.”
E Iavarone, J Yi, Y Shi, BJ Zandt, C O’Reilly, W Van Geit, C Rössert, ...
PLoS computational biology 15 (5), e1006753, 0
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