Publications de Werner Alfons Hilda Van Geit

A multi-modal fitting approach to construct single-neuron models with patch clamp and high-density microelectrode arrays

Henry Markram, Werner Alfons Hilda Van Geit, Aurélien Tristan Jaquier, Tanguy Pierre Louis Damart, Darshan Mandge, Mickael Maurice Zbili

In computational neuroscience, multicompartment models are among the most biophysically realistic representations of single neurons. Constructing such models usually involves the use of the patch-clamp technique to record somatic voltage signals under diff ...

2024

Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part I: Anatomy

Kathryn Hess Bellwald, Henry Markram, Felix Schürmann, James Gonzalo King, Srikanth Ramaswamy, Juan Bautista Hernando Vieites, Alexis Arnaudon, Eilif Benjamin Muller, Daniel Keller, Michael Reimann, Huanxiang Lu, Ying Shi, Vishal Sood, Jean-Denis Georges Emile Courcol, Werner Alfons Hilda Van Geit, Lida Kanari, Juan Luis Riquelme Roman, Ran Levi, Michael Emiel Gevaert, Pramod Shivaji Kumbhar, Liesbeth Maria L Vanherpe, Armando Romani, Cyrille Pierre Henri Favreau, Judit Planas Carbonell, Adrien Michel Achille Devresse, András Ecker, Nicolas René Jean Ninin, Daniela Egas Santander, Alexander Dietz, Benoît Jean-Albert Coste, Samuel Lieven D. Lapere, Matthias Wolf, Sirio Bolaños Puchet, Hugo Thabo Dictus, Thomas Brice Delemontex, James Bryden Isbister, Janis Lazovskis, Gianluca Ficarelli, Joni Henrikki Herttuainen,

Modeling and simulation of neocortical micro- and mesocircuitry. Part II: Physiology and experimentation

Henry Markram, Felix Schürmann, James Gonzalo King, Rajnish Ranjan, Srikanth Ramaswamy, Alexis Arnaudon, Eilif Benjamin Muller, Daniel Keller, Michael Reimann, Vishal Sood, Jean-Denis Georges Emile Courcol, Werner Alfons Hilda Van Geit, Giuseppe Chindemi, Michael Emiel Gevaert, Pramod Shivaji Kumbhar, Armando Romani, Christian Andreas Rössert, Judit Planas Carbonell, Genrich Ivaska, András Ecker, Daniela Egas Santander, Natali Barros Zulaica, Alexander Dietz, Omar Awile, Samuel Lieven D. Lapere, Matthias Wolf, Sirio Bolaños Puchet, Thomas Brice Delemontex, Jorge Blanco Alonso, Mustafa Anil Tuncel, Tanguy Pierre Louis Damart, Maria Reva, James Bryden Isbister, Darshan Mandge, Weina Ji, Aleksandra Zuzanna Teska, Polina Litvak, Gianluca Ficarelli, Joni Henrikki Herttuainen, ,

Community-based reconstruction and simulation of a full-scale model of region CA1 of rat hippocampus

Henry Markram, Felix Schürmann, James Gonzalo King, Srikanth Ramaswamy, Juan Bautista Hernando Vieites, Alexis Arnaudon, Eilif Benjamin Muller, Michael Reimann, Huanxiang Lu, Ying Shi, Marwan Muhammad Ahmed Abdellah, Vishal Sood, Jean-Denis Georges Emile Courcol, Werner Alfons Hilda Van Geit, Lida Kanari, Juan Luis Riquelme Roman, Michael Emiel Gevaert, Pramod Shivaji Kumbhar, Liesbeth Maria L Vanherpe, Armando Romani, Cyrille Pierre Henri Favreau, Michele Migliore, Mohameth François Sy, Szabolcs Kali, Judit Planas Carbonell, Genrich Ivaska, Sàra Sàray, Carmen Alina Lupascu, Rosanna Migliore, Audrey Mercer, András Ecker, Alberto Antonietti, Cristina Colangelo, Anna-Kristin Kaufmann, Julian Martin Budd, Elisabetta Giacalone, Thomas Brice Delemontex, Davide Bella, Fabien Petitjean, , , , ,

BlueCelluLab: Biologically Detailed Neural Network Experimentation API

Henry Markram, Eilif Benjamin Muller, Werner Alfons Hilda Van Geit, Lida Kanari, Aurélien Tristan Jaquier, Mustafa Anil Tuncel, Darshan Mandge

The NEURON simulator, established in 1984 and continuously developed since, stands as the preeminent tool for neuron simulation within computational neuroscience. Its widespread adoption and compatibility with computational clusters and supercomputers unde ...

