| Year |
Citation |
Score |
| 2023 |
Reva M, Rössert C, Arnaudon A, Damart T, Mandge D, Tuncel A, Ramaswamy S, Markram H, Van Geit W. A universal workflow for creation, validation, and generalization of detailed neuronal models. Patterns (New York, N.Y.). 4: 100855. PMID 38035193 DOI: 10.1016/j.patter.2023.100855 |
0.662 |
|
| 2023 |
Arnaudon A, Reva M, Zbili M, Markram H, Van Geit W, Kanari L. Controlling morpho-electrophysiological variability of neurons with detailed biophysical models. Iscience. 26: 108222. PMID 37953946 DOI: 10.1016/j.isci.2023.108222 |
0.602 |
|
| 2023 |
Iavarone E, Simko J, Shi Y, Bertschy M, García-Amado M, Litvak P, Kaufmann AK, O'Reilly C, Amsalem O, Abdellah M, Chevtchenko G, Coste B, Courcol JD, Ecker A, Favreau C, ... ... Van Geit W, et al. Thalamic control of sensory processing and spindles in a biophysical somatosensory thalamoreticular circuit model of wakefulness and sleep. Cell Reports. 42: 112200. PMID 36867532 DOI: 10.1016/j.celrep.2023.112200 |
0.712 |
|
| 2022 |
Nandi A, Chartrand T, Van Geit W, Buchin A, Yao Z, Lee SY, Wei Y, Kalmbach B, Lee B, Lein E, Berg J, Sümbül U, Koch C, Tasic B, Anastassiou CA. Single-neuron models linking electrophysiology, morphology, and transcriptomics across cortical cell types. Cell Reports. 41: 111659. PMID 36351398 DOI: 10.1016/j.celrep.2022.111659 |
0.399 |
|
| 2022 |
Nandi A, Chartrand T, Van Geit W, Buchin A, Yao Z, Lee SY, Wei Y, Kalmbach B, Lee B, Lein E, Berg J, Sümbül U, Koch C, Tasic B, Anastassiou CA. Single-neuron models linking electrophysiology, morphology, and transcriptomics across cortical cell types. Cell Reports. 40: 111176. PMID 35947954 DOI: 10.1016/j.celrep.2022.111176 |
0.418 |
|
| 2022 |
Chindemi G, Abdellah M, Amsalem O, Benavides-Piccione R, Delattre V, Doron M, Ecker A, Jaquier AT, King J, Kumbhar P, Monney C, Perin R, Rössert C, Tuncel AM, Van Geit W, et al. A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex. Nature Communications. 13: 3038. PMID 35650191 DOI: 10.1038/s41467-022-30214-w |
0.703 |
|
| 2022 |
Kanari L, Dictus H, Chalimourda A, Arnaudon A, Van Geit W, Coste B, Shillcock J, Hess K, Markram H. Computational synthesis of cortical dendritic morphologies. Cell Reports. 39: 110586. PMID 35385736 DOI: 10.1016/j.celrep.2022.110586 |
0.621 |
|
| 2021 |
Sáray S, Rössert CA, Appukuttan S, Migliore R, Vitale P, Lupascu CA, Bologna LL, Van Geit W, Romani A, Davison AP, Muller E, Freund TF, Káli S. HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data. Plos Computational Biology. 17: e1008114. PMID 33513130 DOI: 10.1371/journal.pcbi.1008114 |
0.418 |
|
| 2020 |
Dai K, Hernando J, Billeh YN, Gratiy SL, Planas J, Davison AP, Dura-Bernal S, Gleeson P, Devresse A, Dichter BK, Gevaert M, King JG, Van Geit WAH, Povolotsky AV, Muller E, et al. The SONATA data format for efficient description of large-scale network models. Plos Computational Biology. 16: e1007696. PMID 32092054 DOI: 10.1371/Journal.Pcbi.1007696 |
0.322 |
|
| 2019 |
