Werner Van Geit

Affiliations: 
2003-2012 Theoretical Neurobiology University of Antwerp, Antwerpen, Vlaanderen, Belgium 
 2007-2011 Computational Neuroscience Unit Okinawa Institute of Science and Technology (OIST), Japan 
 2011- EPFL / Blue Brain Project 
Area:
Computational neuroscience
Google:
"Werner Van Geit"
Mean distance: 15.51 (cluster 6)
 
SNBCP
Cross-listing: Computational Biology Tree

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Publications

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Buccino AP, Damart T, Bartram J, et al. (2024) A Multimodal Fitting Approach to Construct Single-Neuron Models with Patch Clamp and High-Density Microelectrode Arrays. Neural Computation. 1-46
Reva M, Rössert C, Arnaudon A, et al. (2023) A universal workflow for creation, validation, and generalization of detailed neuronal models. Patterns (New York, N.Y.). 4: 100855
Arnaudon A, Reva M, Zbili M, et al. (2023) Controlling morpho-electrophysiological variability of neurons with detailed biophysical models. Iscience. 26: 108222
Iavarone E, Simko J, Shi Y, et al. (2023) Thalamic control of sensory processing and spindles in a biophysical somatosensory thalamoreticular circuit model of wakefulness and sleep. Cell Reports. 42: 112200
Nandi A, Chartrand T, Van Geit W, et al. (2022) Single-neuron models linking electrophysiology, morphology, and transcriptomics across cortical cell types. Cell Reports. 41: 111659
Nandi A, Chartrand T, Van Geit W, et al. (2022) Single-neuron models linking electrophysiology, morphology, and transcriptomics across cortical cell types. Cell Reports. 40: 111176
Chindemi G, Abdellah M, Amsalem O, et al. (2022) A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex. Nature Communications. 13: 3038
Kanari L, Dictus H, Chalimourda A, et al. (2022) Computational synthesis of cortical dendritic morphologies. Cell Reports. 39: 110586
Sáray S, Rössert CA, Appukuttan S, et al. (2021) 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
Dai K, Hernando J, Billeh YN, et al. (2020) The SONATA data format for efficient description of large-scale network models. Plos Computational Biology. 16: e1007696
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