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Werner Alfons Hilda Van Geit

Cette personne n’est plus à l’EPFL

Publications associées (29)

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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

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

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, Eilif Benjamin Muller, Rodrigo de Campos Perin, James Gonzalo King, Vincent Delattre, Mustafa Anil Tuncel, Werner Alfons Hilda Van Geit, Marwan Muhammad Ahmed Abdellah, Pramod Shivaji Kumbhar, Giuseppe Chindemi

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

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

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

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

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

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

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

2019

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

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

2021

Computational synthesis of cortical dendritic morphologies

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

CELL PRESS2022

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

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

ACM2020