Gleeson P, Cantarelli M, Marin B, Quintana A, Earnshaw M, Sadeh S, Piasini E, Birgiolas J, Cannon RC, Cayco-Gajic NA, Crook S, Davison AP, Dura-Bernal S, Ecker A, Hines ML, ... ... van Geit W, et al. Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits. Neuron. PMID 31201122 DOI: 10.1016/J.Neuron.2019.05.019 |
0.344 |
|
| 2019 |
Iavarone E, Yi J, Shi Y, Zandt BJ, O'Reilly C, Van Geit W, Rössert C, Markram H, Hill SL. Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons. Plos Computational Biology. 15: e1006753. PMID 31095552 DOI: 10.1371/Journal.Pcbi.1006753 |
0.64 |
|
| 2018 |
Migliore R, Lupascu CA, Bologna LL, Romani A, Courcol JD, Antonel S, Van Geit WAH, Thomson AM, Mercer A, Lange S, Falck J, Rössert CA, Shi Y, Hagens O, Pezzoli M, et al. The physiological variability of channel density in hippocampal CA1 pyramidal cells and interneurons explored using a unified data-driven modeling workflow. Plos Computational Biology. 14: e1006423. PMID 30222740 DOI: 10.1371/Journal.Pcbi.1006423 |
0.64 |
|
| 2017 |
Masoli S, Rizza MF, Sgritta M, Van Geit W, Schürmann F, D'Angelo E. Single Neuron Optimization as a Basis for Accurate Biophysical Modeling: The Case of Cerebellar Granule Cells. Frontiers in Cellular Neuroscience. 11: 71. PMID 28360841 DOI: 10.3389/fncel.2017.00071 |
0.431 |
|
| 2016 |
Van Geit W, Gevaert M, Chindemi G, Rössert C, Courcol JD, Muller EB, Schürmann F, Segev I, Markram H. BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience. Frontiers in Neuroinformatics. 10: 17. PMID 27375471 DOI: 10.3389/Fninf.2016.00017 |
0.538 |
|
| 2016 |
Amsalem O, Van Geit W, Muller E, Markram H, Segev I. From Neuron Biophysics to Orientation Selectivity in Electrically Coupled Networks of Neocortical L2/3 Large Basket Cells. Cerebral Cortex (New York, N.Y. : 1991). PMID 27288316 DOI: 10.1093/Cercor/Bhw166 |
0.563 |
|
| 2015 |
Ramaswamy S, Courcol JD, Abdellah M, Adaszewski SR, Antille N, Arsever S, Atenekeng G, Bilgili A, Brukau Y, Chalimourda A, Chindemi G, Delalondre F, Dumusc R, Eilemann S, Gevaert ME, ... ... Van Geit W, et al. The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex. Frontiers in Neural Circuits. 9: 44. PMID 26500503 DOI: 10.3389/Fncir.2015.00044 |
0.731 |
|
| 2015 |
Markram H, Muller E, Ramaswamy S, Reimann MW, Abdellah M, Sanchez CA, Ailamaki A, Alonso-Nanclares L, Antille N, Arsever S, Kahou GA, Berger TK, Bilgili A, Buncic N, Chalimourda A, ... ... Van Geit W, et al. Reconstruction and Simulation of Neocortical Microcircuitry. Cell. 163: 456-492. PMID 26451489 DOI: 10.1016/J.Cell.2015.09.029 |
0.73 |
|
| 2008 |
Van Geit W, De Schutter E, Achard P. Automated neuron model optimization techniques: a review. Biological Cybernetics. 99: 241-51. PMID 19011918 DOI: 10.1007/s00422-008-0257-6 |
0.696 |
|
| 2008 |
Van Geit W, De Schutter E. Using Neurofitter to fit a Purkinje cell model to experimental data Bmc Neuroscience. 9. DOI: 10.1186/1471-2202-9-S1-P84 |
0.528 |
|
| 2007 |
Van Geit W, Achard P, De Schutter E. Neurofitter: a parameter tuning package for a wide range of electrophysiological neuron models. Frontiers in Neuroinformatics. 1: 1. PMID 18974796 DOI: 10.3389/neuro.11.001.2007 |
0.716 |
|
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