The Open Journal2024

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

Werner Alfons Hilda Van Geit, Anatoly Buchin

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

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

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

2023

Controlling morpho-electrophysiological variability of neurons with detailed models

Henry Markram, Alexis Arnaudon, Werner Alfons Hilda Van Geit, Lida Kanari, Maria Reva, Mickael Maurice Zbili

Variability, which is known to be a universal feature among biological units such as neuronal cells, holds significant importance, as, for example, it enables a robust encoding of a high volume of information in neuronal circuits and prevents hypersynchron ...

Cell Press2023

Directional sensitivity of cortical neurons towards TMS induced electric fields

Werner Alfons Hilda Van Geit, Aurélien Tristan Jaquier

We derived computationally efficient average response models of different types of cortical neurons, which are subject to external electric fields from Transcranial Magnetic Stimulation. We used 24 reconstructions of pyramidal cells (PC) from layer 2/3, 24 ...

2023

Statistical Emulation of Neural Simulators: Application to Neocortical L2/3 Large Basket Cells

Idan Segev, Werner Alfons Hilda Van Geit, Oren Amsalem

Many scientific systems are studied using computer codes that simulate the phenomena of interest. Computer simulation enables scientists to study a broad range of possible conditions, generating large quantities of data at a faster rate than the laboratory ...

FRONTIERS MEDIA SA2022

Computational synthesis of cortical dendritic morphologies

Kathryn Hess Bellwald, Henry Markram, Alexis Arnaudon, Julian Charles Shillcock, Werner Alfons Hilda Van Geit, Lida Kanari, 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

Single-neuron models linking electrophysiology, morphology, and transcriptomics across cortical cell types

Werner Alfons Hilda Van Geit, Anatoly Buchin

Which cell types constitute brain circuits is a fundamental question, but establishing the correspondence across cellular data modalities is challenging. Bio-realistic models allow probing cause-and-effect and linking seemingly disparate modalities. Here, ...

2022

Hybrid Parameter Optimization Methods

Werner Alfons Hilda Van Geit

Springer Science+Business Media2022

A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex

Henry Markram, Vincent Delattre, Rodrigo de Campos Perin, James Gonzalo King, Eilif Benjamin Muller, Marwan Muhammad Ahmed Abdellah, Werner Alfons Hilda Van Geit, Giuseppe Chindemi, Aurélien Tristan Jaquier, Pramod Shivaji Kumbhar, Christian Andreas Rössert, András Ecker, Mustafa Anil Tuncel

Pyramidal cells (PCs) form the backbone of the layered structure of the neocortex, and plasticity of their synapses is thought to underlie learning in the brain. However, such long-term synaptic changes have been experimentally characterized between only a ...

Nature Portfolio2022

Neurofitter

Werner Alfons Hilda Van Geit

Springer Science+Business Media2022

HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data

Eilif Benjamin Muller, Werner Alfons Hilda Van Geit, Armando Romani, Szabolcs Kali, Sàra Sàray, Carmen Alina Lupascu, Rosanna Migliore, Luca Leonardo Bologna, Shailesh Appukuttan

Anatomically and biophysically detailed data-driven neuronal models have become widely used tools for understanding and predicting the behavior and function of neurons. Due to the increasing availability of experimental data from anatomical and electrophys ...

2021

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

The SONATA data format for efficient description of large-scale network models

James Gonzalo King, Juan Bautista Hernando Vieites, Eilif Benjamin Muller, Jean-Denis Georges Emile Courcol, Werner Alfons Hilda Van Geit, Michael Emiel Gevaert, Judit Planas Carbonell, Adrien Michel Achille Devresse

Increasing availability of comprehensive experimental datasets and of high-performance computing resources are driving rapid growth in scale, complexity, and biological realism of computational models in neuroscience. To support construction and simulation ...

2020

Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits

Michael Lee Hines, Matteo Cantarelli, Werner Alfons Hilda Van Geit, Sergio Solinas, András Ecker

Computational models are powerful tools for exploring the properties of complex biological systems. In neuroscience, data-driven models of neural circuits that span multiple scales are increasingly being used to understand brain function in health and dise ...

2019