Werner Alfons Hilda Van Geit

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Related publications (29)

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Data driven building of realistic neuron model using IBEA and CMA evolution strategies

Henry Markram, Werner Alfons Hilda Van Geit, Tanguy Pierre Louis Damart

Recently the building of large neuronal circuits from realistic neuron models has gained traction. This bottom-up approach relies on the accurate description of the primitive elements composing the brain such as neurons and astrocytes, that are then aggreg ...

ACM2020

Computational synthesis of cortical dendritic morphologies

Henry Markram, Kathryn Hess Bellwald, Werner Alfons Hilda Van Geit, Lida Kanari, Alexis Arnaudon, Julian Charles Shillcock, Benoît Jean-Albert Coste, Hugo Thabo Dictus

Neuronal morphologies provide the foundation for the electrical behavior of neurons, the connectomes they form, and the dynamical properties of the brain. Comprehensive neuron models are essential for defining cell types, discerning their functional roles, ...

CELL PRESS2022

Associations between in vitro, in vivo and in silico cell classes in mouse primary visual cortex

Werner Alfons Hilda Van Geit

The brain consists of many cell classes yet in vivo electrophysiology recordings are typically unable to identify and monitor their activity in the behaving animal. Here, we employed a systematic approach to link cellular, multi-modal in vitro properties f ...

Nature Research2023

A universal workflow for creation, validation and generalization of detailed neuronal models

Henry Markram, Werner Alfons Hilda Van Geit, Srikanth Ramaswamy, Alexis Arnaudon, Christian Andreas Rössert, Mustafa Anil Tuncel, Maria Reva, Tanguy Pierre Louis Damart, Darshan Mandge

Detailed single neuron modeling is widely used to study neuronal functions. While cellular and functional diversity across the mammalian cortex is vast, most of the available computational tools are dedicated to the reproduction of a small set of specific ...

Cambridge2023

Hybrid Parameter Optimization Methods

Werner Alfons Hilda Van Geit

Springer New York2015

Thalamic control of sensory processing and spindles in a biophysical somatosensory thalamoreticular circuit model of wakefulness and sleep

Henry Markram, Sean Lewis Hill, Rodrigo de Campos Perin, Michael Reimann, Marwan Muhammad Ahmed Abdellah, Werner Alfons Hilda Van Geit, Matthias Wolf, James Gonzalo King, Ying Shi, András Ecker, Rajnish Ranjan, Jean-Denis Georges Emile Courcol, Pramod Shivaji Kumbhar, Christian O'Reilly, Michael Emiel Gevaert, Fernando Joaquim Leite Pereira, Mustafa Anil Tuncel, Nadir Roman Guerrero, Elisabetta Iavarone, Mohameth François Sy, Benoît Jean-Albert Coste, Ioannis Magkanaris, Cyrille Pierre Henri Favreau, Genrich Ivaska, Anna-Kristin Kaufmann, Joni Henrikki Herttuainen, Grigori Chevtchenko, Samuel Claude Kerrien, Jayakrishnan Harikrishnavilas Raveendran Nair, Adrien Christian Fleury, Marine Laure Bertschy, Fabien Petitjean, Liviu Soltuzu, Alexander Désiré Ulbrich, Polina Litvak, Vignayanandam Ravindernath Muddapu, Patrycja Lurie

2023

Werner Alfons Hilda Van Geit

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Data driven building of realistic neuron model using IBEA and CMA evolution strategies

Computational synthesis of cortical dendritic morphologies

Associations between in vitro, in vivo and in silico cell classes in mouse primary visual cortex

A universal workflow for creation, validation and generalization of detailed neuronal models

Hybrid Parameter Optimization Methods

Thalamic control of sensory processing and spindles in a biophysical somatosensory thalamoreticular circuit model of wakefulness and sleep

Hybrid Parameter Optimization Methods

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Neurofitter